Название: Cross-Industry Applications of Cyber Security Frameworks
Автор: Sukanta Kumar Baral, Richa Goel, Md Mashiur Rahman, Jahangir Sultan
Издательство: IGI Global
Год: 2022
Страниц: 265
Язык: английский
Формат: pdf (true), epub
Размер: 25.9 MB

Data is the most important commodity, which is why data protection has become a global priority. Data breaches and security flaws can jeopardize the global economy. Organizations face a greater risk of failing to achieve strategy and business goals as cyber threat behavior grows in frequency, sophistication, and destructiveness. A breach can result in data loss, business interruption, brand and reputation harm, as well as regulatory and legal consequences. A company needs a well-thought-out cybersecurity strategy to secure its critical infrastructure and information systems in order to overcome these challenges. Cross-Industry Applications of Cyber Security Frameworks provides an understanding of the specific, standards-based security controls that make up a best practice cybersecurity program. It is equipped with cross-industry applications of cybersecurity frameworks, best practices for common practices, and suggestions that may be highly relevant or appropriate in every case.

The last few years are known to be the era of digitization, which also focuses on Industry 4.0. On one side these latest tools and techniques like IoT, big data analytics, blockchain help the organizations to make better decision making and better future predictions in terms of processes and services, on the other hand, it also leads to the new problem known as cyber-crime. Keeping data on the cloud and processing it using cloud-based technology gives more opportunities to hackers to misuse things. Many governments and organizations invest in huge amounts to train their employees and save their data from such cyber-crimes.

Chapter 2 talks about the role of Artificial Intelligence (AI) on cybersecurity and its control. Nowadays, cyber security is paramount in all aspects of life, particularly in digital technology. Stories of Artificial Intelligence and data breaches, ID theft, cracking the security code, operating machines with remote sensors, and other such incidents abound, affecting millions of individuals and organizations. The problems in developing appropriate controls and processes and applying them with utmost precision to combat cyber-attacks & crimes have always been unending. With recent advances in Artificial Intelligence, the ever-increasing danger of cyber-attacks and crimes has grown tremendously. It has been used in nearly every branch of research and engineering. AI has sparked a revolution in everything from health care to robotics. This ball of fire could not be kept away from cyber thieves, and therefore "normal" cyber-attacks have evolved into "intelligent" cyber-attacks. The authors of this paper attempt to discuss prospective Artificial Intelligence approaches to use such strategies in cyber security for expecting outcome-based conclusions related to future research work.

Covering topics such as legal frameworks, cybersecurity in FinTech, and open banking, this premier reference source is an essential resource for executives, business leaders, managers, entrepreneurs, IT professionals, government officials, hospital administrators, educational administrators, privacy specialists, researchers, and academicians.






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