Classification Model to Detect Malicious URL via Behaviour Analysis
نویسندگان
چکیده
منابع مشابه
Efficient Malicious URL based on Feature Classification
Deceitful and malicious web sites pretense significant danger to desktop security, integrity and privacy. Malicious web pages that use drive-by download attacks or social engineering techniques to install unwanted software on a user‘s computer have become the main opportunity for the proliferation of malicious code. Detection of malicious URL has become difficult because of the phishing campaig...
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Nowadays, malicious URLs are the common threat to the businesses, social networks, net-banking etc. Existing approaches have focused on binary detection i.e. either the URL is malicious or benign. Very few literature is found which focused on the detection of malicious URLs and their attack types. Hence, it becomes necessary to know the attack type and adopt an effective countermeasure. This pa...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications Technology and Research
سال: 2017
ISSN: 2319-8656
DOI: 10.7753/ijcatr0603.1003