Pub Date : 2018-08-01DOI: 10.1109/W-FICLOUD.2018.00024
M. Cavojský, Marek Uhlar, Marian Ivanis, Martin Molnar, M. Drozda
We have proposed, implemented and compared several approaches for user movement (trajectory) extraction. Unlike other approaches, our approaches are purely based on WiFi sensing without the knowledge of user's physical location. This is a favorable approach in scenarios that aim at high energy efficiency. We only collect WiFi information passively, i.e. we only listen to broadcast beacons and do not transmit any probe requests. Our tests are based on 1,000+ Android mobile devices.
{"title":"User Trajectory Extraction Based on WiFi Scanning","authors":"M. Cavojský, Marek Uhlar, Marian Ivanis, Martin Molnar, M. Drozda","doi":"10.1109/W-FICLOUD.2018.00024","DOIUrl":"https://doi.org/10.1109/W-FICLOUD.2018.00024","url":null,"abstract":"We have proposed, implemented and compared several approaches for user movement (trajectory) extraction. Unlike other approaches, our approaches are purely based on WiFi sensing without the knowledge of user's physical location. This is a favorable approach in scenarios that aim at high energy efficiency. We only collect WiFi information passively, i.e. we only listen to broadcast beacons and do not transmit any probe requests. Our tests are based on 1,000+ Android mobile devices.","PeriodicalId":218683,"journal":{"name":"2018 6th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115448972","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 : 2018-08-01DOI: 10.1109/W-FICLOUD.2018.00027
M. Ghazal, M. Alhalabi, Mansour Chabnari, Linda Ghazal, L. Fraiwan
In this paper, we propose a framework that caters for diabetic patients in the UAE. The system integrates a small and lightweight wearable device in the form of a watch with a mobile application to aid in the analysis of blood glucose level. Diabetes is considered a challenge for both the medical expert and the patient. Currently, the existing devices utilised by diabetic people are bulky and not portable. The inconvenience of such devices creates the need to propose a compact and reliable solution to measure the glucose level in the blood. The multipurpose user-friendly features of the accompanying mobile application presents users with a glycemic index calculator based on user-inputted recipes. Moreover, it predicts the blood glucose level trends upon consumption of certain ingredients and based on earlier trends and presents them to the user in the form of time-stamped graphs; ensuring that the patient is aware of his glucose levels. Furthermore, users are informed to take their medications on predefined intervals through push notifications. The device itself is designed to function as a colour-coded blood glucose indicator that ranges from very high to very low. To prove the efficiency of our system, we tested the device on patients with different glucose levels. Our results validate the usefulness of this framework to a function as a means of awareness and detection of the glucose level in the blood.
{"title":"Design and Implementation of a Mobile Device for Blood Glucose Level Assessment","authors":"M. Ghazal, M. Alhalabi, Mansour Chabnari, Linda Ghazal, L. Fraiwan","doi":"10.1109/W-FICLOUD.2018.00027","DOIUrl":"https://doi.org/10.1109/W-FICLOUD.2018.00027","url":null,"abstract":"In this paper, we propose a framework that caters for diabetic patients in the UAE. The system integrates a small and lightweight wearable device in the form of a watch with a mobile application to aid in the analysis of blood glucose level. Diabetes is considered a challenge for both the medical expert and the patient. Currently, the existing devices utilised by diabetic people are bulky and not portable. The inconvenience of such devices creates the need to propose a compact and reliable solution to measure the glucose level in the blood. The multipurpose user-friendly features of the accompanying mobile application presents users with a glycemic index calculator based on user-inputted recipes. Moreover, it predicts the blood glucose level trends upon consumption of certain ingredients and based on earlier trends and presents them to the user in the form of time-stamped graphs; ensuring that the patient is aware of his glucose levels. Furthermore, users are informed to take their medications on predefined intervals through push notifications. The device itself is designed to function as a colour-coded blood glucose indicator that ranges from very high to very low. To prove the efficiency of our system, we tested the device on patients with different glucose levels. Our results validate the usefulness of this framework to a function as a means of awareness and detection of the glucose level in the blood.","PeriodicalId":218683,"journal":{"name":"2018 6th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114645255","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 : 2018-08-01DOI: 10.1109/W-FICLOUD.2018.00035
Macdonald Chikapa, A. P. Namanya
The profitability in cybercrime activity has resulted into an exponential growth of malware numbers and complexity. This has led to both industry and academic research building malware research labs to allow for deeper malware analysis so that for more efficient detection techniques can be proposed. Extended malware study could lead to development of more advanced malware signatures, potentially resulting into designing of secure systems thus a resilient cyberspace. Malware classification and clustering based on malware families and traits is an important step in malware analysis. This paper presents a comparative study of file format hashes that are used in the industry is conducted in an effort towards suggesting an approach for faster and easier offline malware classification framework.
