This paper proposes a low-cost solution for mapping and locating UHF-band RFID tags in a 3D space using reader-equipped smartphones. Our solution includes a mobile augmented reality application for data collection and information visualization, and a cloud-based application server for calculating locations of the reader-equipped smartphones and the read RFID tags. Our solution applies computer vision and motion sensing techniques to track 3D locations of the RFID reader based on the visual and inertial sensor data collected from the companion smartphones. Meanwhile, it obtains the exact locations of RFID tags by calculating their relative positions from the readers based on the Angle of Arrival (AoA) concept. Our solution can be implemented with any low-cost fixed transmit power RFID readers, since it only requires the readers to report identifiers of read RFID tags. Furthermore, our solution does not require machine-controlled uniform movement of RFID readers, as it can handle the bias in the readings collected from randomly scattered positions. We have evaluated our solution with experiments in real environments using a commercially-off-the-shelf RFID reader and an Android phone. Results show that the average error in the positions of RFID tags is around 25cm for each of orthogonal axes on the floor plane, with the orders of RFID tags correctly detected in most cases.
本文提出了一种低成本的解决方案，用于使用配备阅读器的智能手机在3D空间中绘制和定位uhf频段RFID标签。我们的解决方案包括一个用于数据收集和信息可视化的移动增强现实应用程序，以及一个用于计算配备阅读器的智能手机和读取RFID标签位置的基于云的应用程序服务器。我们的解决方案应用计算机视觉和运动感应技术，根据从配套智能手机收集的视觉和惯性传感器数据来跟踪RFID阅读器的3D位置。同时，基于到达角(Angle of Arrival, AoA)的概念，通过计算标签与阅读器的相对位置，得到RFID标签的准确位置。我们的解决方案可以与任何低成本的固定发射功率RFID阅读器一起实现，因为它只需要阅读器报告读取的RFID标签的标识符。此外，我们的解决方案不需要机器控制RFID读取器的均匀运动，因为它可以处理从随机分散位置收集的读数中的偏差。我们已经通过在真实环境中使用商用RFID阅读器和Android手机的实验来评估我们的解决方案。结果表明，在地板平面上，每个正交轴对RFID标签位置的平均误差在25cm左右，大多数情况下RFID标签的顺序是正确的。
{"title":"Low-Cost Mapping of RFID Tags Using Reader-Equipped Smartphones","authors":"Yuki Sato, Marius Noreikis, Yu Xiao","doi":"10.1109/MASS.2018.00052","DOIUrl":"https://doi.org/10.1109/MASS.2018.00052","url":null,"abstract":"This paper proposes a low-cost solution for mapping and locating UHF-band RFID tags in a 3D space using reader-equipped smartphones. Our solution includes a mobile augmented reality application for data collection and information visualization, and a cloud-based application server for calculating locations of the reader-equipped smartphones and the read RFID tags. Our solution applies computer vision and motion sensing techniques to track 3D locations of the RFID reader based on the visual and inertial sensor data collected from the companion smartphones. Meanwhile, it obtains the exact locations of RFID tags by calculating their relative positions from the readers based on the Angle of Arrival (AoA) concept. Our solution can be implemented with any low-cost fixed transmit power RFID readers, since it only requires the readers to report identifiers of read RFID tags. Furthermore, our solution does not require machine-controlled uniform movement of RFID readers, as it can handle the bias in the readings collected from randomly scattered positions. We have evaluated our solution with experiments in real environments using a commercially-off-the-shelf RFID reader and an Android phone. Results show that the average error in the positions of RFID tags is around 25cm for each of orthogonal axes on the floor plane, with the orders of RFID tags correctly detected in most cases.","PeriodicalId":146214,"journal":{"name":"2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121102662","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}
Edge computing has emerged as the key enabling technology that empowers the IoT with intelligence and efficiency. In this data enriched infrastructure, privacy-preserving data aggregation (PPDA) is one of the most critical services. However, the security and privacy-preserving requirements and online computational cost still present practical concerns in edge computing for resource-constraint edge terminals. To cope with this challenge, we present a lightweight privacy-preserving data aggregation scheme named LPDA-EC for edge computing system by employing the online/offline signature technique, Paillier homomorphic cryptosystem, and double trapdoor Chameleon hash function in this paper. The proposed LPDA-EC scheme can achieve data confidentiality and privacy-preserving, ensuring that the edge server and control center are agnostic of the user's private information during the whole aggregation process. Through detailed analysis, we demonstrate that our scheme is existentially unforgeable under chosen message attack (EU-CMA) and ensures data integrity with formal proofs under q-Strong Diffie-Hellman (q-SDH) assumptions. Numerical results indicate that the LPDA-EC scheme has less computational and communication overheads.
