The fusion of artificial intelligence and soft computing techniques for cybersecurity / edited by M. A. Jabbar, Sanju Tiwari, Subhendu Kumar Pani, Stephen Huang.

Format Electronic
Edition1st edition.
Publication InfoPalm Bay : Apple Academic Press, 2024.
Descriptionpages cm
Supplemental ContentFull text available from eBooks on EBSCOhost
Subjects

Other author/creatorJabbar, M.
Other author/creatorTiwari, Sanju, 1979-
Other author/creatorPani, Subhendu Kumar, 1980-
Other author/creatorHuang, Stephen (Lecturer in computer science)
SeriesAAP advances in artificial intelligence and robotics
Contents An insight into cyber security during the COVID-19 pandemic / Rayeesa Tasneem and M. A. Jabbar -- Cyber-attack surges in the covid scenario : reasons and consequences / Neeranjan Chitare, Maitreyee Ghosh, Shankru Guggari, and M. A. Jabbar -- IoT in security : impact and challenges during the pandemic / Sonia Sharma -- Mobile app development privacy and security check list during COVID-19 / Hena Iqbal, Tanjin Sikder, Yasmin Alhayek, Noora Alfurais, and Nujuom Assar P -- Cloud and edge computing security using artificial intelligence and soft computing techniques / N. S. Gowri Ganesh, R. Roopa Chandrika, and A. Mummoorthy -- Security in IoT using artificial intelligence / Sanchari Saha -- Cyber security for intelligent systems / Abinaya Inbamani, N. Divya, R. R. Rubia Gandhi, M. Karthik, and M. Sivaram Kumar -- Analysis of advance manual detection and robust prevention of cross-site scripting in web-based services / Smit Sawant, Gaurav Choudhary, Shishir Kumar Shandilya, Lokesh Giripunje, and Vikas Sihag -- Soft computing techniques for cyber-physical systems / R. R. Rubia Gandhi, Abinaya Inbamani, N. Divya, M. Karthik, and E. Ramya -- Cyber security using machine learning approaches : a systematic review / Mohan Kumar K. N. and Pavan Kumar E. -- Efficient vehicle tracking system in dense traffic to enhance security / Bharathi S., Amisha R. Naik, and Piyush Kumar Pareek -- Optimized analysis of network forensic attacks using an enhanced growing neural gas (GNG) clustering technique / A. Dhanu Saswanth, V. Kavitha, B. Sundaravadivazhagan, and R. Karthikeyan -- Security in IoT : systematic review / K. Tejasvi, Ruqqaiya Begum, and M. A. Jabbar.
Abstract "With the ever-increasing threat of cyber-attacks, especially as the COVID-19 pandemic helped to ramp up the use of digital communications technology, there is a continued need to find new ways to maintain and improve cybersecurity. This new volume investigates the advances in artificial intelligence and soft computing techniques in cybersecurity. It specifically looks at cybersecurity during the COVID-19 pandemic, the use of cybersecurity for cloud intelligent systems, applications of cybersecurity techniques for web applications, and cybersecurity for cyber-physical systems. A diverse array of technologies and techniques are explored for cybersecurity applications, such as the Internet of Things, edge computing, cloud computing, artificial intelligence, soft computing, machine learning, cross-site scripting in web-based services, neural gas (GNG) clustering technique, and more. The volume gives special attention to the impact of the cyber-attack surge during COVID on healthcare and business organizations and the emerging cybersecurity technologies aimed to provide better cybersecurity, including security challenges in mobile app development. The book also looks at cloud and edge computing security using artificial intelligence and soft computing techniques. Various integration technologies with regards to cyber-physical systems are also described as well as applications of cybersecurity using machine learning approaches. Other chapters look at an efficient vehicle tracking system to enhance security, network forensic attacks using an enhanced growing neural gas (GNG) clustering technique, and more. An audit chapter aggregates data from other sources papers regarding IoT, AI, and cyber-assaults. The Fusion of Artificial Intelligence and Soft Computing Techniques for Cybersecurity is written for a broad audience of those interested in the applications of artificial intelligence in cybersecurity, including professionals, policymakers, business leaders, network administrators, and many others"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2023055232
ISBN9781774914809 (hardcover)
ISBN9781774914816 (paperback)
ISBN(ebook)

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