Pub Date : 2019-08-22DOI: 10.1109/EST.2019.8806212
H. Alsufyani, Sanaul Hoque, F. Deravi
There is a growing demand for alternative biometric modalities that can handle various real world challenges such as recognizing partially occluded individuals. Skin texture has been proposed as a potential alternative; however, such skin texture analysis can become difficult when captured images are at varying resolutions (due to different distances or devices). This paper explores the prospect of using mixed-resolution facial skin images as a source of biometric information. The four facial skin regions investigated here are the forehead, right cheek, left cheek, and chin which were selected because at least one of these are expected to be captured in real-world scenarios. The proposed framework first localises and assesses the usability of the extracted region of interest (ROI) for subsequent analysis. Local Binary Pattern (LBP) descriptors are then used for feature matching because of their reported effectiveness in extracting skin texture information. Experiments conducted using the XM2VTS database suggest that mixed resolution skin texture images can provide adequate information for biometric applications.
{"title":"Usability of Skin Texture Biometrics for Mixed-Resolution Images","authors":"H. Alsufyani, Sanaul Hoque, F. Deravi","doi":"10.1109/EST.2019.8806212","DOIUrl":"https://doi.org/10.1109/EST.2019.8806212","url":null,"abstract":"There is a growing demand for alternative biometric modalities that can handle various real world challenges such as recognizing partially occluded individuals. Skin texture has been proposed as a potential alternative; however, such skin texture analysis can become difficult when captured images are at varying resolutions (due to different distances or devices). This paper explores the prospect of using mixed-resolution facial skin images as a source of biometric information. The four facial skin regions investigated here are the forehead, right cheek, left cheek, and chin which were selected because at least one of these are expected to be captured in real-world scenarios. The proposed framework first localises and assesses the usability of the extracted region of interest (ROI) for subsequent analysis. Local Binary Pattern (LBP) descriptors are then used for feature matching because of their reported effectiveness in extracting skin texture information. Experiments conducted using the XM2VTS database suggest that mixed resolution skin texture images can provide adequate information for biometric applications.","PeriodicalId":102238,"journal":{"name":"2019 Eighth International Conference on Emerging Security Technologies (EST)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129342752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-08-22DOI: 10.1109/EST.2019.8806201
Asad Ali, Nawal Alsufyani, Sanaul Hoque, F. Deravi
Biometric authentication is vulnerable to presentation (spoofing) attacks. It is important to address the security vulnerability of spoofing attacks where an attacker uses an artefact presented at the sensor to subvert the system. Gaze-tracking has been proposed for such attack detection. In this paper, we explore the sensitivity of a gaze-based approach to spoofing detection in the presence of eye-glasses that may impact detection performance. In particular, we investigate the use of partially tinted glasses such as may be used in hazardous environments or outdoors in mobile application scenarios The attack scenarios considered in this work include the use of projected photos, 2D and 3D masks. A gaze-based spoofing detection system has been extensively evaluated using data captured from volunteers performing genuine attempts (with and without wearing such tinted glasses) as well as spoofing attempts using various artefacts. The results of the evaluations indicate that the presence of tinted glasses has a small impact on the accuracy of attack detection, thereby making the use of such gaze-based features possible for a wider range of applications.
