A survey on data-driven network intrusion detection
Data-driven network intrusion detection (NID) has a tendency towards minority attack
classes compared to normal traffic. Many datasets are collected in simulated environments …
classes compared to normal traffic. Many datasets are collected in simulated environments …
Intelligent techniques for detecting network attacks: review and research directions
The significant growth in the use of the Internet and the rapid development of network
technologies are associated with an increased risk of network attacks. Network attacks refer …
technologies are associated with an increased risk of network attacks. Network attacks refer …
Cyber security intrusion detection for agriculture 4.0: Machine learning-based solutions, datasets, and future directions
In this paper, we review and analyze intrusion detection systems for Agriculture 4.0 cyber
security. Specifically, we present cyber security threats and evaluation metrics used in the …
security. Specifically, we present cyber security threats and evaluation metrics used in the …
Security threats, defense mechanisms, challenges, and future directions in cloud computing
S El Kafhali, I El Mir, M Hanini - Archives of Computational Methods in …, 2022 - Springer
Several new technologies such as the smart cities, the Internet of Things (IoT), and 5G
Internet need services offered by cloud computing for processing and storing more …
Internet need services offered by cloud computing for processing and storing more …
Secure cloud infrastructure: A survey on issues, current solutions, and open challenges
Cloud computing is currently becoming a well-known buzzword in which business titans,
such as Microsoft, Amazon, and Google, among others, are at the forefront in developing …
such as Microsoft, Amazon, and Google, among others, are at the forefront in developing …
Apply machine learning techniques to detect malicious network traffic in cloud computing
A Alshammari, A Aldribi - Journal of Big Data, 2021 - Springer
Computer networks target several kinds of attacks every hour and day; they evolved to make
significant risks. They pass new attacks and trends; these attacks target every open port …
significant risks. They pass new attacks and trends; these attacks target every open port …
Chronological salp swarm algorithm based deep belief network for intrusion detection in cloud using fuzzy entropy
L Karuppusamy, J Ravi, M Dabbu… - … Journal of Numerical …, 2022 - Wiley Online Library
Cloud computing is susceptible to the existing information technology attacks, as it extends
and uses the traditional operating system, information technology infrastructure, and …
and uses the traditional operating system, information technology infrastructure, and …
Advancing network security in industrial IoT: a deep dive into AI-enabled intrusion detection systems
The increasing use of Industrial Internet of Things (IIoT) devices has heightened concerns
about cybersecurity threats, particularly botnet attacks. Traditional internet communication …
about cybersecurity threats, particularly botnet attacks. Traditional internet communication …
iNIDS: SWOT Analysis and TOWS Inferences of State-of-the-Art NIDS solutions for the development of Intelligent Network Intrusion Detection System
J Verma, A Bhandari, G Singh - Computer Communications, 2022 - Elsevier
Introduction: The growth of ubiquitous networked devices and the proliferation of
geographically dispersed 'Internet of Thing'devices have exponentially increased network …
geographically dispersed 'Internet of Thing'devices have exponentially increased network …
A comprehensive study of cloud forensics
P Purnaye, V Kulkarni - Archives of Computational Methods in …, 2022 - Springer
Cloud Computing has many facets to it which makes it diverse. Investigation of a cyber-crime
that involves the cloud as a subject, object, or as an environment, is cloud forensics …
that involves the cloud as a subject, object, or as an environment, is cloud forensics …