QsecR: Secure QR code Scanner According to a Novel Malicious URL Detection Framework

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...

Malicious 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...

URLNet: 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...

A Framework to Prevent QR Code Based Phishing Attacks

Though the rapid development and spread of Information and Communication Technology (ICT) making people's life much more easier, on the other hand it causing some serious threats to the society. Phishing is one of the most common cyber threat, that most users falls in. This research investigate on QR code based phishing attacks which is a newly adopted intrusive method and how to enhance the aw...

Towards a testbed for malicious code detection