{"title":"LPDA-EC: A Lightweight Privacy-Preserving Data Aggregation Scheme for Edge Computing","authors":"Jiale Zhang, Yanchao Zhao, Jie Wu, Bing Chen","doi":"10.1109/MASS.2018.00024","DOIUrl":"https://doi.org/10.1109/MASS.2018.00024","url":null,"abstract":"Edge computing has emerged as the key enabling technology that empowers the IoT with intelligence and efficiency. In this data enriched infrastructure, privacy-preserving data aggregation (PPDA) is one of the most critical services. However, the security and privacy-preserving requirements and online computational cost still present practical concerns in edge computing for resource-constraint edge terminals. To cope with this challenge, we present a lightweight privacy-preserving data aggregation scheme named LPDA-EC for edge computing system by employing the online/offline signature technique, Paillier homomorphic cryptosystem, and double trapdoor Chameleon hash function in this paper. The proposed LPDA-EC scheme can achieve data confidentiality and privacy-preserving, ensuring that the edge server and control center are agnostic of the user's private information during the whole aggregation process. Through detailed analysis, we demonstrate that our scheme is existentially unforgeable under chosen message attack (EU-CMA) and ensures data integrity with formal proofs under q-Strong Diffie-Hellman (q-SDH) assumptions. Numerical results indicate that the LPDA-EC scheme has less computational and communication overheads.","PeriodicalId":146214,"journal":{"name":"2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130400930","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}
Dawood Sajjadi, Zehui Zheng, Rukhsana Ruby, Jianping Pan
Wi-Fi Mesh Networks (WMNs) as a popular platform can be used for the construction of dynamic backhaul networks especially over small cells, which is an indispensable part of the 5G technology. Finding the optimal single-path flow routing solution over the multi-hop backhaul networks is a classic NP-hard problem and there are non-trivial drawbacks such as packet re-ordering to implement multi-path routing as a practical solution. However, Software Defined Networking (SDN) as an emerging paradigm can provide a great opportunity to implement fast and efficient solutions for routing the network flows over WMNs. In this paper, we propose a randomized single-path flow routing that can be applied to SDN-aware WMNs. The randomized nature of our introduced solution avoids the complexities of implementing a multi-path flow routing and it presents a viable routing scheme that guarantees certain performance bounds. In addition, it considers the key characteristics of wireless networks and it can be employed for multi-channel multi-radio WMNs. Through numerical results, we have shown that our solution follows the theoretical, tighter and more general performance bounds. Moreover, in contrast to most of the prior studies, the performance of the proposed solution is not only evaluated through a real testbed (in terms of the aggregated throughput and protocol overhead) but also compared with some of the most popular WMN routing protocols.
{"title":"Randomized Single-Path Flow Routing on SDN-Aware Wi-Fi Mesh Networks","authors":"Dawood Sajjadi, Zehui Zheng, Rukhsana Ruby, Jianping Pan","doi":"10.1109/MASS.2018.00039","DOIUrl":"https://doi.org/10.1109/MASS.2018.00039","url":null,"abstract":"Wi-Fi Mesh Networks (WMNs) as a popular platform can be used for the construction of dynamic backhaul networks especially over small cells, which is an indispensable part of the 5G technology. Finding the optimal single-path flow routing solution over the multi-hop backhaul networks is a classic NP-hard problem and there are non-trivial drawbacks such as packet re-ordering to implement multi-path routing as a practical solution. However, Software Defined Networking (SDN) as an emerging paradigm can provide a great opportunity to implement fast and efficient solutions for routing the network flows over WMNs. In this paper, we propose a randomized single-path flow routing that can be applied to SDN-aware WMNs. The randomized nature of our introduced solution avoids the complexities of implementing a multi-path flow routing and it presents a viable routing scheme that guarantees certain performance bounds. In addition, it considers the key characteristics of wireless networks and it can be employed for multi-channel multi-radio WMNs. Through numerical results, we have shown that our solution follows the theoretical, tighter and more general performance bounds. Moreover, in contrast to most of the prior studies, the performance of the proposed solution is not only evaluated through a real testbed (in terms of the aggregated throughput and protocol overhead) but also compared with some of the most popular WMN routing protocols.","PeriodicalId":146214,"journal":{"name":"2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122683462","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}
Björn Gernert, Fabian Schwartau, Sebastian Raabe, J. Schoebel, Karsten Schubert, S. Rottmann, L. Wolf
During recent years, automation and optimized production processes within a variety of different agriculture sectors allowed farmers to achieve higher harvesting rates and therefore to maximize the outcome of their efforts. Besides harvesting, storing the crop is the next challenging step in improving agricultural practices. Monitoring and adjusting the environmental conditions in storage are important tasks to achieve an optimal and efficient storability. This paper focuses on the communication part of such a monitoring system. Modern warehouses are usually organized as box storage, which means that the crop to be stored is filled into boxes and then piled up in large warehouses. Selective ventilation and air conditioning ensure a maximum storage period. This paper examines which radio frequencies are suitable for transmitting sensor data from stored boxes to a sink. The obtained sensor data could be used, for example, to control the air conditioning of the warehouse more precisely. The investigations are carried out on potatoes as an example, for which first a simulation and then a prototypical sensor node is created.
