loading page

Expert Knowledge Correlated Evaluation of Intrusion Detection System in Heterogeneous IoT
  • +2
  • Nitish A ,
  • Prof.(Dr).Hanumanthapppa J ,
  • Shiva Prakash S.P ,
  • Kirill Krinkin ,
  • J. Hanumanthappa
Nitish A
University of Mysore, University of Mysore

Corresponding Author:[email protected]

Author Profile
Prof.(Dr).Hanumanthapppa J
Author Profile
Shiva Prakash S.P
Author Profile
Kirill Krinkin
Author Profile
J. Hanumanthappa
Author Profile

Abstract

The dynamic heterogeneous IoT contexts adversely affect the performance of learning-based network intrusion detection and prevention systems resulting in increased misclassification rates---necessitating an expert knowledge correlated evaluation framework. The proposed framework includes intrusion root cause analysis and a correlation model that can be generalized over any network intrusion dataset, corresponding expert knowledge, detection technique, and learning-based algorithm. The experimentations prove the robustness of the propounded framework on imbalanced datasets.