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Explainable deep learning approach for advanced persistent threats (APTs) detection in cybersecurity: a review
Abstract In recent years, Advanced Persistent Threat (APT) attacks on network systems have
increased through sophisticated fraud tactics. Traditional Intrusion Detection Systems (IDSs) …
increased through sophisticated fraud tactics. Traditional Intrusion Detection Systems (IDSs) …
Comprehensive taxonomy and critical analysis of mitigation approaches for black-hole and gray-hole security attacks in AODV-based VANETs
Due to the intrinsically open, distributed, and highly dynamic nature of Vehicular Ad-hoc
Networks (VANETs) and their application scope, the safety and security of VANETs have …
Networks (VANETs) and their application scope, the safety and security of VANETs have …
A tensor completion algorithm for missing user data in spot trading of electricity market
Y Ting, L Guoliang, W Yong, S Siyuan, Z Meiling… - Computers and …, 2025 - Elsevier
The electricity spot market, a lack of electricity data disrupts the balance between supply and
demand and makes it difficult to plan generation and supply. To solve this problem, this …
demand and makes it difficult to plan generation and supply. To solve this problem, this …
Integrating Machine Learning and T-tests to Optimize Distributed Denial of Service Attacks Detection.
R Manthena, R Vangipuram - International Journal of …, 2024 - search.ebscohost.com
Distributed denial of service attacks pose a significant challenge to the organizations
providing IT services. The main aim of Distributed Denial of Service (DDoS) attacks is to …
providing IT services. The main aim of Distributed Denial of Service (DDoS) attacks is to …
Intrusion Detection Using Convolutional Neural Network: A Color Map** Approach on NSL-KDD Dataset
Converting any kind of data to image data can make the dataset suitable for Convolutional
Neural Networks (CNNs). In this study, the NSL-KDD dataset was converted to image data …
Neural Networks (CNNs). In this study, the NSL-KDD dataset was converted to image data …
HyDeck: Hybrid Decider-K for IoT Intrusion Detection System
RBM Putra, LA Sanjani, CD Renggana… - 2024 9th …, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) is currently experiencing rapid growth in various sectors of
human life, leading to significant advancements in technology and convenience. However …
human life, leading to significant advancements in technology and convenience. However …