Читать книгу Machine Learning Approach for Cloud Data Analytics in IoT - Группа авторов - Страница 47

This chapter is structured with an overview that “It’s only when they go wrong that machines remind you how powerful they are” by Clive James.

The major concern of these days is digital security, which is at its heights; this is because the era is becoming digitech uninterrupted exponentially. At the same time, our customizable environment becoming dynamic and scalable with its inevitable warehouse differentiated as cloud computing is one of the major concerns. Cyber security can be applied upon to attain the grip over this digital surface, whereby the veritable exposure of various machines on the web provides an area for hackers in committing frauds, which we name it as cybercrime with an internet intervention being globally at 3.9 million users across the world as per the recent news of 2020 in BBC, has aired up the opportunity for cybercrime exponentially. It is a multi-disciplinary prevention where it spans IoT through it by constantly evolving some active processes like minimizing or preventing its impact by cyber security. There exist a large number of serious issues related to the frightening situations in the growth of IoT, specifically in ground of security, privacy, and, furthermore, in all the aspects in technical environment to relocate the concerned areas which have started to move on with a rapid pace. As of need of the hour, our study also focuses on forming it as a basic entity of every design attribute for each of the related database of the electronic data transfer, so that the world could rely upon the technology as a potential of enriched dimension to take over the world with the striding facts of accessing IoT with relevance to secured encryption routes over the cloud and its associated tech facts. This secure revolution may be tough in its approach but will definitely be a renaissance.

It is a matter of great concern that, as we are progressively moving ahead with highly advanced computing technologies being deduced over internet, at the same time, the perception that is being provoked upon the security risks hovering over World Wide Web is a matter to be explored. Several encryption technologies are fuelling the online gambling and fraudulence, which is hampering the transformation of secret messages over internet.

Hence, to fine-tune the exploitation and get a makeover, the concept of cyber security needs to be embedded into the interoperability of the impaction presumption in such a way that security is restored at proactive way. Cyber security demonstrates the coaxial control over the offending activity congruency supporting the formal anticipation of stronger IT skills, suggesting the vulnerable access to the World Wide Web in increasingly analyzing the threats, and significantly making an attempt to secure usage and integration of digital information. With this being the most debated, recently, machine learning is able to resolve the conflict and can enormously bypass the network structure and work over the latest digital infrastructure.