Transparent Peer Review By Scholar9
The Role of Artificial Intelligence in Cyber Security
Abstract
Cybersecurity has become a significant concern in the digital era. Data breaches, identity theft, cracking captchas, and other such incidents have affected millions of individuals and organizations. The challenges are manifold, involving the creation and implementation of effective controls and procedures to combat cyberattacks and crimes. The risk of such attacks has exponentially increased with recent advancements in artificial intelligence (AI), which has been applied across various scientific and engineering fields. From healthcare to robotics, AI has revolutionized multiple domains. Unfortunately, this technological progress has not been ignored by cybercriminals, resulting in the emergence of "intelligent" cyberattacks. In this chapter, the authors discuss promising AI techniques and their applications in cybersecurity, concluding with a discussion on the future scope of AI in this area.
Rajas Paresh Kshirsagar Reviewer
08 Oct 2024 05:47 PM
Approved
Relevance and Originality
The chapter addresses a pressing and highly relevant issue in today's digital landscape—cybersecurity in the context of evolving artificial intelligence (AI) technologies. The exploration of AI's dual role as both a tool for enhancing security and a potential vector for cyberattacks is original and timely. By analyzing current threats and proposing AI-driven solutions, the authors contribute valuable insights to the ongoing discourse, making the work significant for both researchers and practitioners in the cybersecurity field.
Methodology
The methodology presented in the chapter appears robust, leveraging a combination of literature review and case studies to explore the application of AI techniques in cybersecurity. This approach allows for a comprehensive understanding of the subject matter. However, the authors could enhance their methodology by detailing the selection criteria for the studies reviewed and discussing any limitations encountered in their analysis. A clearer framework for assessing the effectiveness of different AI techniques would also strengthen the methodological rigor.
Validity & Reliability
The validity of the findings seems strong, as the chapter is rooted in established research and real-world examples of AI applications in cybersecurity. The emphasis on emerging threats and corresponding AI solutions lends credibility to the conclusions drawn. However, including empirical data or quantitative analyses to support claims about the effectiveness of these AI techniques would bolster the overall reliability. Addressing potential biases in the literature and presenting a balanced view of the challenges would further enhance the credibility of the work.
Clarity and Structure
The chapter is generally well-structured, with a logical progression that guides readers through the complexities of AI and cybersecurity. Each section builds on the previous one, facilitating comprehension. Nonetheless, some technical terminology may pose challenges for readers less familiar with AI concepts. Simplifying language and providing definitions for key terms could improve accessibility, ensuring the content is understandable to a broader audience, including those outside the cybersecurity domain.
Result Analysis
The analysis of results effectively highlights the potential of AI techniques in addressing contemporary cybersecurity challenges. The authors do a commendable job of outlining both the benefits and risks associated with AI in this context. However, the discussion would benefit from more in-depth case studies or quantitative metrics that illustrate the real-world effectiveness of these AI solutions. Additionally, exploring specific scenarios or examples of successful implementations could provide practical insights, further illustrating the future scope of AI in enhancing cybersecurity measures.
IJ Publication Publisher
Ok Sir
Rajas Paresh Kshirsagar Reviewer