A Novel Efficient Dynamic Throttling Strategy for Blockchain-Based Intrusion Detection Systems in 6G-Enabled VSNs

Area of Science:

• Cybersecurity
• Network Engineering
• Transportation Systems

Background:

• Vehicular Social Networks (VSNs) leverage Vehicle-to-Everything (V2X) services within sixth-generation (6G) networks for enhanced passenger safety and convenience.
• The increasing connectivity in VSNs presents significant challenges in detecting and preventing sophisticated cyber threats, particularly lateral movement attacks.

Purpose of the Study:

• To develop a robust system for detecting and mitigating lateral movement attacks in Vehicular Social Networks (VSNs).
• To enhance the security and performance of VSNs against compromised devices and unauthorized network access.

Main Methods:

• Proposed a novel Blockchain-based Collaborative Distributed Intrusion Detection (BCDID) system.
• Introduced a Dynamic Throttling Strategy (DTS) to manage and detect malicious activities within the VSN.
• Conducted experiments to evaluate the effectiveness and efficiency of the BCDID system with the DTS.

Main Results:

• The proposed Dynamic Throttling Strategy (DTS) significantly improved the detection capabilities of the Blockchain-based Collaborative Distributed Intrusion Detection (BCDID) system.
• The DTS enabled the BCDID system to handle queries three times faster than the default strategy, processing 350,000 queries.
• Demonstrated enhanced transaction processing capacity and overall system performance.

Conclusions:

• The Dynamic Throttling Strategy (DTS) effectively increases transaction processing capacity in the BCDID system for VSNs.
• The proposed BCDID system with DTS improves performance and maintains data integrity on the blockchain, bolstering VSN security.