{"title":"Towards a Fast Off-Line Static Malware Analysis Framework","authors":"Macdonald Chikapa, A. P. Namanya","doi":"10.1109/W-FICLOUD.2018.00035","DOIUrl":"https://doi.org/10.1109/W-FICLOUD.2018.00035","url":null,"abstract":"The profitability in cybercrime activity has resulted into an exponential growth of malware numbers and complexity. This has led to both industry and academic research building malware research labs to allow for deeper malware analysis so that for more efficient detection techniques can be proposed. Extended malware study could lead to development of more advanced malware signatures, potentially resulting into designing of secure systems thus a resilient cyberspace. Malware classification and clustering based on malware families and traits is an important step in malware analysis. This paper presents a comparative study of file format hashes that are used in the industry is conducted in an effort towards suggesting an approach for faster and easier offline malware classification framework.","PeriodicalId":218683,"journal":{"name":"2018 6th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116701969","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 : 2018-08-01DOI: 10.1109/W-FICLOUD.2018.00034
Adriano Maia, Filipe Portela, M. Santos
The usage of web intelligence systems in Education has been growing in the last years. The large amount of papers, dissertations and articles about this topic, created in the last decade, is a proof of the investment in the research of this theme. This paper has the main purpose of obtaining a better comprehension of the benefits and the disadvantages of implementing this type of systems to improve the way that we learn and teach. With this main goal in mind and considering that a simple analysis of a normalized database is not sufficient, a Web Intelligent System (WIS) was designed. This type of implementation allows the evaluation of large amounts of data (in this case related to Education), with a lot of incoherences, most of the time, which could be more easily analyzed with the help of the tools, supplied by these systems. This study was conducted with a sample of more than 133 students, that attended the course of Web Programming, in MiEGSI (master's degree in Information Systems) in University of Minho. With the WIS, it was possible to understand the main reasons that lead to success or retention in education, if this type of implementation was well accepted and used by the students, along with other important aspects, which can be verified by the results obtained. The application was accessed 21349 times, which means, in average, every student accessed it 143 times. The rate of retention is 10.5 % which corresponds to a total of 14 students that did not achieve success within the course. In average 25 students did not attend the classes, which links to the principal cause of retention.
{"title":"Web Intelligence in Higher Education: A Study on the Usage of Business Intelligence Techniques in Education","authors":"Adriano Maia, Filipe Portela, M. Santos","doi":"10.1109/W-FICLOUD.2018.00034","DOIUrl":"https://doi.org/10.1109/W-FICLOUD.2018.00034","url":null,"abstract":"The usage of web intelligence systems in Education has been growing in the last years. The large amount of papers, dissertations and articles about this topic, created in the last decade, is a proof of the investment in the research of this theme. This paper has the main purpose of obtaining a better comprehension of the benefits and the disadvantages of implementing this type of systems to improve the way that we learn and teach. With this main goal in mind and considering that a simple analysis of a normalized database is not sufficient, a Web Intelligent System (WIS) was designed. This type of implementation allows the evaluation of large amounts of data (in this case related to Education), with a lot of incoherences, most of the time, which could be more easily analyzed with the help of the tools, supplied by these systems. This study was conducted with a sample of more than 133 students, that attended the course of Web Programming, in MiEGSI (master's degree in Information Systems) in University of Minho. With the WIS, it was possible to understand the main reasons that lead to success or retention in education, if this type of implementation was well accepted and used by the students, along with other important aspects, which can be verified by the results obtained. The application was accessed 21349 times, which means, in average, every student accessed it 143 times. The rate of retention is 10.5 % which corresponds to a total of 14 students that did not achieve success within the course. In average 25 students did not attend the classes, which links to the principal cause of retention.","PeriodicalId":218683,"journal":{"name":"2018 6th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"458 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125829278","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 : 2018-08-01DOI: 10.1109/W-FICLOUD.2018.00040
Justas Salkevicius, Lukas Navickas
Recent advances of the virtual reality technology and the spread of high quality consumer-grade devices made a virtual reality exposure treatment as an accessible option for psychological clinics. Effectiveness of this kind of therapy has been investigated for more than 25 years although the massive hardware improvements requires new studies to be made in order to measure the impact created by latest virtual reality headsets capabilities. In this paper we report our efforts to design and develop a cloud based software as a service solution which will be used in randomized controlled trials of the virtual reality exposure therapy for public speaking anxiety disorder. We describe a design and development process which involves creation of the virtual environments and a service which enables the therapist to regulate and adapt the therapy session intensity for each the patient in the real-time.
