منابع مشابه
Detection of Malicious Url Redirection and Distribution
Web-based malicious software (malware) has been increasing over the Internet .It poses threats to computer users through web sites. Computers are infected with Web-based malware by drive-by-download attacks. Drive-by-download attacks force users to download and install the Web-based malware without being aware of it .these attacks evade detection by using automatic redirections to various websi...
متن کاملFeature-based Malicious URL and Attack Type Detection Using Multi-class Classification
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...
متن کاملMalicious URL Detection using Machine Learning: A Survey
Malicious URL, a.k.a. malicious website, is a common and serious threat to cybersecurity. Malicious URLs host unsolicited content (spam, phishing, drive-by exploits, etc.) and lure unsuspecting users to become victims of scams (monetary loss, theft of private information, and malware installation), and cause losses of billions of dollars every year. It is imperative to detect and act on such th...
متن کاملURLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection
Malicious URLs host unsolicited content and are used to perpetrate cybercrimes. It is imperative to detect them in a timely manner. Traditionally, this is done through the usage of blacklists, which cannot be exhaustive, and cannot detect newly generated malicious URLs. To address this, recent years have witnessed several efforts to perform Malicious URL Detection using Machine Learning. The mo...
متن کاملEfficient 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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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/17464-8247