Interaction context-aware network behavior anomaly detection for discovering unknown attacks

HIGHLIGHTS

• who: Zhi-Quan Qin et al. from the College of Computer, National University of Defense Technology, Changsha, China have published the research work: Interaction Context-Aware Network Behavior Anomaly Detection for Discovering Unknown Attacks, in the Journal: Security and Communication Networks of 11/04/2022
• what: To tackle this problem the authors propose XNBAD a novel unsupervised network behavior anomaly detection framework in this work. The authors choose CICFlowMeter to extract flow features since it is a flexible open-source tool and it can provide abundant and discriminative features for the tasks like anomaly detection . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.