Abnormal Behavior (abnormal psychology or psychopathology) refers to patterns of thoughts, feelings, or actions that deviate from the typical or socially accepted norms within a particular culture or society. It often implies behavior that is considered unusual, atypical, or outside the range of what is considered healthy or adaptive. Abnormal behavior is a key concept in the field of psychology and mental health, and it is used to identify, diagnose, and understand various mental disorders and conditions.

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Anomaly Detection on Web-User Behaviors through Deep Learning

Anomaly Detection on Web-User Behaviors through Deep Learning The modern Internet has witnessed the proliferation of web applications that play a crucial role in the branding process among enterprises. Web applications provide a communication channel between potential customers and business products. However, web applications are also targeted by attackers due to sensitive information stored in these applications. Among web-related attacks, there exists a rising but more stealthy attack where attackers first access a web application on behalf of normal users based on stolen credentials. Then attackers follow a sequence of sophisticated steps to achieve the malicious purpose. Traditional security solutions fail to detect relevant abnormal behaviors once attackers login to the web application. To address this problem, we propose WebLearner, a novel system to detect abnormal web-user behaviors. As we demonstrate in the evaluation, WebLearner has an outstanding performance. In particular, it can effectively detect abnormal user behaviors with over 96% for both precision and recall rates using a reasonably small amount of normal training data.