A Blockchain-Based Mutual Authentication Method to Secure the Electric Vehicles’ TPMS

Despite the widespread use of Radio Frequency Identification (RFID) and wireless connectivity such as Near Field Communication (NFC) in electric vehicles, their security and privacy implications in Ad-Hoc networks have not been well explored. This paper provides a data protection assessment of radio frequency electronic system in the Tire Pressure Monitoring System (TPMS). It is demonstrated that eavesdropping is completely feasible from a passing car, at an approximate distance up to 50 meters. Furthermore, our reverse analysis shows that the static n -bit signatures and messaging can be eavesdropped from a relatively far distance, raising privacy concerns as a vehicles' movements can be tracked by using the unique IDs of tire pressure sensors. Unfortunately, current protocols do not use authentication, and automobile technologies hardly follow routine message confirmation so sensor messages may be spoofed remotely. To improve the security of TPMS, we suggest a novel ultra-lightweight mutual authentication for the TPMS registry process in the automotive network. Our experimental results confirm the effectiveness and security of the proposed method in TPMS.©2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.fi=vertaisarvioitu|en=peerReviewed

A Survey on Wireless Sensor Network Security

Wireless sensor networks (WSNs) have recently attracted a lot of interest in the research community due their wide range of applications. Due to distributed nature of these networks and their deployment in remote areas, these networks are vulnerable to numerous security threats that can adversely affect their proper functioning. This problem is more critical if the network is deployed for some mission-critical applications such as in a tactical battlefield. Random failure of nodes is also very likely in real-life deployment scenarios. Due to resource constraints in the sensor nodes, traditional security mechanisms with large overhead of computation and communication are infeasible in WSNs. Security in sensor networks is, therefore, a particularly challenging task. This paper discusses the current state of the art in security mechanisms for WSNs. Various types of attacks are discussed and their countermeasures presented. A brief discussion on the future direction of research in WSN security is also included.Comment: 24 pages, 4 figures, 2 table

Policing Predictive Policing

Predictive policing is sweeping the nation, promising the holy grail of policing—preventing crime before it happens. The technology has far outpaced any legal or political accountability and has largely escaped academic scrutiny. This article examines predictive policing’s evolution with the goal of providing the first practical and theoretical critique of this new policing strategy. Building on insights from scholars who have addressed the rise of risk assessment throughout the criminal justice system, this article provides an analytical framework to police new predictive technologies

Economic drivers in security decisions in public Wi-Fi context

This thesis investigates economic drivers in security decisions in the context of public Wi-Fi. Four sets of studies took place. The first set examined the risks of public Wi-Fi today. An experimental rogue public Wi-Fi was set up for 150 hours first in London, UK, in 2016, and then in Nara, Japan, in 2017. Sensitive data such as emails and login credentials were found to have been transmitted insecurely. The second set of studies examined decision-making and drivers influencing users to use public Wi-Fi. Participants (106 - UK, 103 - Japan) took part in scenario-based questionnaires. Findings showed that the desire to save mobile data allowance, a form of resource preservation heuristic tendency (RPHT), significantly prompted participants who regularly face mobile data constraints to use public Wi-Fi. The next study examined evidence in the wild. Participants (71 - UK only) were recruited for three months to run My Wi-Fi Choices, an Android app developed to capture factors driving the decisions to use public Wi-Fi. The results emphasised the importance of RPHT in driving users to use public Wi-Fi. Therefore, advising an individual trapped in mobile data RPHT to stop using public Wi-Fi entirely is futile. Alternative security advice is needed. This led to the last set of studies examining user decision to adopt a Virtual Private Network (VPN) app which can help to mitigate public Wi-Fi risks. Discrete choice experiments were run with 243 participants (154 - UK, 94 - Japan) to examine attributes of a VPN app affecting user decision. Various attributes of a VPN app were identified as drivers for the download and installation and the actual use of the app. Combining the knowledge gained from all studies, this thesis proposes a RPHT-decision model explaining the effects of RPHT on security decisions