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

kod QR

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

Zapisane w:

Opis bibliograficzny
Główni autorzy:	Nguyen, Chi Toan, Nguyen, Hoang Hieu, Cao, Thi Bich Phuong, Phan, The Duy, Do, Hoang Hien
Format:	Bài viết
Język:	English
Wydane:	Vietnam-Korea University of Information and Communication Technology 2024
Hasła przedmiotowe:	Defensive Deception Software-Defined Networking Deep Reinforcement Learning Honeypot Allocation
Dostęp online:	https://elib.vku.udn.vn/handle/123456789/4045
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!

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

Podobne zapisy

Cyber Defense Mechanisms: Security, Privacy, and Challenges
od: Gautam, Kumar, i wsp.
Wydane: (2023)

Leadership and self-deception :
Wydane: (2009)

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

Advancing Phishing Attack Detection with a Novel Dataset and Deep Learning Solution
od: Le, Quoc Khanh, i wsp.
Wydane: (2024)

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

Leadership and self-deception :
Wydane: (2009)

Detection of Driver Sleepiness using Deep Learning
od: Trinh, Quang Tin
Wydane: (2023)

Deep Learning for Computer Vision with Python (1st Edition)
od: Starter, Bundle, i wsp.
Wydane: (2023)

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

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

Image colorization using Deep Learning
od: Nguyen, Tai Cuong
Wydane: (2022)

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

Insider Attack and Cyber Security
od: Stolfo, Salvatore J., i wsp.
Wydane: (2020)

Deep Learning-Based Approach for Automatic Detection of Malaria in Peripheral Blood Smear Images
od: Pham, Vu Thu Nguyet, i wsp.
Wydane: (2023)

Exploring Scalability in Large-Scale Time Series in DeepVATS Framework
od: Valenzuela, Inmaculada Santamaria, i wsp.
Wydane: (2024)

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

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

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

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

Design of Experiments for Reinforcement Learning
od: Gatti, Christopher
Wydane: (2015)

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

The Japan defense academy

Automatic Detection of Pineapple's Growth Stage using Deep Learning
od: Bui, Xuan Thien, i wsp.
Wydane: (2021)

Next-Term Academic Success Prediction Using Deep Learning
od: Pham, Vu Thu Nguyet, i wsp.
Wydane: (2022)

Building an Entrance Score Prediction System using Deep Learning
od: Nguyen, Viet Du, i wsp.
Wydane: (2025)

Rasch modeling of the self-deception scale of the balanced inventory of desirable responding /
od: 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
od: Le, Nguyen Tuan Thanh
Wydane: (2022)

Deep Convolutional Neural Network for Diseases Diagnosis on Plants
od: Le, Thi Thu Nga, i wsp.
Wydane: (2022)

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

Facial Expression Recognition: A Lite Deep Learning-Based Approach
od: Vo, Hoang Chuong, i wsp.
Wydane: (2025)

Enhanced Attention-Based Multimodal Deep Learning for Product Categorization on E-Commerce Platform
od: Le, Viet Hung, i wsp.
Wydane: (2024)

Bản chất của dối trá :
od: Ariely, Dan
Wydane: (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
od: Le, Van Minh
Wydane: (2021)

Using Deep Learning for Obscene Language Detection in Vietnamese Social Media
od: Dang, Dai Tho, i wsp.
Wydane: (2023)

Defense of Japan, 1984
Wydane: (1984)

Defense of Japan, 1978
Wydane: (1978)

Aspect-Based Sentiment Analysis with Deep Learning: A Multidomain and Multitask Approach
od: Tran, Uyen Trang, i wsp.
Wydane: (2023)

Networked Predictive Control of Systems with Communication Constraints and Cyber Attacks
od: Pang, Zhong-Hua, i wsp.
Wydane: (2019)

Adaptive Autonomous Secure Cyber Systems
od: Jajodia, Sushil, i wsp.
Wydane: (2020)