Chaos‐based privacy preserving vehicle safety protocol for 5G Connected Autonomous Vehicle networks

Ansari, Shuja; Ahmad, Jawad; Shah, Syed Aziz; Boutaleb, Tuleen; Sinanović, Sinan

doi:10.1002/ett.3966

Cited by 31 publications

(25 citation statements)

References 29 publications

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“…property of the standard block ciphers like the AES. The strength of this algorithm depends on the planning of cryptographically sturdy S-Box [10,11].…”

Section: Rfidmentioning

confidence: 99%

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Improvement of Radio Frequency Identification Security Using New Hybrid Advanced Encryption Standard Substitution Box by Chaotic Maps

et al. 2020

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Radio Frequency Identification (RFID) technology is widely utilized by businesses, organizations and wireless communication systems. RFID technology is secured using different ways of data encryption, e.g., Advanced Encryption Standard (AES). The Substitution Box (S-Box) is the core of AES. In this paper, a new algorithm is proposed to generate a modified S-Box with new keys, specifically a key and plaintext-dependent S-Box using an improved RC4 encryption algorithm with Logistic Chaotic Maps (LCM). The strength of the proposed S-Box is tested throughout the paper, and compared against the state-of-the-art S-Box implementations, namely, the static S-Box, dynamic S-box, KSA and PRGA S-Box, and RC4 S-Boxes with Henon chaotic maps. The comparison between the state-of-the-art S-Boxes and the proposed S-Box demonstrates that the use of the Logistic Chaotic Map increases the security of the S-Box and makes the differential and linear cryptography more sturdy. In particular, using the strict avalanche test, we demonstrate that the proposed S-Box improves the security by achieving a cipher text bit-flip ratio of 0.4765, which is closer to 0.5 (where half the bits are flipped), while maintaining a minimum elapsed time of 19 milliseconds for encryption and decryption.

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“…property of the standard block ciphers like the AES. The strength of this algorithm depends on the planning of cryptographically sturdy S-Box [10,11].…”

Section: Rfidmentioning

confidence: 99%

“…The Substitution Box (S-Box) is one of the foremost important parts and is the solely nonlinear component reassuring the confusion Electronics 2020, 9, 1168 2 of 14 property of the standard block ciphers like the AES. The strength of this algorithm depends on the planning of cryptographically sturdy S-Box [10,11].…”

Section: Introductionmentioning

confidence: 99%

Improvement of Radio Frequency Identification Security Using New Hybrid Advanced Encryption Standard Substitution Box by Chaotic Maps

et al. 2020

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“…Biswas, S. et al [ 21 ] presented a hybrid PSO and MAS approach for the path planning and obstacle avoidance of both dynamic and static threats. Similarly, academics proposed a method to defend against distributed denial-of-service (DDoS) attacks using MAS and the agents used the PSO to communicate [ 22 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

Collective Motion and Self-Organization of a Swarm of UAVs: A Cluster-Based Architecture

Ali

Han

Masood³

2021

Sensors

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This study proposes a collective motion and self-organization control of a swarm of 10 UAVs, which are divided into two clusters of five agents each. A cluster is a group of UAVs in a dedicated area and multiple clusters make a swarm. This paper designs the 3D model of the whole environment by applying graph theory. To address the aforesaid issues, this paper designs a hybrid meta-heuristic algorithm by merging the particle swarm optimization (PSO) with the multi-agent system (MAS). First, PSO only provides the best agents of a cluster. Afterward, MAS helps to assign the best agent as the leader of the nth cluster. Moreover, the leader can find the optimal path for each cluster. Initially, each cluster contains agents at random positions. Later, the clusters form a formation by implementing PSO with the MAS model. This helps in coordinating the agents inside the nth cluster. However, when two clusters combine and make a swarm in a dynamic environment, MAS alone is not able to fill the communication gap of n clusters. This study does it by applying the Vicsek-based MAS connectivity and synchronization model along with dynamic leader selection ability. Moreover, this research uses a B-spline curve based on simple waypoint defined graph theory to create the flying formations of each cluster and the swarm. Lastly, this article compares the designed algorithm with the NSGA-II model to show that the proposed model has better convergence and durability, both in the individual clusters and inside the greater swarm.

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“…Moreover, environmental conditions (ie, heavy rain or fog) and vehicle's error (ie, tyre burst or brake failure) leads to a disastrous road accident. 1 As per the Road Safety Report (2018) of the World Health Organization (WHO), approximately 1.3 million people died in road fatalities every year and can be projected to 1.9 million by 2020. 2 This motivates the need for an Intelligent Transport System (ITS) to maintain the safety of wellbeing.…”

Section: Introductionmentioning

confidence: 99%

A taxonomy of blockchain envisioned edge‐as‐a‐connected autonomous vehicles

Gupta

Kumari

Tanwar

2020

Trans Emerging Tel Tech

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In the past few decades, Intelligent Transport System (ITS) has gained the popularity in smart society. Global automotive stakeholders such as Google, Uber, and Toshiba are the driving force in that and also looking for the interconnection of autonomous vehicles (AVs) for road traffic management, that is, connected AVs (CAV). CAVs are vulnerable to various safety and security issues, for instance, denial-of-service, global positioning system (GPS) spoofing, man-in-the-middle, and timing attacks, which raise serious concerns for their development in application specific areas. Although many solutions exist in the literature, most of them are focused on centralized systems, which is having a single-point-failure. In light of the above facts, we analyze and classify the security and privacy issues in CAV and proposed a solution taxonomy in this article. We emphasized the defense mechanism for these attacks on the CAV system along with their enactment on issues and discovered how emergent blockchain technology could handle it. Furthermore, we proposed a blockchain-based secure and decentralized CAV architecture to mitigate security and privacy issues such as denial of service, man-in-the-middle, hijacking, GPS spoofing, and replay attacks. Finally, we reconnoiter the open research challenges associated with the blockchain-based CAV system. To validate the efficacy of the proposed system, a real-time case study on smart city integration over edge computing using computation and communication costs is proposed in this article.

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Chaos‐based privacy preserving vehicle safety protocol for 5G Connected Autonomous Vehicle networks

Abstract: Tr a n s a c t i o n s o n E m e r g i n g Te l e c o m m u n i c a t i o n s Te c h n o l o g i e s

Cited by 31 publications

References 29 publications

Improvement of Radio Frequency Identification Security Using New Hybrid Advanced Encryption Standard Substitution Box by Chaotic Maps

Improvement of Radio Frequency Identification Security Using New Hybrid Advanced Encryption Standard Substitution Box by Chaotic Maps

Collective Motion and Self-Organization of a Swarm of UAVs: A Cluster-Based Architecture

A taxonomy of blockchain envisioned edge‐as‐a‐connected autonomous vehicles

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