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 …

Benchmarking of machine learning for anomaly based intrusion detection systems in the CICIDS2017 dataset

ZK Maseer, R Yusof, N Bahaman, SA Mostafa… - IEEE …, 2021 - ieeexplore.ieee.org
An intrusion detection system (IDS) is an important protection instrument for detecting
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

KB Adedeji, AM Abu-Mahfouz, AM Kurien - Journal of Sensor and …, 2023 - mdpi.com
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 …

Machine learning applications based on SVM classification a review

DM Abdullah, AM Abdulazeez - Qubahan Academic Journal, 2021 - journal.qubahan.com
Extending technologies and data development culminated in the need for quicker and more
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

S Guo, X Zhao, H Wang, N Xu - Applied Mathematics and Computation, 2023 - Elsevier
In this paper, the consensus tracking control problem is investigated for a class of
heterogeneous switched nonlinear multiagent systems (MASs) with input quantization under …

IoT DoS and DDoS attack detection using ResNet

F Hussain, SG Abbas, M Husnain… - 2020 IEEE 23rd …, 2020 - ieeexplore.ieee.org
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 …

Towards secure intrusion detection systems using deep learning techniques: Comprehensive analysis and review

SW Lee, M Mohammadi, S Rashidi… - Journal of Network and …, 2021 - Elsevier
Providing a high-performance Intrusion Detection System (IDS) can be very effective in
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 …

[PDF][PDF] Exploring the potential of AI-driven optimization in enhancing network performance and efficiency

UJ Umoga, EO Sodiya… - Magna Scientia …, 2024 - pdfs.semanticscholar.org
The exponential growth of network complexity and data volume in modern digital
ecosystems has underscored the need for innovative approaches to optimize network …

An evolutionary KNN model for DDoS assault detection using genetic algorithm based optimization

F Rizvi, R Sharma, N Sharma, M Rakhra… - Multimedia Tools and …, 2024 - Springer
Abstract Distributed Denial of Service (DDoS) attacks continue to pose a significant threat to
network infrastructures, exploiting vulnerabilities within existing security protocols and …