{"title":"Gaze-based Presentation Attack Detection for Users Wearing Tinted Glasses","authors":"Asad Ali, Nawal Alsufyani, Sanaul Hoque, F. Deravi","doi":"10.1109/EST.2019.8806201","DOIUrl":"https://doi.org/10.1109/EST.2019.8806201","url":null,"abstract":"Biometric authentication is vulnerable to presentation (spoofing) attacks. It is important to address the security vulnerability of spoofing attacks where an attacker uses an artefact presented at the sensor to subvert the system. Gaze-tracking has been proposed for such attack detection. In this paper, we explore the sensitivity of a gaze-based approach to spoofing detection in the presence of eye-glasses that may impact detection performance. In particular, we investigate the use of partially tinted glasses such as may be used in hazardous environments or outdoors in mobile application scenarios The attack scenarios considered in this work include the use of projected photos, 2D and 3D masks. A gaze-based spoofing detection system has been extensively evaluated using data captured from volunteers performing genuine attempts (with and without wearing such tinted glasses) as well as spoofing attempts using various artefacts. The results of the evaluations indicate that the presence of tinted glasses has a small impact on the accuracy of attack detection, thereby making the use of such gaze-based features possible for a wider range of applications.","PeriodicalId":102238,"journal":{"name":"2019 Eighth International Conference on Emerging Security Technologies (EST)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116055822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-22DOI: 10.1109/EST.2019.8806222
Zhihao Chen, R. Khemmar, B. Decoux, A. Atahouet, J. Ertaud
In this paper, we will introduce our object detection, localization and tracking system for smart mobility applications like traffic road and railway environment. Firstly, an object detection and tracking approach was firstly carried out within two deep learning approaches: You Only Look Once (YOLO) V3 and Single Shot Detector (SSD). A comparison between the two methods allows us to identify their applicability in the traffic environment. Both the performances in road and in railway environments were evaluated. Secondly, object distance estimation based on Monodepth algorithm was developed. This model is trained on stereo images dataset but its inference uses monocular images. As the output data, we have a disparity map that we combine with the output of object detection. To validate our approach, we have tested two models with different backbones including VGG and ResNet used with two datasets: Cityscape and KITTI. As the last step of our approach, we have developed a new method-based SSD to analyse the behavior of pedestrian and vehicle by tracking their movements even in case of no detection on some images of a sequence. We have developed an algorithm based on the coordinates of the output bounding boxes of the SSD algorithm. The objective is to determine if the trajectory of a pedestrian or vehicle can lead to a dangerous situations. The whole of development is tested in real vehicle traffic conditions in Rouen city center, and with videos taken by embedded cameras along the Rouen tramway.
在本文中，我们将介绍我们的目标检测，定位和跟踪系统，用于智能移动应用，如交通道路和铁路环境。首先，在两种深度学习方法:You Only Look Once (YOLO) V3和Single Shot Detector (SSD)中首先进行了目标检测和跟踪方法。通过对两种方法的比较，我们可以确定它们在交通环境中的适用性。对其在公路和铁路环境下的性能进行了评价。其次，提出了基于Monodepth算法的目标距离估计方法。该模型是在立体图像数据集上训练的，但其推理使用的是单眼图像。作为输出数据，我们有一个视差图，我们结合输出的目标检测。为了验证我们的方法，我们测试了两个具有不同主干的模型，包括VGG和ResNet，使用两个数据集:Cityscape和KITTI。作为我们方法的最后一步，我们开发了一种基于SSD的新方法，即使在序列的某些图像没有检测的情况下，也可以通过跟踪行人和车辆的运动来分析他们的行为。我们开发了一种基于SSD算法的输出边界框坐标的算法。目的是确定行人或车辆的轨迹是否会导致危险情况。整个开发过程在鲁昂市中心的真实车辆交通条件下进行了测试，并通过鲁昂有轨电车沿线的嵌入式摄像头拍摄了视频。
{"title":"Real Time Object Detection, Tracking, and Distance and Motion Estimation based on Deep Learning: Application to Smart Mobility","authors":"Zhihao Chen, R. Khemmar, B. Decoux, A. Atahouet, J. Ertaud","doi":"10.1109/EST.2019.8806222","DOIUrl":"https://doi.org/10.1109/EST.2019.8806222","url":null,"abstract":"In this paper, we will introduce our object detection, localization and tracking system for smart mobility applications like traffic road and railway environment. Firstly, an object detection and tracking approach was firstly carried out within two deep learning approaches: You Only Look Once (YOLO) V3 and Single Shot Detector (SSD). A comparison between the two methods allows us to identify their applicability in the traffic environment. Both the performances in road and in railway environments were evaluated. Secondly, object distance estimation based on Monodepth algorithm was developed. This model is trained on stereo images dataset but its inference uses monocular