{"title":"Battling the Fear of Public Speaking: Designing Software as a Service Solution for a Virtual Reality Therapy","authors":"Justas Salkevicius, Lukas Navickas","doi":"10.1109/W-FICLOUD.2018.00040","DOIUrl":"https://doi.org/10.1109/W-FICLOUD.2018.00040","url":null,"abstract":"Recent advances of the virtual reality technology and the spread of high quality consumer-grade devices made a virtual reality exposure treatment as an accessible option for psychological clinics. Effectiveness of this kind of therapy has been investigated for more than 25 years although the massive hardware improvements requires new studies to be made in order to measure the impact created by latest virtual reality headsets capabilities. In this paper we report our efforts to design and develop a cloud based software as a service solution which will be used in randomized controlled trials of the virtual reality exposure therapy for public speaking anxiety disorder. We describe a design and development process which involves creation of the virtual environments and a service which enables the therapist to regulate and adapt the therapy session intensity for each the patient in the real-time.","PeriodicalId":218683,"journal":{"name":"2018 6th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114171717","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 : 2018-08-01DOI: 10.1109/W-FICLOUD.2018.00031
Ahmed Darweesh, A. Abouelfarag, Rania Kadry
The integration of computers in everyday life activities has increased the image sizes of data transmitted on the available databases. Mobile phone and computers across the globe generate gigabytes and terabytes of images necessitating platforms that can analyse and process images in real time to meet the users' demands yet most of the available database platforms lack the capability. Distributed nodes have been poised to have better performance during data image processing. This paper presents firebase framework (FIFW) to show how the use of distributed computing for image processing on mobile nodes based can provide a better solution towards image processing especially when based on an android firebase. Firebase platform provides a real time cloud based database that can store and synchronize data between devices in real time using cloud-hosted, NoSQL database. The updated data between nodes and processed in milliseconds alongside the easy to use mobile nodes provide a great user experience regardless of the network connectivity.
{"title":"Real Time Adaptive Approach for Image Processing Using Mobile Nodes","authors":"Ahmed Darweesh, A. Abouelfarag, Rania Kadry","doi":"10.1109/W-FICLOUD.2018.00031","DOIUrl":"https://doi.org/10.1109/W-FICLOUD.2018.00031","url":null,"abstract":"The integration of computers in everyday life activities has increased the image sizes of data transmitted on the available databases. Mobile phone and computers across the globe generate gigabytes and terabytes of images necessitating platforms that can analyse and process images in real time to meet the users' demands yet most of the available database platforms lack the capability. Distributed nodes have been poised to have better performance during data image processing. This paper presents firebase framework (FIFW) to show how the use of distributed computing for image processing on mobile nodes based can provide a better solution towards image processing especially when based on an android firebase. Firebase platform provides a real time cloud based database that can store and synchronize data between devices in real time using cloud-hosted, NoSQL database. The updated data between nodes and processed in milliseconds alongside the easy to use mobile nodes provide a great user experience regardless of the network connectivity.","PeriodicalId":218683,"journal":{"name":"2018 6th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124766381","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 : 2018-08-01DOI: 10.1109/W-FiCloud.2018.00020
V. Kireev, S. A. Filippov, A. Guseva, Pyotr V. Bochkaryov, I. A. Kuznetsov, V. Migalin
The development of cloud technologies, miniaturization of computing and sensor devices has led to an explosive growth in the field of the Internet of Things. One of the promising research areas within the framework of this concept is smart homes, and, more broadly, smart cities, associated with increasing the values of such parameters of housing and utility services as energy efficiency, resistance to failures, failing and efficiency in general. This article is devoted to the development of an information system for monitoring, remote management and maintenance of engineering systems at the housing infrastructure facilities. The functions of information system include the operational status control of engineering systems on housing infrastructure objects, support, maintenance, repair, prediction and alerts on routine, unplanned and critical situations. Data from engineering objects is transferred over a network to the cloud for processing and subsequent analysis. The IoT infrastructure is used for collecting data from engineering objects. The article presents the results of a comparative analysis of technologies and protocols, and substantiates the proposed architectural solution based on the Raspberry and MQTT.
