Game-theoretical cyber deception strategy generation based on honeynet and intrusion prediction

Tianxiang Yu; Chunyong Zhang; Yang Xin

doi:10.1117/12.2671713

21 March 2023 Game-theoretical cyber deception strategy generation based on honeynet and intrusion prediction

Tianxiang Yu, Chunyong Zhang, Yang Xin

Proceedings Volume 12609, International Conference on Computer Application and Information Security (ICCAIS 2022); 1260914 (2023) https://doi.org/10.1117/12.2671713
Event: International Conference on Computer Application and Information Security (ICCAIS 2022), 2022, ONLINE, ONLINE

Abstract

Cyber deception is a critical component of proactive cyber defense. It releases false information about devices, applications and networks to attackers to mislead attackers, sabotage attack actions and mitigate impact of intrusion based on cyber deception strategy. There have been many researches about cyber deception strategy. Most of them consider the process of cyber attack and defense as non-cooperative game theory model and design algorithms to find optimal solutions. However, most existing researches abstract attackers and defenders into simple characters, having limitations in applicability. To supplement this part of research, we introduce intrusion prediction and honeynet to game-theoretical cyber deception and propose a novel cyber deception strategy model. We run some simulations to verify the effectiveness of our proposed model. Based on the simulation results, the rules of multi-stage cyber deception and model application are summarized, which can provide a novel and effective guidance of cyber deception.

Citation Download Citation

Tianxiang Yu, Chunyong Zhang, and Yang Xin "Game-theoretical cyber deception strategy generation based on honeynet and intrusion prediction", Proc. SPIE 12609, International Conference on Computer Application and Information Security (ICCAIS 2022), 1260914 (21 March 2023); https://doi.org/10.1117/12.2671713

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available