{"title":"Evaluation of Suitable Radio Frequencies for Data Transmission in Potato Warehouses","authors":"Björn Gernert, Fabian Schwartau, Sebastian Raabe, J. Schoebel, Karsten Schubert, S. Rottmann, L. Wolf","doi":"10.1109/MASS.2018.00043","DOIUrl":"https://doi.org/10.1109/MASS.2018.00043","url":null,"abstract":"During recent years, automation and optimized production processes within a variety of different agriculture sectors allowed farmers to achieve higher harvesting rates and therefore to maximize the outcome of their efforts. Besides harvesting, storing the crop is the next challenging step in improving agricultural practices. Monitoring and adjusting the environmental conditions in storage are important tasks to achieve an optimal and efficient storability. This paper focuses on the communication part of such a monitoring system. Modern warehouses are usually organized as box storage, which means that the crop to be stored is filled into boxes and then piled up in large warehouses. Selective ventilation and air conditioning ensure a maximum storage period. This paper examines which radio frequencies are suitable for transmitting sensor data from stored boxes to a sink. The obtained sensor data could be used, for example, to control the air conditioning of the warehouse more precisely. The investigations are carried out on potatoes as an example, for which first a simulation and then a prototypical sensor node is created.","PeriodicalId":146214,"journal":{"name":"2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128727293","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}
Big data annotation plays an important role in Artificial Intelligence model training. The proliferation of data annotation tasks has brought the issue of security of the big data delivery. This work identifies the security framework associated with encryption and compression procedures that support data delivery safety. In this paper, we propose an agile framework that caters to various types of data under RESTful web services. All the procedures are automatically operated by the server without human intervention. This work assists the company delivers the tagged data products to users with a high-security level avoiding the risk of information disclosure.
{"title":"A Framework to Data Delivery Security for Big Data Annotation Delivery System","authors":"Yanhong Yang, Hongling He, Daliang Wang, Zhongxiang Ding","doi":"10.1109/MASS.2018.00082","DOIUrl":"https://doi.org/10.1109/MASS.2018.00082","url":null,"abstract":"Big data annotation plays an important role in Artificial Intelligence model training. The proliferation of data annotation tasks has brought the issue of security of the big data delivery. This work identifies the security framework associated with encryption and compression procedures that support data delivery safety. In this paper, we propose an agile framework that caters to various types of data under RESTful web services. All the procedures are automatically operated by the server without human intervention. This work assists the company delivers the tagged data products to users with a high-security level avoiding the risk of information disclosure.","PeriodicalId":146214,"journal":{"name":"2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122160433","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}
Received Signal Strength (RSS) is considered to be a promising measurement for indoor positioning. Many RSS range-based localization methods have been proposed due to the convenience and low cost of RSS measurements. However, a fundamental problem has not been answered, that is, how accurate are these methods? We think a key reason leading to this situation is the inappropriate assumption on RSS range models and measurement errors, which results in oversimplified analysis on those methods. In this paper, we use a more general range model and recognize the Generalized Least Square (GLS) method as an optimal estimator whose estimation error equals to the Cramer-Rao lower bound (CRLB). Through mathematical, techniques, we derive the analytic expression of the localization error for the GLS method, which reveals the key factors that affect the localization accuracy. Further studies on the minimal localization error disclose the proportional relationship between the localization accuracy and the above key factors.
