Big data and edge intelligence for enhanced cyber defense principles and research / edited by Ranjit Panigrahi, Victor Hugo C. de Albuquerque, Akash Kumar Bhoi, Hareesha K.S. and Parvathaneni Naga Srinivasu.

Format Electronic
EditionFirst edition.
Publication InfoBoca Raton : CRC Press/Taylor & Francis Group, 2024.
Descriptionxi, 187 pages : illustrations ; 25 cm.
Supplemental ContentFull text available from eBooks on EBSCOhost
Subjects

Other author/creatorPanigrahi, Ranjit, 1979-
Other author/creatorDe Albuquerque, Victor Hugo C.
Other author/creatorBhoi, Akash Kumar.
Other author/creatorK.S., Hareesha.
Other author/creatorSrinivasu, Parvathaneni Naga, 1990-
SeriesEdge AI in future computing
Partial contents Challenges, existing strategies, and new barriers in IoT vulnerability assessment for sustainable computing / R. Delshi Howsalya Devi, Chithra G. K., Sharmila S, Rajesh PK, Niveditha -- Internet of Things intrusion detection system : a systematic study of artificial intelligence, deep learning and machine learning approaches / Joseph Bamidele Awotunde.
Abstract "An unfortunate outcome of the growth of the internet and mobile technologies has been the challenge of countering cybercrime. This book introduces and explains the latest trends and techniques of Edge Artificial Intelligence (EdgeAI) intended to help cyber security experts design robust Cyber Defense Systems (CDS), including host based and network based intrusion detection system and digital forensic intelligence. This book discusses the direct confluence of EdgeAI with big data, as well as demonstrating detailed reviews of recent cyber threats and their countermeasure"-- 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 2023058862
ISBN9781032104072 (hbk.)
ISBN9781032104850 (pbk.)
ISBN(ebk.)

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