Research on Virus Cyberattack-Defense Based on Electromagnetic Radiation

TL;DR

This paper explores the feasibility of remote virus cyberattacks via electromagnetic radiation, using digital signal processing and AI-based detection methods to enhance cybersecurity defenses against such novel threats.

Contribution

It introduces a model for electromagnetic radiation-based virus injection and proposes AI-driven signal recognition for effective defense mechanisms.

Findings

Demonstrated the potential for remote virus injection using terahertz signals.

Proposed a signal recognition approach for attack detection.

Suggested establishing a virus library for automated intrusion detection.

Abstract

Information technology and telecommunications have rapidly permeated various domains, resulting in a significant influx of data traversing the networks between computers. Consequently, research of cyberattacks in computer systems has become crucial for many organizations. Accordingly, recent cybersecurity incidents have underscored the rapidly evolving nature of future threats and attack methods, particularly those involving computer viruses wireless injection. This paper aims to study and demonstrate the feasibility of remote computer virus radiation injection. To achieve this objective, digital signal processing (DSP) plays a vital role. By studying the principles and models of radiation attacks and computer virus propagation, the modulation of the binary data stream of the simulated virus into a terahertz radar carrier signal by Phase-Shift Keying (PSK) is simulated, enabling the implementation of an attack through the "field to line" coupling of electromagnetic signals. Finally, the defense and countermeasures based on signal recognition are discussed for such attacks. Additionally, an idea of establishing a virus library for cyberattack signals and employing artificial intelligence (AI) algorithms for automated intrusion detection is proposed as a means to achieve cybersecurity situation awareness.