{"title":"Error Analysis on RSS Range-Based Localization Based on General Log-Distance Path Loss Model","authors":"Wei Li, Zimu Yuan, Shuhui Yang, Wei Zhao","doi":"10.1109/MASS.2018.00071","DOIUrl":"https://doi.org/10.1109/MASS.2018.00071","url":null,"abstract":"Received Signal Strength (RSS) is considered to be a promising measurement for indoor positioning. Many RSS range-based localization methods have been proposed due to the convenience and low cost of RSS measurements. However, a fundamental problem has not been answered, that is, how accurate are these methods? We think a key reason leading to this situation is the inappropriate assumption on RSS range models and measurement errors, which results in oversimplified analysis on those methods. In this paper, we use a more general range model and recognize the Generalized Least Square (GLS) method as an optimal estimator whose estimation error equals to the Cramer-Rao lower bound (CRLB). Through mathematical, techniques, we derive the analytic expression of the localization error for the GLS method, which reveals the key factors that affect the localization accuracy. Further studies on the minimal localization error disclose the proportional relationship between the localization accuracy and the above key factors.","PeriodicalId":146214,"journal":{"name":"2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116043992","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}
In the process of silkworm breeding, if the healthy pupae number can be predicted by using silkworm's characteristics indicators, it will provide important reference value and guidance for the subsequent breeding and characteristics improvement. In this paper, the statistical analysis of silkworm characteristics data in the past 25 years is carried out, and the linear regression model and model establishment process for predicting the healthy pupae number with common characteristics and health indicators as independent variables are given. The significance test of F test and t test and the correlation analysis of between dependent variable and independent variables showed that there is a significant linear regression relationship between the predicted value of the healthy pupae number and the indicators of trait and health. The established linear regression model predicts the healthy pupae number. The prediction error is within 2%, which is in line with the actual breeding requirements. The results are accurate. The linear regression model has certain practicability.
{"title":"A Method of Linear Regression Model Building for Healthy Pupae Number Based on Common Characters Indicators","authors":"Q. Pu, T. Tao, Dagang Gong, Yuerong Xian, Hong Du","doi":"10.1109/MASS.2018.00076","DOIUrl":"https://doi.org/10.1109/MASS.2018.00076","url":null,"abstract":"In the process of silkworm breeding, if the healthy pupae number can be predicted by using silkworm's characteristics indicators, it will provide important reference value and guidance for the subsequent breeding and characteristics improvement. In this paper, the statistical analysis of silkworm characteristics data in the past 25 years is carried out, and the linear regression model and model establishment process for predicting the healthy pupae number with common characteristics and health indicators as independent variables are given. The significance test of F test and t test and the correlation analysis of between dependent variable and independent variables showed that there is a significant linear regression relationship between the predicted value of the healthy pupae number and the indicators of trait and health. The established linear regression model predicts the healthy pupae number. The prediction error is within 2%, which is in line with the actual breeding requirements. The results are accurate. The linear regression model has certain practicability.","PeriodicalId":146214,"journal":{"name":"2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)","volume":"664 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123979616","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}
Anomaly detection is a concerned field in recent years, which plays an important role in improving network performance, finding network anomalies in time and ensuring network security. Traditional anomaly detection algorithms are based on whether the traffic features exceed a given threshold to determine the anomaly, which have low accuracy. And recently, lots of works which are based on statistical model or machine learning can't deal with the impact of outliers on the subsequent fitting, so the results are not perfect enough. In this paper, a new iterative anomaly detection algorithm based on time series analysis is proposed. The algorithm detects anomalies by automatically fitting the best ARMA model iteratively, and detects the first anomaly point in each iteration. This method can produce more precise results, and has the features of high accuracy and low misjudgment rate.
