Search Results - "Intrusion Detection System"

An enhanced AI-based Network Intrusion Detection System using Generative Adversarial Networks by Park, Cheolhee, Lee, Jonghoon, Kim, Youngsoo, Park, Jong-Geun, Kim, Hyunjin, Hong, Dowon

“…As communication technology advances, various and heterogeneous data are communicated in distributed environments through network systems. Meanwhile, along…”
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Network intrusion detection system: A systematic study of machine learning and deep learning approaches by Ahmad, Zeeshan, Shahid Khan, Adnan, Wai Shiang, Cheah, Abdullah, Johari, Ahmad, Farhan

“…The rapid advances in the internet and communication fields have resulted in a huge increase in the network size and the corresponding data. As a result, many…”
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A feature selection algorithm for intrusion detection system based on Pigeon Inspired Optimizer by Alazzam, Hadeel, Sharieh, Ahmad, Sabri, Khair Eddin

“…•A summary of feature selection algorithms for intrusion detection system.•A feature selection pigeon optimizer algorithm for intrusion detection system.•A new…”
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Building Auto-Encoder Intrusion Detection System based on random forest feature selection by Li, XuKui, Chen, Wei, Zhang, Qianru, Wu, Lifa

“…Machine learning techniques have been widely used in intrusion detection for many years. However, these techniques are still suffer from lack of labeled…”
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Attack Classification of Imbalanced Intrusion Data for IoT network Using Ensemble Learning-based Deep Neural Network by Thakkar, Ankit, Lohiya, Ritika

“…With the increase in popularity of Internet of Things (IoT) and rise in interconnected devices, the need to foster effective security mechanism to handle…”
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Building an efficient intrusion detection system based on feature selection and ensemble classifier by Zhou, Yuyang, Cheng, Guang, Jiang, Shanqing, Dai, Mian

“…Intrusion detection system (IDS) is one of extensively used techniques in a network topology to safeguard the integrity and availability of sensitive assets in…”
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Intercept the Cloud Network From Brute Force and DDoS Attacks via Intrusion Detection and Prevention System by Nadeem, Muhammad, Arshad, Ali, Riaz, Saman, Band, Shahab S., Mosavi, Amir

“…Cloud computing is considered to be the best technique for storing data online instead of using a hard drive. It includes three different types of computing…”
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Towards a Standard Feature Set for Network Intrusion Detection System Datasets by Sarhan, Mohanad, Layeghy, Siamak, Portmann, Marius

“…Network Intrusion Detection Systems (NIDSs) are important tools for the protection of computer networks against increasingly frequent and sophisticated cyber…”
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Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity by Shaukat, Kamran, Luo, Suhuai, Varadharajan, Vijay, Hameed, Ibrahim, Chen, Shan, Liu, Dongxi, Li, Jiaming

“…Cyberspace has become an indispensable factor for all areas of the modern world. The world is becoming more and more dependent on the internet for everyday…”
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Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems by Ashraf, Javed, Bakhshi, Asim D., Moustafa, Nour, Khurshid, Hasnat, Javed, Abdullah, Beheshti, Amin

“…Intelligent Transportation Systems (ITS), especially Autonomous Vehicles (AVs), are vulnerable to security and safety issues that threaten the lives of the…”
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A Network Intrusion Detection System with Broadband WO3–x/WO3–x‐Ag/WO3–x Optoelectronic Memristor by Yang, Wenhao, Kan, Hao, Shen, Guozhen, Li, Yang

“…Real‐time intrusion detection system based on the von Neumann architecture struggle to balance low power consumption and high computing speed. In this work, a…”
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DeepCoin: A Novel Deep Learning and Blockchain-Based Energy Exchange Framework for Smart Grids by Ferrag, Mohamed Amine, Maglaras, Leandros

“…In this paper, we propose a novel deep learning and blockchain-based energy framework for smart grids, entitled DeepCoin. The DeepCoin framework uses two…”
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A Systematic Literature Review on Host-Based Intrusion Detection Systems by Satilmis, Hami, Akleylek, Sedat, Tok, Zaliha Yuce

“…With the advancements in computer networks and systems, the number of security vulnerabilities and cyber attacks targeting/using these vulnerabilities…”
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Advanced Feature Extraction and Selection Approach Using Deep Learning and Aquila Optimizer for IoT Intrusion Detection System by Fatani, Abdulaziz, Dahou, Abdelghani, Al-qaness, Mohammed A. A., Lu, Songfeng, Abd Elaziz, Mohamed Abd

“…Developing cyber security is very necessary and has attracted considerable attention from academy and industry organizations worldwide. It is also very…”
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An Intelligent Intrusion Detection System for Smart Consumer Electronics Network by Javeed, Danish, Saeed, Muhammad Shahid, Ahmad, Ijaz, Kumar, Prabhat, Jolfaei, Alireza, Tahir, Muhammad

“…The technological advancements of Internet of Things (IoT) has revolutionized traditional Consumer Electronics (CE) into next-generation CE with higher…”
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A Survey of Intrusion Detection for In-Vehicle Networks by Wu, Wufei, Li, Renfa, Xie, Guoqi, An, Jiyao, Bai, Yang, Zhou, Jia, Li, Keqin

“…The development of the complexity and connectivity of modern automobiles has caused a massive rise in the security risks of in-vehicle networks (IVNs)…”
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Towards Deep-Learning-Driven Intrusion Detection for the Internet of Things by Thamilarasu, Geethapriya, Chawla, Shiven

“…Cyber-attacks on the Internet of Things (IoT) are growing at an alarming rate as devices, applications, and communication networks are becoming increasingly…”
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Explainable Intrusion Detection for Cyber Defences in the Internet of Things: Opportunities and Solutions by Moustafa, Nour, Koroniotis, Nickolaos, Keshk, Marwa, Zomaya, Albert Y., Tari, Zahir

“…The field of Explainable Artificial Intelligence (XAI) has garnered considerable research attention in recent years, aiming to provide interpretability and…”
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A Method of Few-Shot Network Intrusion Detection Based on Meta-Learning Framework by Xu, Congyuan, Shen, Jizhong, Du, Xin

“…Conventional intrusion detection systems based on supervised learning techniques require a large number of samples for training, while in some scenarios, such…”
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Survey of intrusion detection systems: techniques, datasets and challenges by Khraisat, Ansam, Gondal, Iqbal, Vamplew, Peter, Kamruzzaman, Joarder

“…Cyber-attacks are becoming more sophisticated and thereby presenting increasing challenges in accurately detecting intrusions. Failure to prevent the…”
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