Читать книгу Machine Learning Approach for Cloud Data Analytics in IoT - Группа авторов - Страница 46

Suchismita Sahoo1* and Sushree Sangita Sahoo2

1Biju Patnaik University of Technology, Rourkela, India

2Department of Computer, St. Paul’s School (ICSE), Rourkela, India

Abstract

Today’s era, which is being ruled by Internet of Things (IoT) or the reformation; being the Internet of Everything, has combined various technological affirmations with it. But along with its deployment, it is also undergoing malicious threats to compromise on the security issues of the IoT devices with high priority over the cloud, hence proving to be the weakest link of today’s computational intelligence infrastructure. Digital network security issue has become the desperate need of the hour to combat cyber attack. Although there have been various learning methods which have made break through, this chapter focuses on machine learning being used in cyber security to deal with spear phishing and corrosive malwares detection and classification. It also looks for the ways to exploit vulnerabilities in this domain which is invading the training data sets with power of artificial intelligence. Cloud being an inherent evolution, so as to deal with these issues, this chapter will be an approach to establish an interactive network, cognitively intervening the domains of cyber security services to the computational specifications of IoT.

Keywords: Cyber security, machine learning, malware detection, classification