Detecting Web Attacks From HTTP Weblogs Using Variational LSTM Autoencoder Deviation Network
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Services Computing"
DOI: 10.1109/tsc.2024.3453748
Abstract: Web attacks penetrate the web applications’ security through unauthorized access to sensitive information, disrupting services, and stealing data. Conventionally, rule-based statistical methods distinguish attackers from legitimate users. However, the training through manually extracted weblog features… read more here.
Keywords: lstm autoencoder; variational lstm; web attacks; network ... See more keywords
Deep Learning for Vulnerability and Attack Detection on Web Applications: A Systematic Literature Review
Sign Up to like & getrecommendations! Published in 2022 at "Future Internet"
DOI: 10.3390/fi14040118
Abstract: Web applications are the best Internet-based solution to provide online web services, but they also bring serious security challenges. Thus, enhancing web applications security against hacking attempts is of paramount importance. Traditional Web Application Firewalls… read more here.
Keywords: web attacks; detection; attacks detection; web applications ... See more keywords