Insight of the protection for data security under selective opening attacks

Huang, Zhengan; Liu, Shengli; Mao, Xianping; Chen, Kefei; Li, Jin

doi:10.1016/j.ins.2017.05.031

Cited by 145 publications

(42 citation statements)

References 7 publications

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“…The fundamental concept of privacy preservation schemes in VANET is to periodically change the pseudonyms. There exists many schemes that have been proposed by researchers in which the concept of changing pseudonym is used to preserve the privacy of user [28][29][30][31][32][33][34][35][36]. Data owners often suppress their data for an untrusted trainer to train a classifier due to privacy concerns.…”

Section: Vanet Security Requirementsmentioning

confidence: 99%

Lightweight Cryptographic Techniques for Automotive Cybersecurity

Jadoon

Wang

et al. 2018

Wireless Communications and Mobile Computing

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A new integration of wireless communication technologies into the automobile industry has instigated a momentous research interest in the field of Vehicular Ad Hoc Network (VANET) security. Intelligent Transportation Systems (ITS) are set up, aiming to offer promising applications for efficient and safe communication for future automotive technology. Vehicular networks are unique in terms of characteristics, challenges, architecture, and applications. Consequently, security requirements related to vehicular networks are more complex as compared to mobile networks and conventional wireless networks. This article presents a survey about developments in vehicular networks from the perspective of lightweight cryptographic protocols and privacy preserving algorithms. Unique characteristics of vehicular networks are presented which make the embedded security applications computationally hard as well as memory constrained. The current study also deals with the fundamental security requirements, essential for vehicular communication. Furthermore, awareness of security threats and their cryptographic solutions in terms of future automotive industry are discussed. In addition, asymmetric, symmetric, and lightweight cryptographic solutions are summarized. These strategies can be enhanced or incorporated all in all to meet the security perquisites of future cars security.

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Section: Vanet Security Requirementsmentioning

confidence: 99%

Lightweight Cryptographic Techniques for Automotive Cybersecurity

Jadoon

Wang

et al. 2018

Wireless Communications and Mobile Computing

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“…We turn to consider the performance of the second step in (15), given that is selected. The scenarios of successful secrecy transmission can be divided into two cases as follows.…”

Section: Exact Expression On Secrecy Outagementioning

confidence: 99%

“…Due to the broadcast nature of wireless transmission, it is of vital importance to guarantee the transmission security from the application layer [15][16][17][18][19] to physical layer [20,21]. The authors in [22] provided the framework of wiretap channels, which gives a general way to analyze and design the secure physical-layer security.…”

Section: Introductionmentioning

confidence: 99%

Impact of Antenna Selection on Physical‐Layer Security of NOMA Networks

Deng

Fan

et al. 2018

Wireless Communications and Mobile Computing

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This paper studies the impacts of antenna selection algorithms in decode-and-forward (DF) cooperative nonorthogonal multiple access (NOMA) networks, where the secure information from the relay can be overheard by an eavesdropper in the networks. In order to ensure the secure transmission, an optimal antenna selection algorithm is proposed to choose one best relay's antenna to assist the secure transmission. We study the impact of antenna selection on the system secure communication through deriving the analytical expression of the secrecy outage probability along with the asymptotic expression in the high regime of signal-tonoise ratio (SNR) and main-to-eavesdropper ratio (MER). From the analytical and asymptotic expressions, we find that the system secure performance is highly dependent on the system parameters such as the number of antennas at the relay, SNR, and MER. In particular, the secrecy diversity order of the system is equal to the antenna number, when the interference from the second user is limited.

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“…Using information gained from the IoT could make the environment around us be better cognized [4]. On the other hand, the IoT consists of devices that generate, process, and exchange vast amounts of critical security and safety data as well as privacy-sensitive information and hence are appealing targets for cyberattacks [5][6][7][8]. The task of affordably supporting security and privacy is quite challenging because many new networkable devices, which constitute the IoT, require less energy, are lightweight and have less memory [9].…”

Section: Introductionmentioning

confidence: 99%

Blockchain Based Credibility Verification Method for IoT Entities

Tao

Zhang

et al. 2018

Security and Communication Networks

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With the fast development of mobile Internet, Internet of Things (IoT) has been found in many important applications recently. However, it still faces many challenges in security and privacy. Blockchain (BC) technology, which underpins the cryptocurrency Bitcoin, has played an important role in the development of decentralized and data intensive applications running on millions of devices. In this paper, to establish the relationship between IoT and BC for device credibility verification, we propose a framework with layers, intersect, and self-organization Blockchain Structures (BCS). In this new framework, each BCS is organized by Blockchain technology. We describe the credibility verification method and show how it provide the verification. The efficiency and security analysis are also given in this paper, including its response time, storage efficiency, and verification. The conducted experiments have been shown to demonstrate the validity of the proposed method in satisfying the credible requirement achieved by Blockchain technology and certain advantages in storage space and response time.

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Insight of the protection for data security under selective opening attacks

Cited by 145 publications

References 7 publications

Lightweight Cryptographic Techniques for Automotive Cybersecurity

Lightweight Cryptographic Techniques for Automotive Cybersecurity

Impact of Antenna Selection on Physical‐Layer Security of NOMA Networks

Blockchain Based Credibility Verification Method for IoT Entities

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