{"title":"Cloud Computing in Housing and Utility Services Monitoring Systems","authors":"V. Kireev, S. A. Filippov, A. Guseva, Pyotr V. Bochkaryov, I. A. Kuznetsov, V. Migalin","doi":"10.1109/W-FiCloud.2018.00020","DOIUrl":"https://doi.org/10.1109/W-FiCloud.2018.00020","url":null,"abstract":"The development of cloud technologies, miniaturization of computing and sensor devices has led to an explosive growth in the field of the Internet of Things. One of the promising research areas within the framework of this concept is smart homes, and, more broadly, smart cities, associated with increasing the values of such parameters of housing and utility services as energy efficiency, resistance to failures, failing and efficiency in general. This article is devoted to the development of an information system for monitoring, remote management and maintenance of engineering systems at the housing infrastructure facilities. The functions of information system include the operational status control of engineering systems on housing infrastructure objects, support, maintenance, repair, prediction and alerts on routine, unplanned and critical situations. Data from engineering objects is transferred over a network to the cloud for processing and subsequent analysis. The IoT infrastructure is used for collecting data from engineering objects. The article presents the results of a comparative analysis of technologies and protocols, and substantiates the proposed architectural solution based on the Raspberry and MQTT.","PeriodicalId":218683,"journal":{"name":"2018 6th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127246762","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 : 2018-08-01DOI: 10.1109/W-FICLOUD.2018.00007
Shohei Toyama, M. Hirayama
Along with the advancement of the information engineering, various types of Internet of Things (IoT) system have also been expanding. According with these technical trend, usability of a User Interface (UI) in IoT system becomes quite important. In this paper, we propose a design method that considers both the hardware and software aspects of the UI of IoT system. The UI of IoT system must be considered hardware constraints as well as the software design of the UI. The proposed method enables an optimal UI design of IoT system by combining system design and UI design. In addition, we experimentally extracted UI design rules from UI in some simple embedded systems, and we also confirmed that the extracted rules can be used for UI design of practical products.
{"title":"User Interface Design Method Considering UI Device in Internet of Things System","authors":"Shohei Toyama, M. Hirayama","doi":"10.1109/W-FICLOUD.2018.00007","DOIUrl":"https://doi.org/10.1109/W-FICLOUD.2018.00007","url":null,"abstract":"Along with the advancement of the information engineering, various types of Internet of Things (IoT) system have also been expanding. According with these technical trend, usability of a User Interface (UI) in IoT system becomes quite important. In this paper, we propose a design method that considers both the hardware and software aspects of the UI of IoT system. The UI of IoT system must be considered hardware constraints as well as the software design of the UI. The proposed method enables an optimal UI design of IoT system by combining system design and UI design. In addition, we experimentally extracted UI design rules from UI in some simple embedded systems, and we also confirmed that the extracted rules can be used for UI design of practical products.","PeriodicalId":218683,"journal":{"name":"2018 6th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132497539","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 : 2018-08-01DOI: 10.1109/W-FICLOUD.2018.00045
Sarra Mehamel, K. Slimani, S. Bouzefrane, M. Daoui
To bring data contents and services in close proximity to the mobile user, mobile edge networks are good candidate because they provide cloud computing and caching capabilities at the edge of cellular networks, hence offering proximity that ensures low latency and high bandwidth through the concept of Mobile Edge Computing (MEC) [22]. To supply effective caching services in the highly resourceconstrained and dynamically mobile environment, we propose an energy-efficient fuzzy caching technique for edge devices. This technique uses various parameters (such as mobility and requests frequency) to ensure the effectiveness of our proposed mechanism that highlights the challenge of the computational complexity in mobile edge computing. In this paper, our contribution is a novel solution based on a hardware implementation that uses Field-Programmable Gate Array (FPGA) as an alternative computational architecture that cuts overall energy requirements. Preliminary implementation and evaluation results demonstrate that the proposed solution reduces the energy consumption and the server load of the edge devices by using an FPGA implementation for fuzzy logic caching decision.