images. As the output data, we have a disparity map that we combine with the output of object detection. To validate our approach, we have tested two models with different backbones including VGG and ResNet used with two datasets: Cityscape and KITTI. As the last step of our approach, we have developed a new method-based SSD to analyse the behavior of pedestrian and vehicle by tracking their movements even in case of no detection on some images of a sequence. We have developed an algorithm based on the coordinates of the output bounding boxes of the SSD algorithm. The objective is to determine if the trajectory of a pedestrian or vehicle can lead to a dangerous situations. The whole of development is tested in real vehicle traffic conditions in Rouen city center, and with videos taken by embedded cameras along the Rouen tramway.","PeriodicalId":102238,"journal":{"name":"2019 Eighth International Conference on Emerging Security Technologies (EST)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115803589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-22DOI: 10.1109/EST.2019.8806216
Saleh Mulhem, Mouadh Ayache, W. Adi
Physical Unclonable Functions PUFs were proposed about two decades ago for creating physically unclonable VLSI units. PUFs as analog structures, are inherently rather costly in implementation and less consistent in the re-identification process. The novel technique proposed in this work, converts (mutates) a non-volatile SoC FPGA device at low cost into a consistent clone-resistant unit. A true random generator triggers an internal smart program which creates/mutates internally (in a post-production single-event process) a permanent physical Secret Unknown Cipher (SUC) module. This is seen as an electronic “mutation” in a self-reconfiguring non-volatile-FPGA SoC environment. The created entity results with some unknown, however operational Cipher SUC. As the SUC structure is non-volatile, the unit becomes permanently clone-resistant if any later changes are irreversibly prohibited. A large cipher class based on mini-blocks of 4-bit mappings and bundle permutations making use of the FPGA 4-input LUT structures is created. To create an SUC within a device, a single cipher is randomly selected from the large class. As nobody knows the internally selected cipher, the resulting cipher-module is unknown and could serve as a hard to clone physical identity. A perfect secret is the one which nobody knows. Once it is possible to know, it becomes clonable. A sample use case protocol challenging the particular created cipher is shown how to securely identify the device. A sample prototype implementation scenario for the proposed cipher is presented using Microsemi SmartFusion2 SoC FPGA technology. Complexity, performance and security aspects of the resulting new system are discussed and evaluated.
{"title":"Mini-Block-Based Cipher Class for Physically Clone-Resistant Devices","authors":"Saleh Mulhem, Mouadh Ayache, W. Adi","doi":"10.1109/EST.2019.8806216","DOIUrl":"https://doi.org/10.1109/EST.2019.8806216","url":null,"abstract":"Physical Unclonable Functions PUFs were proposed about two decades ago for creating physically unclonable VLSI units. PUFs as analog structures, are inherently rather costly in implementation and less consistent in the re-identification process. The novel technique proposed in this work, converts (mutates) a non-volatile SoC FPGA device at low cost into a consistent clone-resistant unit. A true random generator triggers an internal smart program which creates/mutates internally (in a post-production single-event process) a permanent physical Secret Unknown Cipher (SUC) module. This is seen as an electronic “mutation” in a self-reconfiguring non-volatile-FPGA SoC environment. The created entity results with some unknown, however operational Cipher SUC. As the SUC structure is non-volatile, the unit becomes permanently clone-resistant if any later changes are irreversibly prohibited. A large cipher class based on mini-blocks of 4-bit mappings and bundle permutations making use of the FPGA 4-input LUT structures is created. To create an SUC within a device, a single cipher is randomly selected from the large class. As nobody knows the internally selected cipher, the resulting cipher-module is unknown and could serve as a hard to clone physical identity. A perfect secret is the one which nobody knows. Once it is possible to know, it becomes clonable. A sample use case protocol challenging the particular created cipher is shown how to securely identify the device. A sample prototype implementation scenario for the proposed cipher is presented using Microsemi SmartFusion2 SoC FPGA technology. Complexity, performance and security aspects of the resulting new system are discussed and evaluated.","PeriodicalId":102238,"journal":{"name":"2019 Eighth International Conference on Emerging Security Technologies (EST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128665097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-22DOI: 10.1109/EST.2019.8806211
