Automation of Disaster Recovery and Security in Cloud Computing
Tahsin Fasila Kappukalar Nasurudeen, Vinod Kumar Shukla, Shaurya Gupta · 2021
Cloud computing has become a vital part of our everyday life. A decade ago, proposing an idea on the improvement of cloud seemed like a reach. Just like with any other technology, cloud has its own drawbacks too. The way our life is moving at a fast pace, we can't begin to think of checking our backups every other day. It exhausts most people to even give it a thought. Ransom ware attacks have become so much common which eventually gave rise to the creation of multiple software. Retrieving lost files and data will become much easier if it were to be stored elsewhere prior to an attack. The subject cloud in itself has been overlooked and the fact that the same is the base for further alleviation hasn't been paid enough attention too. Improving an already existing technology almost always starts with going through its previous version's capabilities. This paper will mainly focus on how certain techniques are favoured over the other due to it meeting the standards for both personal and official usage. In simpler words, how those said techniques help small businesses develop themselves with the help of dependable backup with low cloud cost. The combination of machine learning and artificial intelligence in automation of disaster recovery testing is the future of cloud computing. When all of this checks the box, security would still be an issue. In this paper, I propose a combined approach to the access of cloud with two major algorithms: Seed block and Rivest Shamir Adleman.