Advances in Cybersecurity and Coding Theory

The field of cybersecurity and coding theory is moving towards more sophisticated and innovative solutions to address the growing threats and vulnerabilities in various systems, including in-vehicle networks and blockchain-based cryptocurrencies. Researchers are exploring new approaches to intrusion detection, such as using physical characteristics of vehicle systems and generating synthetic attack data to improve the performance of intrusion detection systems. Additionally, there is a focus on developing new coding theories and constructions, such as permutation polynomials over finite fields and MDS symbol-pair codes, to enhance the security and efficiency of data transmission and storage. Notably, papers such as ATHENA, which proposes a vehicle-cloud integrated architecture for IVN intrusion detection, and the work on new constructions of MDS symbol-pair codes via simple-root cyclic codes, demonstrate significant advancements in the field. Furthermore, the analysis of blockchain-based cryptocurrency security threats and attacks highlights the need for more robust and decentralized security solutions.

Sources

ATHENA: An In-vehicle CAN Intrusion Detection Framework Based on Physical Characteristics of Vehicle Systems

Design and implementation of a novel cryptographically secure pseudorandom number generator

Weight distribution of a class of $p$-ary codes

New constructions of MDS symbol-pair codes via simple-root cyclic codes

Permutation polynomials over finite fields from low-degree rational functions

Advancing CAN Network Security through RBM-Based Synthetic Attack Data Generation for Intrusion Detection Systems

SoK: Security Analysis of Blockchain-based Cryptocurrency

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