Dominance-based rough set approach for the detection of cyber attack

Cyber-attack is unauthorized access to a computer-based system to manipulate its information content illegally and often with harmful intent. Nowadays Internet become a growing part of our social lives. Day by day with the rapid progress of technologies, the scope of data transferred on networks is increasing. As a result, the complexity and density of cyber-attacks are also increasing. Due to the ever-growing network density, it is always hard for cyber-security professionals to observe each moment on the network. The irregularities in identification and detection in the network system become more complex due to the frequent and variety of types of cyber-attacks. In this paper, we discuss various techniques for detecting and preventing different types of cyber jamming in wireless networks. We have used dominance-based rough set theory, which gives a novelty to our proposed work, and also developed algorithms for preventing cyber jamming. In these studies, we present different types of cyber jamming in detail. We compared our technique with the other existing methods and the results obtained in tables. Our methods generate new granulation for the dominance-based rough set. The efficiency of our proposed method has been justified by a practical example of the crawdad dataset.