Artificial Intelligence and Security Challenges in Emerging Networks. Dieser Artikel ist nicht verfügbar.Artificial Intelligence and Security Challenges in Emerging Networks

The recent rise of emerging networking technologies such as social networks, content centric networks, Internet of Things networks, etc, have attracted significant attention from academia as well as industry professionals looking to utilize these technologies for efficiency purposes. However, the allure of such networks and resultant storage of high volumes of data leads to increased security risks, including threats to information privacy. Artificial Intelligence and Security Challenges in Emerging Networks is an essential reference source that discusses applications of artificial intelligence, machine learning, and data mining, as well as other tools and strategies to protect networks against security threats and solve security and privacy problems. Featuring research on topics such as encryption, neural networks, and system verification, this book is ideally designed for ITC procurement managers, IT consultants, systems and network integrators, infrastructure service providers, computer and software engineers, startup companies, academicians, researchers, managers, and students.

Ryma Abassi received her engineering degree in Networks & Telecommunications in 2004, and her MSc and PhD degrees from the Higher Communication School, Sup’Com in 2006 and 2010, respectively. Currently, she is an Assistant Professor and the Associate Director at ISET'Com and member of the “Digital Security” unit at SUP’Com. Dr Ryma Abassi was a Fulbright scholar at Tufts University, MA, USA where she worked on formal methods for security protocols validation. Moreover, she obtained the SSHN grant two times in 2014 and 2017 and is a visiting professor at University of Limoges. Her current researches are focusing on MANET/VANET security, trust management, security protocols validation, IoT security, etc. She has more than 30 publications in impacted journals and classified conferences and is co-supervising four PhD students.