Mar 3, 2014 · WebWinnow: leveraging exploit kit workflows to detect malicious urls. Security and privacy · Intrusion/anomaly detection and malware mitigation.
Mar 5, 2014 · In a nutshell, our approach is formulated as a machine learn- ing based technique for the detection of malicious URLs hosted by exploit kits. At ...
In this paper, we tackle the problem of detecting whether a given URL is hosted by an exploit kit. Through an extensive analysis of the workflows of about 40 ...
An approach that uses machine learning to detect whether a given URL is hosting an exploit kit, and the design and implementation of a system called ...
Extensive experiments with real world malicious URLs reveal that WEBWINNOW is highly effective in the detection of malicious URLs hosted by exploit kits with ...
ABSTRACT. Organized cybercrime on the Internet is proliferating due to ex- ploit kits. Attacks launched through these kits include drive-by-.
Webwinnow: Leveraging exploit kit workflows to detect malicious urls. B Eshete, VN Venkatakrishnan. Proceedings of the 4th ACM conference on Data and ...
People also ask
Which mitigation technique best applies to malicious uRl links?
What is malicious uRl detection?
WebWinnow: Leveraging Exploit Kit Workflows to Detect Malicious URLs. Birhanu ... EINSPECT: Evolution-Guided Analysis and Detection of Malicious Web Pages
DynaMiner: Leveraging Infection Dynamics Analytics for On-the-Wire Malware Detection. ... WebWinnow: Leveraging Exploit Kit Workflows to Detect Malicious URLs. In ...
WebWinnow: Leveraging exploit kit workflows to detect malicious URLs · Effective Analysis, Characterization, and Detection of Malicious Activities on the Web ...