C. Frowd, E. Portch, Abigail Killeen, Lydia Mullen, Alexander J. Martin, P. Hancock
This paper assesses use of the EvoFIT facial composite system by police practitioners in the UK and overseas. Results reveal that this forensic system is used extensively: a total of 2,440 times since September 2013. With a suspect identification rate of 60% and a conviction rate of 17%, the impact of this forensic technique is appreciable for helping the police to identify offenders. It was also found that empirically-driven enhancement techniques were used frequently by police practitioners-including use of detailed context reinstatement and holistic techniques during interview, and asking the witness to focus on the eye-region during construction. Research evaluating EvoFIT images published in the media also revealed that composites were produced mostly for serious offences, in particular for sexual crimes. In addition, the vast majority were of male offenders, in their early 30's; victims were female (aged mid 20's to mid 30's); these demographics were similar to composites emerging from another recognition system, EFIT-V / 6. Although this exercise revealed that EvoFIT composites were sometimes published using a more optimal stretched mode, some were presented in a way that did not faithfully represent the constructed image, with the external features cropped. In conclusion, the EvoFIT system is clearly being deployed frequently, with appreciable impact, in the fight against crime.
{"title":"EvoFIT Facial Composite Images: A Detailed Assessment of Impact on Forensic Practitioners, Police Investigators, Victims, Witnesses, Offenders and the Media","authors":"C. Frowd, E. Portch, Abigail Killeen, Lydia Mullen, Alexander J. Martin, P. Hancock","doi":"10.1109/EST.2019.8806211","DOIUrl":"https://doi.org/10.1109/EST.2019.8806211","url":null,"abstract":"This paper assesses use of the EvoFIT facial composite system by police practitioners in the UK and overseas. Results reveal that this forensic system is used extensively: a total of 2,440 times since September 2013. With a suspect identification rate of 60% and a conviction rate of 17%, the impact of this forensic technique is appreciable for helping the police to identify offenders. It was also found that empirically-driven enhancement techniques were used frequently by police practitioners-including use of detailed context reinstatement and holistic techniques during interview, and asking the witness to focus on the eye-region during construction. Research evaluating EvoFIT images published in the media also revealed that composites were produced mostly for serious offences, in particular for sexual crimes. In addition, the vast majority were of male offenders, in their early 30's; victims were female (aged mid 20's to mid 30's); these demographics were similar to composites emerging from another recognition system, EFIT-V / 6. Although this exercise revealed that EvoFIT composites were sometimes published using a more optimal stretched mode, some were presented in a way that did not faithfully represent the constructed image, with the external features cropped. In conclusion, the EvoFIT system is clearly being deployed frequently, with appreciable impact, in the fight against crime.","PeriodicalId":102238,"journal":{"name":"2019 Eighth International Conference on Emerging Security Technologies (EST)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133390481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-22DOI: 10.1109/EST.2019.8806219
A. Ledoux, Ngoc Bich Dao, Paul Lahmi, Mickaël Coustaty
In this paper, we present a new application of shape morphing in font generation. This method is adapted to the text tattooing context. The advantages of using this method for font generation are: the ability to generate all font characters in one step; all characters are changed; the user must only provide a shape towards which the characters will be distorted and define the percentage of deformation. In the context of text tattooing, the characters in the original text must be modified to embed information without disturbing the reading. Therefore, each character of the new font must be at the same time different and similar to the one of the font of the original document (Times New Roman, Arial, etc). In the results section, we show the visual similarity of the obtained characters as well as their ability to distinguish themselves in a classification process.