{"title":"Iterative Anomaly Detection Algorithm Based on Time Series Analysis","authors":"Jingxiang Qi, Yanjie Chu, Liang He","doi":"10.1109/MASS.2018.00085","DOIUrl":"https://doi.org/10.1109/MASS.2018.00085","url":null,"abstract":"Anomaly detection is a concerned field in recent years, which plays an important role in improving network performance, finding network anomalies in time and ensuring network security. Traditional anomaly detection algorithms are based on whether the traffic features exceed a given threshold to determine the anomaly, which have low accuracy. And recently, lots of works which are based on statistical model or machine learning can't deal with the impact of outliers on the subsequent fitting, so the results are not perfect enough. In this paper, a new iterative anomaly detection algorithm based on time series analysis is proposed. The algorithm detects anomalies by automatically fitting the best ARMA model iteratively, and detects the first anomaly point in each iteration. This method can produce more precise results, and has the features of high accuracy and low misjudgment rate.","PeriodicalId":146214,"journal":{"name":"2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131416443","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}
Shaopeng Liang, Ziqing Wang, Wenwen Chen, Yehan Ren, Qitian Wang
In this paper, we propose an all-weather, multi-angle, dynamic face recognition algorithm for home security. Combined with the gesture recognition algorithm, it is able to effectively react to the intrusion behavior and ensure the security of the user’s property. When the family members’ lives are threatened, they can promptly send out a distress signal to the police to protect the life of the user. At the same time, it will record the criminal course of the intruder, provide convenience for the police to follow up the case, and effectively improve the detection rate of cases such as burglary and robbery. It is of great significance to promote social harmony and stability.
{"title":"Physical Intrusion Detection System Based on Behavioral Sign Recognition","authors":"Shaopeng Liang, Ziqing Wang, Wenwen Chen, Yehan Ren, Qitian Wang","doi":"10.1109/MASS.2018.00078","DOIUrl":"https://doi.org/10.1109/MASS.2018.00078","url":null,"abstract":"In this paper, we propose an all-weather, multi-angle, dynamic face recognition algorithm for home security. Combined with the gesture recognition algorithm, it is able to effectively react to the intrusion behavior and ensure the security of the user’s property. When the family members’ lives are threatened, they can promptly send out a distress signal to the police to protect the life of the user. At the same time, it will record the criminal course of the intruder, provide convenience for the police to follow up the case, and effectively improve the detection rate of cases such as burglary and robbery. It is of great significance to promote social harmony and stability.","PeriodicalId":146214,"journal":{"name":"2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)","volume":" 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132075696","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}
Anuj Dimri, Harsimran Singh, Shamik Sarkar, S. Kasera, Neal Patwari, Aditya Bhaskara, K. Derr, Samuel Ramirez
Many networked users through their devices are interested in participating in distributed sensing and data collection for the purpose of betterment of human society or for earning rewards. Preservation of their location privacy is an important requirement for users participating and contributing to the data collection. We develop a novel privacy preserving approach for collecting noise-free data from vehicular users. Collection of noise-free, "pure" data, enhances its utility in the applications that use it. Location privacy must be preserved from the entity that we call a central controller, that collects all the vehicular data, and is assumed to be adversarial. We collect the data in a noise-free form by introducing temporal and spatial variations using Random Delays and Indirections. We run simulations using network and vehicle simulators driven by a real-world traffic scenario from the city of Luxembourg to evaluate our approach. Our simulation results show that the adversary cannot localize the uploaders within the thresholds of the number of streets and the length of the region of interest chosen by them.
{"title":"Privacy Enabled Noise Free Data Collection in Vehicular Networks","authors":"Anuj Dimri, Harsimran Singh, Shamik Sarkar, S. Kasera, Neal Patwari, Aditya Bhaskara, K. Derr, Samuel Ramirez","doi":"10.1109/MASS.2018.00013","DOIUrl":"https://doi.org/10.1109/MASS.2018.00013","url":null,"abstract":"Many networked users through their devices are interested in participating in distributed sensing and data collection for the purpose of betterment of human society or for earning rewards. Preservation of their location privacy is an important requirement for users participating and contributing to the data collection. We develop a novel privacy preserving approach for collecting noise-free data from vehicular users. Collection of noise-free, \"pure\" data, enhances its utility in the applications that use it. Location privacy must be preserved from the entity that we call a central controller, that collects all the vehicular data, and is assumed to be adversarial. We collect the data in a noise-free form by introducing temporal and spatial variations using Random Delays and Indirections. We run simulations using network and vehicle simulators driven by a real-world traffic scenario from the city of Luxembourg to evaluate our approach. Our simulation results show that the adversary cannot localize the uploaders within the thresholds of the number of streets and the length of the region of interest chosen by them.","PeriodicalId":146214,"journal":{"name":"2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133010907","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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