Intrusion Detection Using Convolutional Neural Network: A Color Mapping Approach on NSL-KDD Dataset DOI

Md. Abrar Faiaz,

Dipankar Mitra,

Ranat Das Prangon

и другие.

Опубликована: Дек. 19, 2024

Язык: Английский

Explainable deep learning approach for advanced persistent threats (APTs) detection in cybersecurity: a review DOI Creative Commons

Noor Hazlina Abdul Mutalib,

Aznul Qalid Md Sabri, Ainuddin Wahid Abdul Wahab

и другие.

Artificial Intelligence Review, Год журнала: 2024, Номер 57(11)

Опубликована: Сен. 18, 2024

Abstract In recent years, Advanced Persistent Threat (APT) attacks on network systems have increased through sophisticated fraud tactics. Traditional Intrusion Detection Systems (IDSs) suffer from low detection accuracy, high false-positive rates, and difficulty identifying unknown such as remote-to-local (R2L) user-to-root (U2R) attacks. This paper addresses these challenges by providing a foundational discussion of APTs the limitations existing methods. It then pivots to explore novel integration deep learning techniques Explainable Artificial Intelligence (XAI) improve APT detection. aims fill gaps in current research thorough analysis how XAI methods, Shapley Additive Explanations (SHAP) Local Interpretable Model-agnostic (LIME), can make black-box models more transparent interpretable. The objective is demonstrate necessity explainability propose solutions that enhance trustworthiness effectiveness models. offers critical approaches, highlights their strengths limitations, identifies open issues require further research. also suggests future directions combat evolving threats, paving way for effective reliable cybersecurity solutions. Overall, this emphasizes importance enhancing performance systems.

Язык: Английский

Процитировано

5
Securing Industry 5.0: An explainable deep learning model for intrusion detection in cyber-physical systems DOI
Himanshu Nandanwar, Rahul Katarya

Computers & Electrical Engineering, Год журнала: 2025, Номер 123, С. 110161 - 110161

Опубликована: Фев. 21, 2025

Язык: Английский

Процитировано

0
Protecting social networks against Dual-Vector attacks using Swarm OpenAI, Large Language Models, Swarm Intelligence, and Transformers DOI
Muhammad Nadeem, Hongsong Chen

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 127307 - 127307

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Comprehensive taxonomy and critical analysis of mitigation approaches for black-hole and gray-hole security attacks in AODV-based VANETs DOI

Abdul Haseeb Malik,

Muhammad Zahid Khan, Mohammad Faisal

и другие.

Computers & Electrical Engineering, Год журнала: 2024, Номер 122, С. 109950 - 109950

Опубликована: Дек. 7, 2024

Язык: Английский

Процитировано

0
A tensor completion algorithm for missing user data in spot trading of electricity market DOI
Ting Yang, Guoliang Liu, Yong Wang

и другие.

Computers & Electrical Engineering, Год журнала: 2024, Номер 122, С. 109988 - 109988

Опубликована: Дек. 14, 2024

Язык: Английский

Процитировано

0
Intrusion Detection Using Convolutional Neural Network: A Color Mapping Approach on NSL-KDD Dataset DOI

Md. Abrar Faiaz,

Dipankar Mitra,

Ranat Das Prangon

и другие.

Опубликована: Дек. 19, 2024

Язык: Английский

Процитировано

0