ABSTRACT
This chapter proposes a methodology for improving the preparation procedure of support vector machine (SVM) when managing expansive preparation of information sets. It depends on the blend of SVM and grouping investigation. Information mining has a few security-related applications in national security and cybersecurity. National security is related to cybersecurity: higher cybersecurity leads to a higher business rate, because when the security of consumer and business assets and information increases, business also increases and it will strengthen our economy. The utilization of data—especially data about individuals—for data mining has genuine ethical implications, and specialists of data miningmethods must act dependably by making themselves aware of everything that encompasses their specific application. The SVM experiment is conducted on different data such as hacktivism, cybercrime, cyberwarfare, cyberespionage, and these data are taken from the different published researches.
