An Adaptive Cyber Deception Approach for Active Cyber-attack Defense Method based on Deep Reinforcement Learning

Proceedings of the 13th International Conference on Information Technology and Its Applications (CITA 2024); pp: 343-354

Kaydedildi:

Detaylı Bibliyografya
Asıl Yazarlar:	Nguyen, Chi Toan, Nguyen, Hoang Hieu, Cao, Thi Bich Phuong, Phan, The Duy, Do, Hoang Hien
Materyal Türü:	Bài viết
Dil:	English
Baskı/Yayın Bilgisi:	Vietnam-Korea University of Information and Communication Technology 2024
Konular:	Defensive Deception Software-Defined Networking Deep Reinforcement Learning Honeypot Allocation
Online Erişim:	https://elib.vku.udn.vn/handle/123456789/4045
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Thư viện lưu trữ:	Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng

id	oai:elib.vku.udn.vn:123456789-4045
record_format	dspace
spelling	oai:elib.vku.udn.vn:123456789-40452024-07-31T04:20:51Z An Adaptive Cyber Deception Approach for Active Cyber-attack Defense Method based on Deep Reinforcement Learning Nguyen, Chi Toan Nguyen, Hoang Hieu Cao, Thi Bich Phuong Phan, The Duy Do, Hoang Hien Defensive Deception Software-Defined Networking Deep Reinforcement Learning Honeypot Allocation Proceedings of the 13th International Conference on Information Technology and Its Applications (CITA 2024); pp: 343-354 The diverse landscape of network models, including Software-Defined Networking (SDN), Cloud Computing (C2), and Internet of Things (IoT), is evolving to meet the demands of flexibility and performance. However, these environments face numerous security challenges due to cyber-attack complexity. Traditional defense mechanisms are no longer effective against modern attacks. Therefore, Defensive Deception (DD) is proposed as an active defense approach for deceiving attackers. Despite the optimized resource deployment of both Machine Learning (ML) and Deep Learning (DL), they necessitate the usage of pre-existing datasets that have been labeled. Our paper combines Deep Reinforcement Learning (DRL) and SDN technology to establish a novel strategic deception deployment method. This combination creates a powerful security solution that generates deceptive targets and resources to attract attackers, as a result, it provides improved visibility, threat detection, response capabilities, and threat intelligence. Our experiments are implemented on a simulated SDN-based network. The experimental results show that our approach gives significant effectiveness for deception resource allocation compared to random strategies. 2024-07-31T04:20:48Z 2024-07-31T04:20:48Z 2024-07 Working Paper 978-604-80-9774-5 https://elib.vku.udn.vn/handle/123456789/4045 en CITA; application/pdf Vietnam-Korea University of Information and Communication Technology
institution	Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng
collection	DSpace
language	English
topic	Defensive Deception Software-Defined Networking Deep Reinforcement Learning Honeypot Allocation
spellingShingle	Defensive Deception Software-Defined Networking Deep Reinforcement Learning Honeypot Allocation Nguyen, Chi Toan Nguyen, Hoang Hieu Cao, Thi Bich Phuong Phan, The Duy Do, Hoang Hien An Adaptive Cyber Deception Approach for Active Cyber-attack Defense Method based on Deep Reinforcement Learning
description	Proceedings of the 13th International Conference on Information Technology and Its Applications (CITA 2024); pp: 343-354
format	Working Paper
author	Nguyen, Chi Toan Nguyen, Hoang Hieu Cao, Thi Bich Phuong Phan, The Duy Do, Hoang Hien
author_facet	Nguyen, Chi Toan Nguyen, Hoang Hieu Cao, Thi Bich Phuong Phan, The Duy Do, Hoang Hien
author_sort	Nguyen, Chi Toan
title	An Adaptive Cyber Deception Approach for Active Cyber-attack Defense Method based on Deep Reinforcement Learning
title_short	An Adaptive Cyber Deception Approach for Active Cyber-attack Defense Method based on Deep Reinforcement Learning
title_full	An Adaptive Cyber Deception Approach for Active Cyber-attack Defense Method based on Deep Reinforcement Learning
title_fullStr	An Adaptive Cyber Deception Approach for Active Cyber-attack Defense Method based on Deep Reinforcement Learning
title_full_unstemmed	An Adaptive Cyber Deception Approach for Active Cyber-attack Defense Method based on Deep Reinforcement Learning
title_sort	adaptive cyber deception approach for active cyber-attack defense method based on deep reinforcement learning
publisher	Vietnam-Korea University of Information and Communication Technology
publishDate	2024
url	https://elib.vku.udn.vn/handle/123456789/4045
_version_	1849204944770433024

An Adaptive Cyber Deception Approach for Active Cyber-attack Defense Method based on Deep Reinforcement Learning

Benzer Materyaller