Generative AI for Cybersecurity Applications in Threat Simulation and Defense DOI
Yousef Sanjalawe, Salam Al-E’mari, Sharif Naser Makhadmeh

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 263 - 304

Published: April 23, 2025

The integration of generative AI in cybersecurity marks a transformative leap combating the growing complexity cyber threats. This chapter examines models like adversarial networks, variational autoencoders, and transformers, showcasing their role threat simulation, synthetic data generation, anomaly detection. Applications discussed include proactive defense testing, malware analysis, intrusion detection, highlighting AI's ability to predict, detect, mitigate sophisticated attacks. Emerging techniques, such as federated learning hybrid models, promise further advancements. However, poses challenges, including misuse vulnerabilities. Addressing these risks requires ethical guidelines, robust frameworks, collaboration. With its predictive adaptive potential, is reshaping cybersecurity, enabling resilient intelligent defenses for digital age.

Language: Английский

Future Trends in AI Security DOI
Siva Raja Sindiramutty, N. Z. Jhanjhi, Navid Ali Khan

et al.

Advances in information security, privacy, and ethics book series, Journal Year: 2025, Volume and Issue: unknown, P. 229 - 262

Published: Feb. 14, 2025

Cybersecurity is enriched due to Artificial Intelligence (AI), which provides better real-time threat detection and anomaly identification, response systems. As attackers grow more sophisticated leverage AI in creating malware. The present study gives an overview of the future threats associated with AI-driven attacks challenges faced by existing cybersecurity countermeasures. Additionally, it also analyses feasibility using capabilities like predictive intelligence, advanced quantum computing for some these emerging threats. For such as, we need user permissions rights on this application, should take into consideration privacy policies while designing security as well. To end, get ready against risks a proactive adaptive approach needed stressing collaboration between industry, academia well global entities.

Language: Английский

Citations

0
Future Trends in Generative AI for Cyber Defense DOI
Azeem Khan, N. Z. Jhanjhi,

Haji Abdul Hafidz bin Haji Omar

et al.

Advances in information security, privacy, and ethics book series, Journal Year: 2025, Volume and Issue: unknown, P. 135 - 168

Published: Feb. 14, 2025

The chapter entitled “Future Trends and Challenges in Cybersecurity Generative AI,” presents a comprehensive exploration of the changing dynamics at intersection between rapidly growing landscape interconnectivity various devices— Internet Things innovations piloted by advancements generative artificial intelligence. In following background-focused analysis, significance enactment new levels security details this fast-growing virulently expansive is emphasized, with AI ultimately serving as highlight. conversation consequently shifts to threats. This includes detailed depiction cybersecurity threats rooted AI, featuring malicious actors incidents, such increasingly popular phenomenon ransomware-as-a-service mirror illustrations dynamic multifaceted character these

Language: Английский

Citations

0
Value Co-Creation DOI
Melissa Liow Li

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 103 - 132

Published: April 18, 2025

The book chapter applies managerial and marketing theories to examine value co-creation, drawing from Service-Dominant Logic, Service Science, Co-creation of Services (CCOS), the Viable Systems Approach (VSA) reinterpret this concept in digital era. It integrates VSA's Intelligence Augmentation (IA) Information Variety Model (IVM) into its research framework. CCOS emphasizes customer participation expertise enhancing service experiences. explores AI's role ecosystems, focusing on how voluntary can moderate impact influencing perceived benefits risks affecting repeat adoption AI-driven platforms.

Language: Английский

Citations

0
Generative AI for Cybersecurity Applications in Threat Simulation and Defense DOI
Yousef Sanjalawe, Salam Al-E’mari, Sharif Naser Makhadmeh

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 263 - 304

Published: April 23, 2025

The integration of generative AI in cybersecurity marks a transformative leap combating the growing complexity cyber threats. This chapter examines models like adversarial networks, variational autoencoders, and transformers, showcasing their role threat simulation, synthetic data generation, anomaly detection. Applications discussed include proactive defense testing, malware analysis, intrusion detection, highlighting AI's ability to predict, detect, mitigate sophisticated attacks. Emerging techniques, such as federated learning hybrid models, promise further advancements. However, poses challenges, including misuse vulnerabilities. Addressing these risks requires ethical guidelines, robust frameworks, collaboration. With its predictive adaptive potential, is reshaping cybersecurity, enabling resilient intelligent defenses for digital age.

Language: Английский

Citations

0