本文提出了形状变形在字体生成中的一种新应用。这种方法适合于文字文身的语境。使用这种方法生成字体的优点是:能够在一步中生成所有字体字符;所有的字符都改变了;用户必须只提供一个形状，字符将被扭曲，并定义变形的百分比。在文字纹身的情况下，必须对原文中的文字进行修改，在不干扰阅读的情况下嵌入信息。因此，新字体的每个字符必须与原文档的字体(Times new Roman, Arial等)中的一个字符不同，同时又相似。在结果部分，我们展示了所获得字符的视觉相似性以及它们在分类过程中区分自己的能力。
{"title":"Alphanumeric Glyphs Transformation Based on Shape Morphing: Context of Text","authors":"A. Ledoux, Ngoc Bich Dao, Paul Lahmi, Mickaël Coustaty","doi":"10.1109/EST.2019.8806219","DOIUrl":"https://doi.org/10.1109/EST.2019.8806219","url":null,"abstract":"In this paper, we present a new application of shape morphing in font generation. This method is adapted to the text tattooing context. The advantages of using this method for font generation are: the ability to generate all font characters in one step; all characters are changed; the user must only provide a shape towards which the characters will be distorted and define the percentage of deformation. In the context of text tattooing, the characters in the original text must be modified to embed information without disturbing the reading. Therefore, each character of the new font must be at the same time different and similar to the one of the font of the original document (Times New Roman, Arial, etc). In the results section, we show the visual similarity of the obtained characters as well as their ability to distinguish themselves in a classification process.","PeriodicalId":102238,"journal":{"name":"2019 Eighth International Conference on Emerging Security Technologies (EST)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124246187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-22DOI: 10.1109/EST.2019.8806215
K. Alheeti, M. Al-Ani, K. Mcdonald-Maier
The widespread use of drones has become very common today with large-scale civil and military applications. In the next few coming years, the outlook is expected that the number of drones will reach millions. So, these need to be well organised and managed in order to achieve the benefits of IoT with this accelerated environment. Drones or Unmanned Aerial Vehicles (UAVs) must achieved a level of communications to authenticate a legal working. The proposed approach concentrated on preparing each drone with identification key based on the combination of its international sim number with the date of the first action and the local country code. This approach is called Drone IDentification (DID) that generate a unique code for each drone via spreading technique. In this case any drone not apply this regulation is considered as unauthenticated drone and does not allowed to fly. This approach is very important to establish drone regulation via IoT.
{"title":"Spreading Code Identification of Legal Drones in IoT Environment","authors":"K. Alheeti, M. Al-Ani, K. Mcdonald-Maier","doi":"10.1109/EST.2019.8806215","DOIUrl":"https://doi.org/10.1109/EST.2019.8806215","url":null,"abstract":"The widespread use of drones has become very common today with large-scale civil and military applications. In the next few coming years, the outlook is expected that the number of drones will reach millions. So, these need to be well organised and managed in order to achieve the benefits of IoT with this accelerated environment. Drones or Unmanned Aerial Vehicles (UAVs) must achieved a level of communications to authenticate a legal working. The proposed approach concentrated on preparing each drone with identification key based on the combination of its international sim number with the date of the first action and the local country code. This approach is called Drone IDentification (DID) that generate a unique code for each drone via spreading technique. In this case any drone not apply this regulation is considered as unauthenticated drone and does not allowed to fly. This approach is very important to establish drone regulation via IoT.","PeriodicalId":102238,"journal":{"name":"2019 Eighth International Conference on Emerging Security Technologies (EST)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114377078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-22DOI: 10.1109/EST.2019.8806208
R. Sámano-Robles
This paper presents a framework for medium access control (MAC) and physical (PRY) cross-layer security design of wireless avionics intra-communications (WAICs). The paper explores the different options based on the latest results of MAC-PRY cross-layer design and the available standard technologies for WAICs. Particular emphasis is given to solutions based on multiple-input multiple-output (MIMO) systems and recent developments towards a wireless technology with ultra-low latency and high reliability in the context of 5G and machine-type traffic support. One major objective is to improve WAICs technology and thus match the real-time, reliability and safety critical performance of the internal aeronautics bus technologies (e.g., ARINC 664). The main identified vulnerabilities and potential solutions are explored, as well as their impact on system design complexity and feasibility for wireless networks on-board aircraft. The solutions are presented in the context of the European project SCOTT (secure connected trustable things) using the recently released reference architecture for trusted IoT systems. Other aspects of SCOTT such as trust, privacy, security classes, and safety are also discussed here for the aeronautics domain.
