A Semi-centralized Security Framework for In-Vehicle Networks

Roca, Ivan Edmar Carvajal; Wang, Jian; Du, Jun; Wei, Shuangqing

doi:10.1109/iwcmc48107.2020.9148360

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…To address such security issues, Roca et al presented a semi-centralized key management framework for intelligent connected vehicle security [21,39]. They realized decentralized and dynamic key distribution during vehicle operation and considered different aspects such as the broadcast communication of the ECU (electronic control unit), the ECU manufacturing process, and ECU authentication without certificates of external third parties.…”

Section: Encryption and Authentication Techniques For Ict Securitymentioning

confidence: 99%

“…In the past few years, numerous research studies have been conducted in the ICT security field, falling into three main categories: encryption and authentication [14][15][16][17][18][19][20][21], gateway isolation [22], and IDSs (intrusion detection systems) [23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38]. Specifically, the encryption and authentication approaches can accurately identify an attacker's intrusion and immediately distinguish the identity of the attacker.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Multi-Attack IDS Framework for Intelligent Connected Terminals Based on Over-the-Air Signature Updates

et al. 2023

Electronics

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Modern terminals are developing toward intelligence and ubiquitous connection. Such ICTs (intelligent connected terminals) interact more frequently with the outside world and expose new attack surfaces. IDSs (intrusion detection systems) play a vital role in protecting ICT security. Multi-attack IDSs that can cover both intra-terminal and inter-terminal networks are a promising research direction for improving detection accuracy and the strength of security protection. However, a major challenge is the frequent dynamic signature updates across the network boundary, which cause significant computational overheads and result in losses in detection performance. In light of this, we propose a novel IDS framework based on OTA (over-the-air) signature updates to implement multi-attack detection. It updates the attack signatures of the target ICTs and adds the new attack signatures to the signature database in order to minimize the local memory storage and computing resources. It employs a CNN (convolutional neural network) based on an auto-encoder to achieve multi-attack detection, which can ensure the detection accuracy of multi-attacks with the multiple classification function. We evaluated our framework on four types of real-world ICT attack data, drawing comparisons with four widely used IDS schemes, and demonstrated the non-negligible superiority of our scheme over all benchmarks in terms of accuracy, recall, precision, and F1-score. Our work represents an important step toward an IDS that can detect multi-attacks in both intra-terminal and inter-terminal networks.

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Section: Encryption and Authentication Techniques For Ict Securitymentioning

confidence: 99%