Practicality of Data Mining for Proficient Network Security Management
Muni Prashneel Gounder, Jesmin Nahar · 2018
This research proffers modern inclination and practices in data mining to the rapid growth in risks and threats in the area of Network security in today's modern digital revolution age. It also deliberates broad review on network vulnerabilities and utilizes computational intelligence to recognize risk factors associated with network attacks using association rule mining. The research likewise builds up a novel information database extricating information from existing literature. Ostensibly, the results may help in designing a network vulnerability diagnostic system that add to early finding of network attack risk factors. Additionally, it exhibits the adequacy of computational intelligence strategies in network vulnerabilities analysis. The primary beneficiaries of this article are academicians, network administrators and students whose focus is in the area of data mining in network security for research and development.