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Deep learning strategies for securit...
~
Sagayam, K. Martin, (1987-)
Deep learning strategies for security enhancement in wireless sensor networks
Record Type:
Electronic resources : Monograph/item
Title/Author:
Deep learning strategies for security enhancement in wireless sensor networksK. Martin Sagayam, Bharat Bhushan, Diana Andrushia, Victor Hugo C. de Albuquerque, editors.
other author:
Sagayam, K. Martin,
Published:
Hershey, PA :Information Science Reference,[2020]
Description:
1 online resource (xxiii, 405 p.)
Subject:
Wireless sensor networksSecurity measures.
Online resource:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-5068-7
ISBN:
cam a2200229 a 4500
Deep learning strategies for security enhancement in wireless sensor networks
Deep learning strategies for security enhancement in wireless sensor networks
[electronic resource] /K. Martin Sagayam, Bharat Bhushan, Diana Andrushia, Victor Hugo C. de Albuquerque, editors. - Hershey, PA :Information Science Reference,[2020] - 1 online resource (xxiii, 405 p.)
Includes bibliographical references and index.
Deep learning strategies for security enhancement in wireless sensor networks / K. Martin Sagayam, Karunya Institute of Technology and Sciences, India, Bharat Bhushan, Birla Institute of Technology, Mesra, Ranchi, India, Diana Andrushia, Karunya Institute of Technology and Sciences, India, Victor Hugo C. de Albuquerque, Universidade de Fortaleza · Department of Computer Science, Brazil -- The threat of intelligent attackers using deep learning : The backoff attack case / Juan Parras, Information Processing and Telecommunications Center, Universidad Politécnica de Madrid, Spain, Santiago Zazo, Information Processing and Telecommunications Center, Universidad Politécnica de Madrid, Spain -- A Speed Control Based Big Data Collection Algorithm (SCBDCA) using clusters and portable sink WSNs / Rajkumar K, PSNA College of Engineering and Technology, India, Jeyalakshmi V, College of Engineering Guindy, Chennai, India, Ebenezer V, Karunya Institute of Technology and Sciences, India, Ramesh G, KLN College of Engineering, India.
"This book explores the theoretical and practical advancements of security protocols in wireless sensor networks using artificial intelligence-based techniques"--
ISBN: cam a2200229 a 4500
LCCN: 2020002718Subjects--Topical Terms:
618442
Wireless sensor networks
--Security measures.
LC Class. No.: TK7872.D48 / D39 2020
Dewey Class. No.: 006.2/558
Deep learning strategies for security enhancement in wireless sensor networks
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K. Martin Sagayam, Bharat Bhushan, Diana Andrushia, Victor Hugo C. de Albuquerque, editors.
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Information Science Reference,
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Includes bibliographical references and index.
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Deep learning strategies for security enhancement in wireless sensor networks / K. Martin Sagayam, Karunya Institute of Technology and Sciences, India, Bharat Bhushan, Birla Institute of Technology, Mesra, Ranchi, India, Diana Andrushia, Karunya Institute of Technology and Sciences, India, Victor Hugo C. de Albuquerque, Universidade de Fortaleza · Department of Computer Science, Brazil -- The threat of intelligent attackers using deep learning : The backoff attack case / Juan Parras, Information Processing and Telecommunications Center, Universidad Politécnica de Madrid, Spain, Santiago Zazo, Information Processing and Telecommunications Center, Universidad Politécnica de Madrid, Spain -- A Speed Control Based Big Data Collection Algorithm (SCBDCA) using clusters and portable sink WSNs / Rajkumar K, PSNA College of Engineering and Technology, India, Jeyalakshmi V, College of Engineering Guindy, Chennai, India, Ebenezer V, Karunya Institute of Technology and Sciences, India, Ramesh G, KLN College of Engineering, India.
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"This book explores the theoretical and practical advancements of security protocols in wireless sensor networks using artificial intelligence-based techniques"--
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Wireless sensor networks
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1987-
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-5068-7
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EB TK7872.D48 D39 2020 [2020]
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-5068-7
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