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Cyber Deception: State of the art, Trends and Open challenges

arXiv 2409.07194 ↗First posted 11 Sep 2024cs.CR cs.AI cs.GTcited by 0

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Abstract (arXiv)

The growing interest in cybersecurity has significantly increased articles designing and implementing various Cyber Deception (CYDEC) mechanisms. This trend reflects the urgent need for new strategies to address cyber threats effectively. Since its emergence, CYDEC has established itself as an innovative defense against attackers, thanks to its proactive and reactive capabilities, finding applications in numerous real-life scenarios. Despite the considerable work devoted to CYDEC, the literature still presents significant gaps. In particular, there has not been (i) a comprehensive analysis of the main components characterizing CYDEC, (ii) a generic classification covering all types of solutions, nor (iii) a survey of the current state of the literature in various contexts. This article aims to fill these gaps through a detailed review of the main features that comprise CYDEC, developing a comprehensive classification taxonomy. In addition, the different frameworks used to generate CYDEC are reviewed, presenting a more comprehensive one. Existing solutions in the literature using CYDEC, both without Artificial Intelligence (AI) and with AI, are studied and compared. Finally, the most salient trends of the current state of the art are discussed, offering a list of pending challenges for future research.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 23 of its 201 references that are in the map. First posted on arXiv 11 Sep 2024.

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23 of 201 references.

References · 23

  1. 2022Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challengescited by 138
  2. 2019Deep Reinforcement Learning for Cyber Securitycited by 95
  3. 2017A Game-Theoretic Taxonomy and Survey of Defensive Deception for Cybersecurity and Privacycited by 22
  4. 2024Review of Generative AI Methods in Cybersecuritycited by 9
  5. 2020A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversariescited by 4
  6. 2023Combating Advanced Persistent Threats: Challenges and Solutionscited by 4
  7. 2023DOLOS: A Novel Architecture for Moving Target Defensecited by 3
  8. 2018Demystifying Deception Technology:A Surveycited by 2
  9. 2020Cyber Deception for Computer and Network Security: Survey and Challengescited by 2
  10. 2022Security Orchestration, Automation, and Response Engine for Deployment of Behavioural Honeypotscited by 2
  11. 2022Deception for Cyber Defence: Challenges and Opportunitiescited by 2
  12. 2015A Game-Theoretic Study on Non-Monetary Incentives in Data Analytics Projects with Privacy Implicationscited by 1
11 more
  1. 2016Preventive and Reactive Cyber Defense Dynamics Is Globally Stablecited by 1
  2. 2020Optimal deception attack on networked vehicular cyber physical systemscited by 1
  3. 2021An Analytics Framework for Heuristic Inference Attacks against Industrial Control Systemscited by 1
  4. 2021Three Decades of Deception Techniques in Active Cyber Defense -- Retrospect and Outlookcited by 1
  5. 2021HoneyCar: A Framework to Configure Honeypot Vulnerabilities on the Internet of Vehiclescited by 1
  6. 2022Sludge for Good: Slowing and Imposing Costs on Cyber Attackerscited by 1
  7. 2023SCANTRAP: Protecting Content Management Systems from Vulnerability Scanners with Cyber Deception and Obfuscationcited by 1
  8. 2023AIIPot: Adaptive Intelligent-Interaction Honeypot for IoT Devicescited by 1
  9. 2023Honeypot Allocation for Cyber Deception in Dynamic Tactical Networks: A Game Theoretic Approachcited by 1
  10. 2024HoneyDOC: An Efficient Honeypot Architecture Enabling All-Round Designcited by 1
  11. 2024Cyber Deception Reactive: TCP Stealth Redirection to On-Demand Honeypotscited by 1

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