A Review on C3I Systems' Security: Vulnerabilities, Attacks, and Countermeasures
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Abstract (arXiv)
Command, Control, Communication, and Intelligence (C3I) systems are increasingly used in critical civil and military domains for achieving information superiority, operational efficacy, and greater situational awareness. Unlike traditional systems facing widespread cyber-attacks, the sensitive nature of C3I tactical operations make their cybersecurity a critical concern. For instance, tampering or intercepting confidential information in military battlefields not only damages C3I operations, but also causes irreversible consequences such as loss of human lives and mission failures. Therefore, C3I systems have become a focal point for cyber adversaries. Moreover, technological advancements and modernization of C3I systems have significantly increased the potential risk of cyber-attacks on C3I systems. Consequently, cyber adversaries leverage highly sophisticated attack vectors to exploit security vulnerabilities in C3I systems. Despite the burgeoning significance of cybersecurity for C3I systems, the existing literature lacks a comprehensive review to systematize the body of knowledge on C3I systems' security. Therefore, in this paper, we have gathered, analyzed, and synthesized the state-of-the-art on the cybersecurity of C3I systems. In particular, this paper has identified security vulnerabilities, attack vectors, and countermeasures/defenses for C3I systems. Furthermore, our survey has enabled us to: (i) propose a taxonomy for security vulnerabilities, attack vectors and countermeasures; (ii) interrelate attack vectors with security vulnerabilities and countermeasures; and (iii) propose future research directions for advancing the state-of-the-art on the cybersecurity of C3I systems.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 24 Apr 2021.
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Citing papers per year: 2024: 2; 2025: 0; 2026: 4.
6 papers.
- 2024ChatNVD: Advancing Cybersecurity Vulnerability Assessment with Large Language Modelscited by 11
- 2024Optimizing Cyber Defense in Dynamic Active Directories through Reinforcement Learningcited by 5
- 2026Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learningcited by 3
- 2026AgenticVM: Agentic AI for Adaptive Software Vulnerability Managementcited by 2
- 2026Comparative Analysis of Large Language Models in Healthcarecited by 1
- 2026Analysing User Reviews to Identify User Concerns Around Permissions in AI Appscited by 0
- 2026Analysing User Reviews to Identify User Concerns Around Permissions in AI Apps31 Jul 2026
- 2026AgenticVM: Agentic AI for Adaptive Software Vulnerability Management3 May 2026
- 2026Comparative Analysis of Large Language Models in Healthcare11 Apr 2026
- 2026Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learning6 Apr 2026
- 2024ChatNVD: Advancing Cybersecurity Vulnerability Assessment with Large Language Models6 Dec 2024
- 2024Optimizing Cyber Defense in Dynamic Active Directories through Reinforcement Learning28 Jun 2024