Microsoft Word - Research - chapter 1 - Introduction.docx 1 CYBERSECURITY FRAMEWORK WITH AI FOR CLOUD COMPUTING 2 Table of Contents Chapter 1 - Introduction...

Running Head: Artificial Intelligence
Machine Learning and Artificial Intelligence
Cyber security framework with artificial intelligence for cloud computing
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Contents
Introduction    3
Cyber security framework with artificial intelligence for cloud computing    4
Conclusion    10
References    12
Introduction
Artificial intelligence (AI) is changing the natural order of things - from how we operate and operate the economy to today's types of warfare, communication, privacy protections and so on. Is an excellent example of Driver-less cars? Although their long-term effects are uncertain, this technology is a great help to cyber security experts as they can be used to quickly diagnose and analyze possible attacks. Artificial intelligence (AI) is capability of machine or computer program to act, learn and think as a human being. This is an area of ​​study that seeks to make computers smart. The main goal of AI is to develop computer systems that are capable of doing things that humans do. In AI, different methods are studied by computers to behave just as intelligently as people (Albakri, Shanmugam, Samy, Idris & Ahmed, 2014). The concept is to create a machine capable of doing tasks without human intervention, such as building a smart machine.
Much has been talked about the applications of artificial intelligence and machine learning in our daily lives. From people to businesses, no one has taken advantage of the opportunity that technology has provided (Akinrolabu, Nurse, Martin & New, 2019). Slowly efforts are being made to a stage where no longer requires human intervention. Machine learning, subset of AI, is the bright future of science - the next level of evolution in automation. When machine learning and artificial intelligence combine with cloud computing, it becomes even more powerful - the intelligent cloud. According to the study done by Bharathi & Neelamegam the increased flexibility of cloud services enables businesses to use their data to share, efficiently store their data, thereby improving overall efficiency and ensuring savings (Bharathi & Neelamegam, 2013). Cloud computing has enabled businesses to focus on other key areas, rather than investing their time and resources into managing IT infrastructure. With the advent of artificial intelligence, the intelligent cloud is now able to learn from the billions of data stored in the cloud and come up with predictions and analyze the situation. However, each new type of technology comes with large and complex security requirements associated with it (Alcaraz, Huang & Rome, 2018). With the rise of cloud adoption, many IT professionals have come to believe that cloud solution is the primary area of ​​insecurity. They cite many reasons, many of which are true. For example, having large amounts of sensitive data makes it a 'Disneyland' for hackers. To cope with these situations and the low likelihood of infringement, artificial intelligence and machine learning applications come into the picture to enhance cloud security. Karthic, Sujatha & Praveenkum, 2012 in their study states that Artificial intelligence is software that can solve a problem and think like a human, but it runs on machine learning algorithms to learn from data sets (Karthic, Sujatha & Praveenkum, 2012). It follows the concept of 'more pleasing', the more data it analyzes and processes, the more valuable the insights. With artificial intelligence and machine learning technology handled regularly throughout the day and basic levels of security checked, human security teams are free to focus on critical or complex threats. Technology is not supposed to replace human analysts because cyber-attacks can occur from both humans and machines and therefore require a response from both. However, this will give the workload more priority and make the tasks more efficiently completed (Bhardwaj & Goundar, 2019).
Cyber security framework with artificial intelligence for cloud computing
An Audit of the literature reveals that there is the several works that have studied cloud security problems. All works provides a qualitative discussion of safety issues in the CC environment, which provide a rapid analysis moreover survey of safety issues. Le & Hoang study states that in fact, they expand qualitative safety management and deploy some security strategies (countermeasures) on cloud computing environments) (Le & Hoang, 2017). Ensures data privacy, integrity and authentication To do so, a framework for cloud security solutions is proposed - in fact they can provide safety architecture moreover essential security methods for a cloud computing infrastructure (Duncan & Whittington, 2012). Architecture includes various security plans, protocols and techniques for a cloud computing, especially infrastructure-as-service. According to study done by Trappe & Straub, 2018, in a Platform-AS-Service (PAS) systems this will make it easier to manage and provide cloud systems more efficiently, with administrators only using new components and digital transformation for the most part, to keep certain solutions to the security issue and remain competitive (Trappe & Straub, 2018). In recent years, this trend has changed due to the dramatic developments in digital technology and cloud computing.
Today, businesses need to be professional and just have to use most recent technology to stay in business. Companies that make banking, online retail, as well as different services a reality do not think of this as another course to increase the revenue of the channel (Gai, Qiu & Hassan, 2016). They have realized that online service is quickly switching to their important income channels. According to data from Forrester's report analyzed more than three months ago, digital business...