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Study on artificial intelligence: The state of the art and future prospects
C Zhang, Y Lu - Journal of Industrial Information Integration, 2021 - Elsevier
In the world, the technological and industrial revolution is accelerating by the widespread
application of new generation information and communication technologies, such as AI, IoT …
application of new generation information and communication technologies, such as AI, IoT …
Benchmarking of machine learning for anomaly based intrusion detection systems in the CICIDS2017 dataset
An intrusion detection system (IDS) is an important protection instrument for detecting
complex network attacks. Various machine learning (ML) or deep learning (DL) algorithms …
complex network attacks. Various machine learning (ML) or deep learning (DL) algorithms …
DDoS attack and detection methods in internet-enabled networks: Concept, research perspectives, and challenges
In recent times, distributed denial of service (DDoS) has been one of the most prevalent
security threats in internet-enabled networks, with many internet of things (IoT) devices …
security threats in internet-enabled networks, with many internet of things (IoT) devices …
Machine learning applications based on SVM classification a review
Extending technologies and data development culminated in the need for quicker and more
reliable processing of massive data sets. Machine Learning techniques are used …
reliable processing of massive data sets. Machine Learning techniques are used …
Distributed consensus of heterogeneous switched nonlinear multiagent systems with input quantization and DoS attacks
In this paper, the consensus tracking control problem is investigated for a class of
heterogeneous switched nonlinear multiagent systems (MASs) with input quantization under …
heterogeneous switched nonlinear multiagent systems (MASs) with input quantization under …
IoT DoS and DDoS attack detection using ResNet
The network attacks are increasing both in frequency and intensity with the rapid growth of
internet of things (IoT) devices. Recently, denial of service (DoS) and distributed denial of …
internet of things (IoT) devices. Recently, denial of service (DoS) and distributed denial of …
Towards secure intrusion detection systems using deep learning techniques: Comprehensive analysis and review
Providing a high-performance Intrusion Detection System (IDS) can be very effective in
controlling malicious behaviors and cyber-attacks. Regarding the ever-growing negative …
controlling malicious behaviors and cyber-attacks. Regarding the ever-growing negative …
Attacks against cross-chain systems and defense approaches: A contemporary survey
L Duan, Y Sun, W Ni, W Ding, J Liu… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
The blockchain cross-chain is a significant technology for inter-chain interconnection and
value transfer among different blockchain networks. Cross-chain overcomes the “information …
value transfer among different blockchain networks. Cross-chain overcomes the “information …
[PDF][PDF] Exploring the potential of AI-driven optimization in enhancing network performance and efficiency
The exponential growth of network complexity and data volume in modern digital
ecosystems has underscored the need for innovative approaches to optimize network …
ecosystems has underscored the need for innovative approaches to optimize network …
An evolutionary KNN model for DDoS assault detection using genetic algorithm based optimization
Abstract Distributed Denial of Service (DDoS) attacks continue to pose a significant threat to
network infrastructures, exploiting vulnerabilities within existing security protocols and …
network infrastructures, exploiting vulnerabilities within existing security protocols and …