Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kumar, Kukatlapalli Pradeep; Zurek-Mortka, Marta; Pillai, Vinay Jha Title A name given to the resource SECURITY VIEWPOINT IN ARTIFICIAL INTELLIGENCE-BASED SYSTEMS Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Attacks on Artificial Intelligence: The New Facets of Cyber Ecospace;pp.91-104 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105018283533?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018283533?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kumar K.P., Department of Computer Science Engineering, School of Engineering and Technology, Christ Deemed-to-be University, Kengeri Campus, Bangalore, India; Zurek-Mortka M., Department of Control Systems, Lukasiewicz Research NetworkInstitute for Sustainable Technologies, Radom, Poland; Pillai V.J., Departmenrt of Electronics and Communication Engineering, School of Engineering and Technology, Christ University, Bangalore, India Description An account of the resource Artificial intelligence (AI) is playing a key role in recent times linked with automation in almost all the fields on human interference and inventions. Industry 4.0 also signifies automation as one of the major aspects from its allies. However, on the other hand, issues and security concerns are at high priority in these systems and often are seen ignored as the AI systems are evolving as state-of-the-art technology. In this chapter, we focus on elaborating security vulnerabilities in AI-based infrastructure, explain the relation between AI attacks and cyber-attacks, and describe the sustained AI systems with inherited resilience. Case study is also considered to elicit threats and vulnerable issues associated with AI-based systems. Securing artificial intelligence and its associated techniques help in better outcomes which are tightly coupled with human monitored and controlled environments. AI algorithms need to be checked for accuracy in prediction model contexts on the evolution of technology for sustaining adversarial attacks. 2026 by Apple Academic Press, Inc. Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104009235-4; 978-177491622-3; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online