Advertisement
Published in:
2023 | OriginalPaper | Chapter
Detection of Mirai and GAF-GYT Attack in Wireless Sensor Network
Authors : Hanjabam Saratchandra Sharma, Moirangthem Marjit Singh, Arindam Sarkar
Published in: Intelligent Cyber Physical Systems and Internet of Things
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Abstract
Wireless Sensor Network plays an important role in collecting data from different environments where human involvement is deemed fatal or unnecessary. Apart from its usefulness, security threats and vulnerabilities exist as a common problem. A robust IDS (intrusion detection system) in WSN will be helpful in detecting and classifying the types of attacks, so as to remove or nullify the security threats. In this paper, we proposed a method to detect Mirai and GAF-GYT attacks in WSN using CNN along with f_classif function and normalization. Further, implementation of the proposed method has been carried out considering the scenarios: CNN without normalization along with f_classif function and CNN without normalization and without f_classif function. It is seen that the method that uses CNN along with f_classif function and normalization exhibits better performance in terms of parameters such as TPR, PPV, TNR, NPV, FPR, FDR, and FNR.