[HTML][HTML] A review on machine learning approaches for network malicious behavior detection in emerging technologies

M Rabbani, Y Wang, R Khoshkangini, H Jelodar… - Entropy, 2021 - mdpi.com
Network anomaly detection systems (NADSs) play a significant role in every network
defense system as they detect and prevent malicious activities. Therefore, this paper offers …

A new solution for cyber security in big data using machine learning approach

R Rawat, OA Oki, KS Sankaran, O Olasupo… - Mobile Computing and …, 2023 - Springer
The information management System works on the incident association, used to track and
identify previously established threats, and is no longer suitable due to variants in the …

Machine Learning for Computer and Cyber Security

BB Gupta, M Sheng - ed: CRC Press. Preface, 2019 - api.taylorfrancis.com
Names: Gupta, Brij, 1982-editor.| Sheng, Quan Z. editor. Title: Machine learning for computer
and cyber security: principles, algorithms, and practices/editors Brij B. Gupta, National …

Evaluating deep learning approaches to characterize and classify malicious URL's

R Vinayakumar, KP Soman… - Journal of Intelligent & …, 2018 - content.iospress.com
Malicious uniform resource locator (URL), termed as malicious website is a foundation
mechanisms for many of internet criminal activities such as phishing, spamming, identity …

Detecting phishing websites using machine learning

A Alswailem, B Alabdullah, N Alrumayh… - … & Information Security …, 2019 - ieeexplore.ieee.org
Phishing website is one of the internet security problems that target the human
vulnerabilities rather than software vulnerabilities. It can be described as the process of …

Comparative study of the detection of malicious URLs using shallow and deep networks

A Vazhayil, R Vinayakumar… - 2018 9th International …, 2018 - ieeexplore.ieee.org
In the modern epoch, all information is easily accessible through websites and due to this
reason people rely completely on online resources. On the contrary to its advantages …

CNN based malicious website detection by invalidating multiple web spams

D Liu, JH Lee - IEEE access, 2020 - ieeexplore.ieee.org
Although a variety of techniques to detect malicious websites have been proposed, it
becomes more and more difficult for those methods to provide a satisfying result nowadays …

Survey on malicious URL detection techniques

R Madhubala, N Rajesh, L Shaheetha… - … conference on trends …, 2022 - ieeexplore.ieee.org
Crimes in the cyberspace are increasing day by day. Recent cyber threat defense reports
states that 80.7% of the systems are compromised at least once in 2020. Cyber criminals …

Context-sensitive and keyword density-based supervised machine learning techniques for malicious webpage detection

B Altay, T Dokeroglu, A Cosar - Soft Computing, 2019 - Springer
Conventional malicious webpage detection methods use blacklists in order to decide
whether a webpage is malicious or not. The blacklists are generally maintained by third …

URL phishing detection using machine learning techniques based on URLs lexical analysis

M Abutaha, M Ababneh, K Mahmoud… - … on Information and …, 2021 - ieeexplore.ieee.org
Phishing URLs mainly target individuals and/or organizations through social engineering
attacks by exploiting the humans' weaknesses in information security awareness. These …