cybersecurity – Jupiter Publications Consortium https://jpc.in.net Best Publishing House in India Thu, 10 Apr 2025 04:32:25 +0000 en-US hourly 1 https://wordpress.org/?v=6.8 https://i0.wp.com/jpc.in.net/wp-content/uploads/2023/07/logo-Copy.png?fit=32%2C32&ssl=1 cybersecurity – Jupiter Publications Consortium https://jpc.in.net 32 32 221206694 Generative AI for Cybersecurity: Threat Simulation and Anomaly Detection https://jpc.in.net/product/generative-ai-for-cybersecurity-threat-simulation-and-anomaly-detection/ https://jpc.in.net/product/generative-ai-for-cybersecurity-threat-simulation-and-anomaly-detection/#respond Thu, 10 Apr 2025 04:17:01 +0000 https://jpc.in.net/?post_type=product&p=25441 Dr. S. Mathivilasini Dr. D. Sridevi Dr. B. Anandapriya Copyright 2025 © Jupiter Publications Consortium All rights reserved ISBN: 978-93-86388-79-7 First Published: 1st April, 2025 DOI: www.doi.org/10.47715/978-93-86388-79-7 Price: 350/- No. of. Pages: 216 Jupiter Publications Consortium Chennai, Tamil Nadu, India E-mail: director@jpc.in.net Website: www.jpc.in.net]]> ABSTRACT

The need for intelligent and adaptive cyber security solutions is critical due to the ever evolving and complex nature of cyber threats. This monograph reveals the possibilities offered by generative AI models in cybersecurity, particularly in the areas of threat simulation and anomaly detection. In detail, it provides an overview of the present threat landscape and describes how generative models like GANs, VAEs, and Transformers can be used to perform sophisticated emulation, training data synthesis, real-time anomalous behavior detection, and attack detection. The work discusses also explores the design systems, methodologies, and ethics of generative AI model training that define its trustworthiness and governance. With the aid of interdisciplinary case studies and synthesis approaches, the monograph underscores the advanced potentials along with emerging vulnerabilities of employing generative AI in cyber defense operations. I hope this work becomes a starting point for researchers, practitioners, and strategists seeking to understand and aid in intelligent cyber defense leveraging AI.

Keywords: Generative AI, Cybersecurity, Threat Simulation, Anomaly Detection, GANs, VAEs, Transformers, Synthetic Data, Adversarial Attacks, Cyber Threat Intelligence, Behavioral Analysis, AI Ethics, Real-Time Monitoring, Deep Learning, Cyber Defense

 

How to Cite this Monograph:

Mathivilasini, S., Sridevi, D., & Anandapriya, B. (2025). Generative AI for Cybersecurity: Threat Simulation and Anomaly Detection. Jupiter Publications Consortium. ISBN: 978-93-86388-79-7. DOI: https://www.doi.org/10.47715/978-93-86388-79-7

]]> https://jpc.in.net/product/generative-ai-for-cybersecurity-threat-simulation-and-anomaly-detection/feed/ 0 25441 AI-DRIVEN INNOVATIONS IN INFORMATION SYSTEMS https://jpc.in.net/product/ai-driven-innovations-in-information-systems/ https://jpc.in.net/product/ai-driven-innovations-in-information-systems/#respond Thu, 27 Mar 2025 04:46:37 +0000 https://jpc.in.net/?post_type=product&p=25424 www.doi.org/10.47715/978-93-86388-55-1 Price: 375/- No. of. Pages: 242 Jupiter Publications Consortium Chennai, Tamil Nadu, India E-mail: director@jpc.in.net Website: www.jpc.in.net]]> ABSTRACT

Advancements in Artificial Intelligence (AI), such as machine learning, natural language processing, computer vision, and cloud computing, are presenting new possibilities in information systems technology by improving the management of data, decision-making processes, interaction interfaces, and cybersecurity. With a focus on an optimised AI information system, this monograph studies the evolution of AI information systems. It addresses data processing, decision-making, and cybersecurity AI optimisations. AI-powered personalisation interfaces, AI-powered trends, AI-infused IoT, quantum computing, and the ethics surrounding AI are addressed in the book as well. Profound case studies make the content relatable for numerous industries to aid researchers, academics, and specialists in
understanding information systems intertwined with the intelligence of AI.

Keywords:

Artificial Intelligence, Information Systems, Machine Learning, Data Management, Decision Support Systems, Cybersecurity, Natural Language Processing, Cloud Computing, AI-driven Innovations, Emerging Technologies

How to Cite this Book:

Kanya, N., Rajavarman, V. N., & Pavan, S. (2025). AI-driven innovations in information systems. Jupiter Publications Consortium. https://doi.org/10.47715/978-93-86388-55-1

]]> https://jpc.in.net/product/ai-driven-innovations-in-information-systems/feed/ 0 25424 Artificial Intelligence (AI) and Machine Learning (ML) for Cybersecurity https://jpc.in.net/product/artificial-intelligence-ai-and-machine-learning-ml-for-cybersecurity/ https://jpc.in.net/product/artificial-intelligence-ai-and-machine-learning-ml-for-cybersecurity/#respond Tue, 19 Mar 2024 06:24:57 +0000 https://jpc.in.net/?post_type=product&p=25329 https://doi.org/10.47715/ 978-93-91303-52-5 Pages: 250 (Front pages 14 & Inner pages 236) Price: 375/-]]> ABSTRACT
Cybersecurity threats are evolving, becoming more complex and challenging to thwart with traditional security protocols. In response, organizations are increasingly leveraging advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML) to enhance their defensive mechanisms. This book serves as an exhaustive guide on the application of AI and ML within the realm of cybersecurity. It aims to furnish readers with a deep understanding of AI and ML fundamentals alongside their practical utility in cybersecurity domains. Structured into ten comprehensive chapters, the text systematically addresses the integration of AI and ML across various cybersecurity functions including malware defense, threat intelligence, network security, and more. Initial chapters introduce the core principles of AI and ML in cybersecurity, progressing to elaborate on their roles in enhancing traditional cybersecurity approaches through real-world case studies. This book elucidates the transformative potential of AI and ML in fortifying cybersecurity measures, equipping readers with the knowledge to navigate the current landscape and anticipate future technological advancements. Targeted at a broad audience, from industry professionals to academics and cybersecurity aficionados, this text demystifies the intersection of AI, ML, and cybersecurity, offering indispensable insights into leveraging these technologies for robust cybersecurity solutions.

Keywords: cybersecurity, artificial intelligence, machine learning, threat intelligence, malware detection, network security, incident response, security analytics, compliance, application security, cloud security.

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