Overview on intrusion detection systems design exploiting machine learning for networking cybersecurity
The Intrusion Detection System (IDS) is an effective tool utilized in cybersecurity systems to
detect and identify intrusion attacks. With the increasing volume of data generation, the …
detect and identify intrusion attacks. With the increasing volume of data generation, the …
Machine learning-based social media bot detection: a comprehensive literature review
In today's digitalized era, Online Social Networking platforms are growing to be a vital aspect
of each individual's daily life. The availability of the vast amount of information and their …
of each individual's daily life. The availability of the vast amount of information and their …
Phishing URLs detection using sequential and parallel ML techniques: comparative analysis
In today's digitalized era, the world wide web services are a vital aspect of each individual's
daily life and are accessible to the users via uniform resource locators (URLs) …
daily life and are accessible to the users via uniform resource locators (URLs) …
AI-based techniques for Ad click fraud detection and prevention: Review and research directions
RA Alzahrani, M Aljabri - Journal of Sensor and Actuator Networks, 2022 - mdpi.com
Online advertising is a marketing approach that uses numerous online channels to target
potential customers for businesses, brands, and organizations. One of the most serious …
potential customers for businesses, brands, and organizations. One of the most serious …
[HTML][HTML] Click fraud detection for online advertising using machine learning
Advertising corporations have moved their focus to online and in-App advertisements in
response to the expansion of digital technologies and social media. Online advertising …
response to the expansion of digital technologies and social media. Online advertising …
Efficient Classification of Malicious URLs: M-BERT-A Modified BERT Variant for Enhanced Semantic Understanding
Malicious websites present a substantial threat to the security and privacy of individuals
using the internet. Traditional approaches for identifying these malicious sites have …
using the internet. Traditional approaches for identifying these malicious sites have …
Machine learning-based detection for unauthorized access to IoT devices
The Internet of Things (IoT) has become widely adopted in businesses, organizations, and
daily lives. They are usually characterized by transferring and processing sensitive data …
daily lives. They are usually characterized by transferring and processing sensitive data …
Detecting command injection attacks in web applications based on novel deep learning methods
X Wang, J Zhai, H Yang - Scientific Reports, 2024 - nature.com
Web command injection attacks pose significant security threats to web applications, leading
to potential server information leakage or severe server disruption. Traditional detection …
to potential server information leakage or severe server disruption. Traditional detection …
Improving Cybersecurity: A Comparative Analysis of Machine Learning-Based Uniform Resource Locator (URL) Classification
RG de Luna, KAR Girang, JELD Lucido… - … on Informatics and …, 2024 - ieeexplore.ieee.org
Threats on the internet are a major issue, as cyberattacks continue to pose a security
challenge due to the increasing number of malicious sites. Therefore, it is crucial to maintain …
challenge due to the increasing number of malicious sites. Therefore, it is crucial to maintain …
Advances in artificial intelligence for detecting algorithmically generated domains: Current trends and future prospects
This comprehensive review navigates the complex domain of Domain Generation
Algorithms (DGAs) and their detection using Artificial Intelligence (AI), revealing both …
Algorithms (DGAs) and their detection using Artificial Intelligence (AI), revealing both …