A survey on security and privacy issues in IoV

As an up-and-coming branch of the internet of things, internet of vehicles (IoV) is imagined to fill in as a fundamental information detecting and processing platform for astute transportation frameworks. Today, vehicles are progressively being associated with the internet of things which empower them to give pervasive access to data to drivers and travelers while moving. Be that as it may, as the quantity of associated vehicles continues expanding, new prerequisites, (for example, consistent, secure, vigorous, versatile data trade among vehicles, people, and side of the road frameworks) of vehicular systems are developing. Right now, the unique idea of vehicular specially appointed systems is being changed into another idea called the internet of vehicles (IoV). We talk about the issues faced in implementing a secure IoV architecture. We examine the various challenges in implementing security and privacy in IoV by reviewing past papers along with pointing out research gaps and possible future work and putting forth our on inferences relating to each paper

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 body area networks: architecture, security challenges and research opportunities.

In the era of communication technologies, wireless healthcare networks enable innovative applications to enhance the quality of patients’ lives, provide useful monitoring tools for caregivers, and allows timely intervention. However, due to the sensitive information within the Wireless Body Area Networks (WBANs), insecure data violates the patients’ privacy and may consequently lead to improper medical diagnosis and/or treatment. Achieving a high level of security and privacy in WBAN involves various challenges due to its resource limitations and critical applications. In this paper, a comprehensive survey of the WBAN technology is provided, with a particular focus on the security and privacy concerns along with their countermeasures, followed by proposed research directions and open issues

Security in hybrid ITS networks

Dissertação para obtenção do Grau de Mestre em Engenharia Informática e de ComputadoresSistemas de Transportes Inteligentes e Cooperativos (C-ITS) visam melhorar a segurança e a sustentabilidade dos transportes. No entanto, a comunicação dos sistemas Vehicleto-Everything é inerentemente aberta, levando a vulnerabilidades que atacantes podem explorar. Isto é uma ameaça a todos os utilizadores rodoviários, pois falhas de segurança podem levar a violações de privacidade ou a fatalidades. Além disso, elevadas taxas de mortalidade estão correlacionadas com utilizadores de mobilidade suave. Logo, no desenvolvimento de sistemas C-ITS, é crucial considerar, além dos veículos conectados, os utilizadores de mobilidade suave e os veículos sem a devida tecnologia. Este estudo apresenta uma nova abordagem desenvolvida no contexto emergente das redes híbridas, combinando tecnologias ITS-G5 e celulares. Dois protocolos, MFSPV e DLAPP, foram implementados e avaliados para introduzir garantias de segurança (como privacidade e integridade) nas comunicações dentro do ambiente híbrido C-ITS desenvolvido. Assim, este trabalho integra, com segurança, estações ITS conectadas por G5 e utilizadores de mobilidade suave, através de uma aplicação móvel via redes celulares. Para tal, utilizou-se equipamentos reais, incluindo on-board e roadside units. Tempos computacionais, de latência e de ponta-a-ponta (E2E) foram usados para avaliar o desempenho do sistema. O protocolo MFSPV supera o DLAPP em eficiência computacional, mas o DLAPP atinge uma latência de rede ligeiramente menor. No entanto, ambos introduzem apenas um atraso adicional de 11% nas comunicações híbridas E2E. A comunicação híbrida impõe, em média, 28.29ms extra de tempo E2E. A proposta mostra-se promissora, visto que atinge tempos de E2E abaixo dos requisitos de latência impostos na maioria dos casos de utilização do C-ITS.Cooperative Intelligent Transport Systems (C-ITS) continue to be developed to enhance transportation safety and sustainability. However, the communication of Vehicle-to-Everything systems is inherently open, leading to vulnerabilities that attackers can exploit.This represents a threat to all road users, as security failures can lead to privacy violations or even fatalities. Moreover, a high fatality rate is correlated with softmobility road users. So, in the development of C-ITS systems, it is crucial to broaden the perspective beyond connected vehicles to soft-mobility users and legacy vehicles. This study presents a novel approach developed in the context of emerging hybrid networks, combining ITS-G5 and cellular technologies. Two protocols, MFSPV and DLAPP, were implemented and evaluated to introduce security guarantees (such as privacy and integrity) in communications within the developed C-ITS hybrid environment. As a result, this work securely integrates G5-connected ITS stations and softmobility users through a smartphone application via cellular networks. Real equipment was utilised for this goal, including on-board and roadside units. Computational, latency and end-to-end times were used to assess the system performance.MFSPV outperforms DLAPP in computational efficiency, but DLAPP achieves a slightly lower network latency. Nevertheless, both only introduce an additional 11% delay in hybrid end-to-end communications. Hybrid communication imposes, on average, an extra 28.29ms of end-to-end time. The proposal shows promise as it reaches end-to-end times below the latency requirements imposed in most C-ITS use cases.N/

