Abstract

In network security, safeguarding digital cyberspace infrastructure against malicious intrusions remains a paramount concern. This study addresses this imperative by proposing a novel approach that integrates digital watermarking, Huffman coding, and sophisticated attack classification techniques within the Controller Area Network (CAN) protocol framework. The proliferation of interconnected systems and the increasing sophistication of cyber threats necessitate novel strategies to fortify network defenses and ensure resilience in the face of adversarial activities. The research problem revolves around the need to develop an effective method for detecting and categorizing reconnaissance and violent attacks within cyberspace networks, particularly those utilizing the CAN protocol. Despite advancements in security protocols and intrusion detection systems, existing methodologies often fall short in accurately distinguishing between benign and malicious network activities, leaving critical infrastructure vulnerable to exploitation. This research uses digital watermarking to embed metadata within network packets, Huffman coding for efficient data compression, and advanced attack classification algorithms for real-time threat identification. The experimental results demonstrate the efficacy of the proposed approach in accurately differentiating between reconnaissance probes and violent attacks, thereby enabling timely and targeted responses to mitigate security threats.