Transmission Range Changing Effects on Location Privacy-Preserving Schemes in the Internet of Vehicles

Author(s):  
Messaoud Babaghayou ◽  
Nabila Labraoui ◽  
Ado Adamou Abba Ari ◽  
Abdelhak Mourad Gueroui

The internet of vehicles (IoV) is getting a considerable amount of attention from different research parties. IoV aims at enhancing the driving experience with its wide range of applications varying from safety, road management to entertainment; however, some of such applications bring severe security and privacy issues; identity exposing, and location tracking are good examples. By enabling vehicles to send their statuses to themselves via beacon messages, this creates an environmental awareness for safety purposes but also exposes them to the aforementioned attacks. A lot of work has been done to mitigate the effect of such attacks but still does not provide a holistic solution. In this article, which is an extension to a prior work, the authors investigate the effects of changing the transmission range while sending beacons on the achieved level of location privacy based on two location privacy schemes: SLOW and CAPS. The authors use additional privacy metrics in addition to comparing the strategies in some well-known security attacks. The outcomes confirm the feasibility of using such a mechanism.

Author(s):  
Eralda Caushaj ◽  
Huirong Fu ◽  
Ishwar Sethi ◽  
Haissam Badih ◽  
Dion Watson ◽  
...  

The importance of wireless cellular communication in our daily lives has grown considerably in the last decade. The smartphones are widely used nowadays, besides voice communication; the authors routinely use them to access the internet, conduct monetary transactions, send text messages and query a lot of useful information regarding the location of specific places of interest. The use of smartphones in their day-to-day communication raises many unresolved security and privacy issues. In this paper they identify relevant security attacks in Wireless Cellular Network. The authors conduct experiments in four different platforms such as Iphone, Android, Windows and Blackberry. The packets captured through Wireshark for approximately 24 minutes, giving them a lot of information regarding security and privacy issues involving the users. A lot of useful apps installed and used by the end-users have serious issues in terms of privacy and the information exposed. Which is the better platform comparing all four and what exactly do they expose from the user’s information? What are the threats and countermeasures that the users should be aware of? The aim of the authors’ paper is to give answers to the above questions based on the data captured by conducting real-life scenarios.


Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2443
Author(s):  
Messaoud Babaghayou ◽  
Nabila Labraoui ◽  
Ado Adamou Abba Ari ◽  
Mohamed Amine Ferrag ◽  
Leandros Maglaras ◽  
...  

Internet of Vehicles (IoV) has the potential to enhance road-safety with environment sensing features provided by embedded devices and sensors. This benignant feature also raises privacy issues as vehicles announce their fine-grained whereabouts mainly for safety requirements, adversaries can leverage this to track and identify users. Various privacy-preserving schemes have been designed and evaluated, for example, mix-zone, encryption, group forming, and silent-period-based techniques. However, they all suffer inherent limitations. In this paper, we review these limitations and propose WHISPER, a safety-aware location privacy-preserving scheme that adjusts the transmission range of vehicles in order to prevent continuous location monitoring. We detail the set of protocols used by WHISPER, then we compare it against other privacy-preserving schemes. The results show that WHISPER outperformed the other schemes by providing better location privacy levels while still fulfilling road-safety requirements.


Author(s):  
Martin Victor K ◽  
J. Immanuel Johnraja ◽  
Getzi Jeba Leelipushpam ◽  
J. Jebaveerasingh Jebadurai ◽  
I. Bildass Santhosam

Author(s):  
Muawya N. Al Dalaien ◽  
Ameur Bensefia ◽  
Salam A. Hoshang ◽  
Abdul Rahman A. Bathaqili

In recent years the Internet of Things (IoT) has rapidly become a revolutionary technological invention causing significant changes to the way both corporate computing systems, and even household gadgets and appliances, are designed and manufactured. The aim of this chapter is to highlight the security and privacy issues that may affect the evolution of IoT technology. The privacy issues are discussed from customer perspectives: first, the IoT privacy concern where the privacy debates on IoT and the IoT privacy that reflected from users' perspective based on the examination of previous researches results. In addition, the different architectures for IoT are discussed. Finally, the chapter discusses the IoT security concern by collecting, analyzing and presenting the major IoT security concerns in the literature as well as providing some potential solutions to these concerns.