{"title":"MAC-PRY Cross-Layer Design for Secure Wireless Avionics Intra-Communications","authors":"R. Sámano-Robles","doi":"10.1109/EST.2019.8806208","DOIUrl":"https://doi.org/10.1109/EST.2019.8806208","url":null,"abstract":"This paper presents a framework for medium access control (MAC) and physical (PRY) cross-layer security design of wireless avionics intra-communications (WAICs). The paper explores the different options based on the latest results of MAC-PRY cross-layer design and the available standard technologies for WAICs. Particular emphasis is given to solutions based on multiple-input multiple-output (MIMO) systems and recent developments towards a wireless technology with ultra-low latency and high reliability in the context of 5G and machine-type traffic support. One major objective is to improve WAICs technology and thus match the real-time, reliability and safety critical performance of the internal aeronautics bus technologies (e.g., ARINC 664). The main identified vulnerabilities and potential solutions are explored, as well as their impact on system design complexity and feasibility for wireless networks on-board aircraft. The solutions are presented in the context of the European project SCOTT (secure connected trustable things) using the recently released reference architecture for trusted IoT systems. Other aspects of SCOTT such as trust, privacy, security classes, and safety are also discussed here for the aeronautics domain.","PeriodicalId":102238,"journal":{"name":"2019 Eighth International Conference on Emerging Security Technologies (EST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130875296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/EST.2019.8806207
P. Farkaš
Recently two countermeasures against reaction Attacks on McEliece cryptosystems with QC-LDPC and QC-MDPC codes were proposed. In this paper further heuristic discussion and elements of the protocol proposals are presented which can bring a system with these techniques closer to practical applications and also can enhance the overall security of the systems which will use them.
{"title":"Further Heuristic Discussion on Two Countermeasures against Reaction Attacks on McEliece Cryptosystems with QCLDPC Codes","authors":"P. Farkaš","doi":"10.1109/EST.2019.8806207","DOIUrl":"https://doi.org/10.1109/EST.2019.8806207","url":null,"abstract":"Recently two countermeasures against reaction Attacks on McEliece cryptosystems with QC-LDPC and QC-MDPC codes were proposed. In this paper further heuristic discussion and elements of the protocol proposals are presented which can bring a system with these techniques closer to practical applications and also can enhance the overall security of the systems which will use them.","PeriodicalId":102238,"journal":{"name":"2019 Eighth International Conference on Emerging Security Technologies (EST)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124520008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/EST.2019.8806218
Supriya Yadav, G. Howells
In this paper we investigate several potential hardware features from multiple devices for suitability during the employment of a device identification. The generation of stable and unique digital identity from features is challenging in device identification because of the unstable operation environments that implies the features employed are likely to vary under normal operating conditions. To address this, we introduce a novel multi-dimensional key generation technology which maps from multi-dimensional feature space directly to a key space. Furthermore, normalized distributions of features give the necessary data to model the characteristics, from which we derive intra-sample device feature distributions, and correlate the distinct features to generate a secure key to identify the device.
{"title":"Secure Device Identification Using Multidimensional Mapping","authors":"Supriya Yadav, G. Howells","doi":"10.1109/EST.2019.8806218","DOIUrl":"https://doi.org/10.1109/EST.2019.8806218","url":null,"abstract":"In this paper we investigate several potential hardware features from multiple devices for suitability during the employment of a device identification. The generation of stable and unique digital identity from features is challenging in device identification because of the unstable operation environments that implies the features employed are likely to vary under normal operating conditions. To address this, we introduce a novel multi-dimensional key generation technology which maps from multi-dimensional feature space directly to a key space. Furthermore, normalized distributions of features give the necessary data to model the characteristics, from which we derive intra-sample device feature distributions, and correlate the distinct features to generate a secure key to identify the device.","PeriodicalId":102238,"journal":{"name":"2019 Eighth International Conference on Emerging Security Technologies (EST)","volume":"431 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133983525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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