A Survey on Layer-Wise Security Attacks in IoT: Attacks, Countermeasures, and Open-Issues

© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).Security is a mandatory issue in any network, where sensitive data are transferred safely in the required direction. Wireless sensor networks (WSNs) are the networks formed in hostile areas for different applications. Whatever the application, the WSNs must gather a large amount of sensitive data and send them to an authorized body, generally a sink. WSN has integrated with Internet-of-Things (IoT) via internet access in sensor nodes along with internet-connected devices. The data gathered with IoT are enormous, which are eventually collected by WSN over the Internet. Due to several resource constraints, it is challenging to design a secure sensor network, and for a secure IoT it is essential to have a secure WSN. Most of the traditional security techniques do not work well for WSN. The merger of IoT and WSN has opened new challenges in designing a secure network. In this paper, we have discussed the challenges of creating a secure WSN. This research reviews the layer-wise security protocols for WSN and IoT in the literature. There are several issues and challenges for a secure WSN and IoT, which we have addressed in this research. This research pinpoints the new research opportunities in the security issues of both WSN and IoT. This survey climaxes in abstruse psychoanalysis of the network layer attacks. Finally, various attacks on the network using Cooja, a simulator of ContikiOS, are simulated.Peer reviewe

Big data analytics for large-scale wireless networks: Challenges and opportunities

© 2019 Association for Computing Machinery. The wide proliferation of various wireless communication systems and wireless devices has led to the arrival of big data era in large-scale wireless networks. Big data of large-scale wireless networks has the key features of wide variety, high volume, real-time velocity, and huge value leading to the unique research challenges that are different from existing computing systems. In this article, we present a survey of the state-of-art big data analytics (BDA) approaches for large-scale wireless networks. In particular, we categorize the life cycle of BDA into four consecutive stages: Data Acquisition, Data Preprocessing, Data Storage, and Data Analytics. We then present a detailed survey of the technical solutions to the challenges in BDA for large-scale wireless networks according to each stage in the life cycle of BDA. Moreover, we discuss the open research issues and outline the future directions in this promising area

An effective communication and computation model based on a hybridgraph-deeplearning approach for SIoT.

Social Edge Service (SES) is an emerging mechanism in the Social Internet of Things (SIoT) orchestration for effective user-centric reliable communication and computation. The services are affected by active and/or passive attacks such as replay attacks, message tampering because of sharing the same spectrum, as well as inadequate trust measurement methods among intelligent devices (roadside units, mobile edge devices, servers) during computing and content-sharing. These issues lead to computation and communication overhead of servers and computation nodes. To address this issue, we propose the HybridgrAph-Deep-learning (HAD) approach in two stages for secure communication and computation. First, the Adaptive Trust Weight (ATW) model with relation-based feedback fusion analysis to estimate the fitness-priority of every node based on directed graph theory to detect malicious nodes and reduce computation and communication overhead. Second, a Quotient User-centric Coeval-Learning (QUCL) mechanism to formulate secure channel selection, and Nash equilibrium method for optimizing the communication to share data over edge devices. The simulation results confirm that our proposed approach has achieved effective communication and computation performance, and enhanced Social Edge Services (SES) reliability than state-of-the-art approaches