Biblio

Internet security is constantly at risk as a result of the fast developing and highly sophisticated exploitation methods. These attacks use numerous media to take advantage of the most vulnerable of Internet users. Phishing, spam calling, unsecure content and other means of intrusion threaten Internet users every day. In order to maintain the security and privacy of sensitive user data, the user must pay for services that include the storage and generation of secure passwords, monitoring internet traffic to discourage navigation to malicious websites, among other services. Some people do not have the money to purchase privacy protection services and others find convoluted euphemisms baked into privacy policies quite confusing. In response to this problem, we developed an Internet security software package, Secure Suite, which we provide as open source and hence free of charge. Users can easily deploy and manage Secure Suite. It is composed of a password manager, a malicious URL detection service, dubbed MalURLNet, a URL extender, data visualization tools, a browser extension to interact with the web app, and utility tools to maintain data integrity. MalURLNet is one of the main components of Secure Suite. It utilizes deep learning and other open-source software to mitigate security threats by identifying malicious URLs. We exhaustively tested our proposed MalURLNet service. Our studies show that MalURLNet outperforms four other well-known URL classifiers in terms of accuracy, loss, precision, recall, and F1-Score.