{"title":"Energy-Efficient Hardware Caching Decision Using Fuzzy Logic in Mobile Edge Computing","authors":"Sarra Mehamel, K. Slimani, S. Bouzefrane, M. Daoui","doi":"10.1109/W-FICLOUD.2018.00045","DOIUrl":"https://doi.org/10.1109/W-FICLOUD.2018.00045","url":null,"abstract":"To bring data contents and services in close proximity to the mobile user, mobile edge networks are good candidate because they provide cloud computing and caching capabilities at the edge of cellular networks, hence offering proximity that ensures low latency and high bandwidth through the concept of Mobile Edge Computing (MEC) [22]. To supply effective caching services in the highly resourceconstrained and dynamically mobile environment, we propose an energy-efficient fuzzy caching technique for edge devices. This technique uses various parameters (such as mobility and requests frequency) to ensure the effectiveness of our proposed mechanism that highlights the challenge of the computational complexity in mobile edge computing. In this paper, our contribution is a novel solution based on a hardware implementation that uses Field-Programmable Gate Array (FPGA) as an alternative computational architecture that cuts overall energy requirements. Preliminary implementation and evaluation results demonstrate that the proposed solution reduces the energy consumption and the server load of the edge devices by using an FPGA implementation for fuzzy logic caching decision.","PeriodicalId":218683,"journal":{"name":"2018 6th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123802392","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 : 2018-08-01DOI: 10.1109/W-FiCloud.2018.00028
Sara Alromaihi, W. Elmedany, C. Balakrishna
As technology improves at an astounding rate, cities have to improve their services in terms of safety, healthcare, transportation, and the overall welfare of their residents. Internet of Things (IoT) play a major role in the infrastructure of a smart city by gathering and processing data from distributed sensors to implement smart services, such as traffic control, environment monitoring, and waste management. However, the most challenging part is securing data from various attacks while maintaining low-complexity techniques and algorithms. Considering security concerns to the deployment of IoT as the main source of data collection and transmission, attacks are classified to identify a suitable scheme of defending against them. This paper provides a two-fold contribution to analyze security and privacy in the context of smart cities for healthcare applications. Thus, on one hand an overview of different IoT applications and their cyber vulnerabilities are presented. On the other hand, a comprehensive evaluation of possible approaches to mitigate the problem of cyber attacks is described.
{"title":"Cyber Security Challenges of Deploying IoT in Smart Cities for Healthcare Applications","authors":"Sara Alromaihi, W. Elmedany, C. Balakrishna","doi":"10.1109/W-FiCloud.2018.00028","DOIUrl":"https://doi.org/10.1109/W-FiCloud.2018.00028","url":null,"abstract":"As technology improves at an astounding rate, cities have to improve their services in terms of safety, healthcare, transportation, and the overall welfare of their residents. Internet of Things (IoT) play a major role in the infrastructure of a smart city by gathering and processing data from distributed sensors to implement smart services, such as traffic control, environment monitoring, and waste management. However, the most challenging part is securing data from various attacks while maintaining low-complexity techniques and algorithms. Considering security concerns to the deployment of IoT as the main source of data collection and transmission, attacks are classified to identify a suitable scheme of defending against them. This paper provides a two-fold contribution to analyze security and privacy in the context of smart cities for healthcare applications. Thus, on one hand an overview of different IoT applications and their cyber vulnerabilities are presented. On the other hand, a comprehensive evaluation of possible approaches to mitigate the problem of cyber attacks is described.","PeriodicalId":218683,"journal":{"name":"2018 6th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114810972","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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