Author(s):  
Xichen Zhang ◽  
Ali A. Ghorbani

Over recent years, the extensive development of information technology has dramatically advanced the way that people use the internet. The fast growth of the internet of things and mobile crowdsensing applications raise challenging security and privacy issues for the society. More often than before, malicious attackers exploit human vulnerability as the weakest link to launch cyberattacks and conduct fraudulent online activities. How to profile users' daily behavior becomes an essential component for identifying users' vulnerable/malicious level and predicting the potential cyber threats. In this chapter, the authors discuss human factors and their related issues in cyber security and privacy. Three categories of human behaviors—desktop behavior, mobile behavior, and online behavior—and their corresponding security and privacy issues are demonstrated in detail to estimate the vulnerabilities of internet users. Some future directions related to human-factor based security and privacy issues are proposed at the end of this chapter.


2019 ◽  
Vol 6 (1) ◽  
pp. 15-30 ◽  
Author(s):  
Yasmine Labiod ◽  
Abdelaziz Amara Korba ◽  
Nacira Ghoualmi-Zine

In the recent years, the Internet of Things (IoT) has been widely deployed in different daily life aspects such as home automation, electronic health, the electric grid, etc. Nevertheless, the IoT paradigm raises major security and privacy issues. To secure the IoT devices, many research works have been conducted to counter those issues and discover a better way to remove those risks, or at least reduce their effects on the user's privacy and security requirements. This article mainly focuses on a critical review of the recent authentication techniques for IoT devices. First, this research presents a taxonomy of the current cryptography-based authentication schemes for IoT. In addition, this is followed by a discussion of the limitations, advantages, objectives, and attacks supported of current cryptography-based authentication schemes. Finally, the authors make in-depth study on the most relevant authentication schemes for IoT in the context of users, devices, and architecture that are needed to secure IoT environments and that are needed for improving IoT security and items to be addressed in the future.


2012 ◽  
Vol 430-432 ◽  
pp. 1755-1758
Author(s):  
Chun Chang Fu ◽  
Wei Lin He

Radio frequency identification technology is an automatic identification technology started in the 1990s. With the RFID technology in a wide range of applications in different areas, it offers the security and privacy threats and caused a great deal of attention. At present, system security and privacy issues have become one of the main factors restricted the wide application of radio frequency identification technology. Aimed at the problem, this article discussed the safety of the privacy issues.


Sensors ◽  
2019 ◽  
Vol 19 (1) ◽  
pp. 152 ◽  
Author(s):  
Kai Fan ◽  
Junbin Kang ◽  
Shanshan Zhu ◽  
Hui Li ◽  
Yintang Yang

Radio frequency identification (RFID) is a kind of non-contact automatic identification technology. The Internet of Vehicles (IoV) is a derivative of the Internet of Things (IoT), and RFID technology has become one of the key technologies of IoV. Due to the open wireless communication environment in RFID system, the RFID system is easy to be exposed to various malicious attacks, which may result in privacy disclosure. The provision of privacy protection for users is a prerequisite for the wide acceptance of the IoV. In this paper, we discuss the privacy problem of the RFID system in the IoV and present a lightweight RFID authentication scheme based on permutation matrix encryption, which can resist some typical attacks and ensure the user’s personal privacy and location privacy. The fast certification speed of the scheme and the low cost of the tag is in line with the high-speed certification requirement in the Internet of vehicles. In this thesis, the specific application scenarios of the proposed RFID authentication scheme in the IoV is also discussed.


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