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

QR Code (код быстрого отклика)

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

Сохранить в:

Библиографические подробности
Главные авторы:	Nguyen, Chi Toan, Nguyen, Hoang Hieu, Cao, Thi Bich Phuong, Phan, The Duy, Do, Hoang Hien
Формат:	Bài viết
Язык:	English
Опубликовано:	Vietnam-Korea University of Information and Communication Technology 2024
Предметы:	Defensive Deception Software-Defined Networking Deep Reinforcement Learning Honeypot Allocation
Online-ссылка:	https://elib.vku.udn.vn/handle/123456789/4045
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

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

Схожие документы

Cyber Defense Mechanisms: Security, Privacy, and Challenges
по: Gautam, Kumar, et al.
Опубликовано: (2023)

Leadership and self-deception :
Опубликовано: (2009)

David Shulman : From hire to liar : The role of deception in the workplace : book review /
по: Troyer, Lisa.

Advancing Phishing Attack Detection with a Novel Dataset and Deep Learning Solution
по: Le, Quoc Khanh, et al.
Опубликовано: (2024)

Building an application to classify gender, age, and emotion using Deep Learning
по: Le, Dac Khoa
Опубликовано: (2024)

Leadership and self-deception :
Опубликовано: (2009)

Detection of Driver Sleepiness using Deep Learning
по: Trinh, Quang Tin
Опубликовано: (2023)

Deep Learning for Computer Vision with Python (1st Edition)
по: Starter, Bundle, et al.
Опубликовано: (2023)

Building an application for identifying Birds using Deep Learning model
по: Nguyen, Si Thien
Опубликовано: (2024)

Building an app to identify Bird species using Deep Learning models
по: Nguyen, Thi Quynh Nhu
Опубликовано: (2024)

Image colorization using Deep Learning
по: Nguyen, Tai Cuong
Опубликовано: (2022)

Learn deep learning methods on the problem of identifying points and student codes
по: Tran, Binh Minh
Опубликовано: (2022)

Insider Attack and Cyber Security
по: Stolfo, Salvatore J., et al.
Опубликовано: (2020)

Deep Learning-Based Approach for Automatic Detection of Malaria in Peripheral Blood Smear Images
по: Pham, Vu Thu Nguyet, et al.
Опубликовано: (2023)

Exploring Scalability in Large-Scale Time Series in DeepVATS Framework
по: Valenzuela, Inmaculada Santamaria, et al.
Опубликовано: (2024)

Deep learning researching builds an application to recognize smoke and fire in fire protection
по: Tran, Khanh Duy
Опубликовано: (2024)

Research And Implementation Of Deep Learning Models In Identifying Financial Transaction Fraud
по: Hoang, Xuan Thang
Опубликовано: (2025)

The emergence of conditioned reinforcement from observation /
по: Greer, R. Douglas.

Building a Deep Learning Model for Diagnosing Skin Diseases
по: Dang, Phuoc Tien
Опубликовано: (2025)

Design of Experiments for Reinforcement Learning
по: Gatti, Christopher
Опубликовано: (2015)

Research and development of a Fire Detection System using Deep Learning
по: Nguyen, Minh Tri
Опубликовано: (2024)

The Japan defense academy

Automatic Detection of Pineapple's Growth Stage using Deep Learning
по: Bui, Xuan Thien, et al.
Опубликовано: (2021)

Next-Term Academic Success Prediction Using Deep Learning
по: Pham, Vu Thu Nguyet, et al.
Опубликовано: (2022)

Building an Entrance Score Prediction System using Deep Learning
по: Nguyen, Viet Du, et al.
Опубликовано: (2025)

Rasch modeling of the self-deception scale of the balanced inventory of desirable responding /
по: Cervellione, Kelly L.

Experimenting Reinforcement Learning Algorithms in a Multi-Agent Setting: A Case Study of Traffic Model for the One-Way Multi-Lane Highways
по: Le, Nguyen Tuan Thanh
Опубликовано: (2022)

Deep Convolutional Neural Network for Diseases Diagnosis on Plants
по: Le, Thi Thu Nga, et al.
Опубликовано: (2022)

Advanced Data Analytics using Python: With Machine Learning, Deep Learning and NLP Examples
по: Sayan, Mukhopadhyay
Опубликовано: (2023)

Facial Expression Recognition: A Lite Deep Learning-Based Approach
по: Vo, Hoang Chuong, et al.
Опубликовано: (2025)

Enhanced Attention-Based Multimodal Deep Learning for Product Categorization on E-Commerce Platform
по: Le, Viet Hung, et al.
Опубликовано: (2024)

Bản chất của dối trá :
по: Ariely, Dan
Опубликовано: (2017)

Applying the deep approach to improve student’s English learning /

Combine Deep Learning And Big Data By Transfer Learning: Apply To Solve Sentiment Analysis Problem In Vietnamese Language
по: Le, Van Minh
Опубликовано: (2021)

Using Deep Learning for Obscene Language Detection in Vietnamese Social Media
по: Dang, Dai Tho, et al.
Опубликовано: (2023)

Defense of Japan, 1984
Опубликовано: (1984)

Defense of Japan, 1978
Опубликовано: (1978)

Aspect-Based Sentiment Analysis with Deep Learning: A Multidomain and Multitask Approach
по: Tran, Uyen Trang, et al.
Опубликовано: (2023)

Networked Predictive Control of Systems with Communication Constraints and Cyber Attacks
по: Pang, Zhong-Hua, et al.
Опубликовано: (2019)

Adaptive Autonomous Secure Cyber Systems
по: Jajodia, Sushil, et al.
Опубликовано: (2020)