Using a machine learning model for malicious url type detection
SP Tung, KY Wong, I Kuzminykh, T Bakhshi… - … Conference on Next …, 2021 - Springer
The world wide web, beyond its benefits, has also become a major platform for online
criminal activities. Traditional protection methods against malicious URLs, such as …
criminal activities. Traditional protection methods against malicious URLs, such as …
Machine learning for malicious URL detection
G Wejinya, S Bhatia - ICT Systems and Sustainability: Proceedings of …, 2021 - Springer
In recent years, Web-based attacks have become one of the most common threats. Threat
actors tend to use malicious URLs to intentionally deceive users and launch attacks. Several …
actors tend to use malicious URLs to intentionally deceive users and launch attacks. Several …
A systematic approach for malware URL recognition
NA ALfouzan, C Narmatha - 2022 2nd International Conference …, 2022 - ieeexplore.ieee.org
In today's world, new communication platforms have had a profound effect on business
promotion and growth over a broad range of applications, comprising social networking, e …
promotion and growth over a broad range of applications, comprising social networking, e …
Detecting malicious URLs using lexical analysis and network activities
The majority of unlawful actions have utilised web URLs. This behaviour has a significant
financial impact on businesses, as well as a loss of intellectual or copyright property and a …
financial impact on businesses, as well as a loss of intellectual or copyright property and a …
Malicious URL detection using machine learning techniques
S Angadi, S Shukla - … Sustainable Systems: Proceedings of ICISS 2022, 2022 - Springer
Cyber security is a very important requirement for users. With the rise in Internet usage in
recent years, cyber security has become a serious concern for computer systems. When a …
recent years, cyber security has become a serious concern for computer systems. When a …
Detecting malicious urls using lexical analysis
The Web has long become a major platform for online criminal activities. URLs are used as
the main vehicle in this domain. To counter this issues security community focused its efforts …
the main vehicle in this domain. To counter this issues security community focused its efforts …
Using lexical features for malicious URL detection--a machine learning approach
A Joshi, L Lloyd, P Westin, S Seethapathy - arXiv preprint arXiv …, 2019 - arxiv.org
Malicious websites are responsible for a majority of the cyber-attacks and scams today.
Malicious URLs are delivered to unsuspecting users via email, text messages, pop-ups or …
Malicious URLs are delivered to unsuspecting users via email, text messages, pop-ups or …
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 …
states that 80.7% of the systems are compromised at least once in 2020. Cyber criminals …
Identifying generic features for malicious url detection system
HMJ Khan, Q Niyaz, VK Devabhaktuni… - 2019 IEEE 10th …, 2019 - ieeexplore.ieee.org
Malicious URLs pose serious cybersecurity threats to the Internet users. It is critical to detect
malicious URLs so that they could be blocked from user access. Several techniques have …
malicious URLs so that they could be blocked from user access. Several techniques have …
Malicious url detection using machine learning
FO Catak, K Sahinbas, V Dörtkardeş - … intelligence paradigms for …, 2021 - igi-global.com
Recently, with the increase in Internet usage, cybersecurity has been a significant challenge
for computer systems. Different malicious URLs emit different malicious software and try to …
for computer systems. Different malicious URLs emit different malicious software and try to …