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Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks

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  • © 2018

Overview

  • Puts forward a detailed mobile agent-enabled anomaly detection and verification system for resource constrained sensor networks
  • Includes a number of algorithms on multi-aspect anomaly detection in sensor networks
  • Presents several algorithms on mobile agent transmission optimization in resource constrained sensor networks
  • Highlights an algorithm on mobile agent-enabled in situ verification of anomalous sensor nodes
  • Offers a detailed Petri Net-based formal modeling and analysis of the proposed system
  • Includes an algorithm on fuzzy logic-based cross-layer anomaly detection and mobile agent transmission optimization

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Table of contents (6 chapters)

Keywords

About this book

This book presents the latest developments regarding a detailed mobile agent-enabled anomaly detection and verification system for resource constrained sensor networks; a number of algorithms on multi-aspect anomaly detection in sensor networks; several algorithms on mobile agent transmission optimization in resource constrained sensor networks; an algorithm on mobile agent-enabled in situ verification of anomalous sensor nodes; a detailed Petri Net-based formal modeling and analysis of the proposed system, and an algorithm on fuzzy logic-based cross-layer anomaly detection and mobile agent transmission optimization. As such, it offers a comprehensive text for interested readers from academia and industry alike.

Authors and Affiliations

  • Department of Computer Sciences, Quaid-I-Azam University , Islamabad, Pakistan

    Muhammad Usman

  • School of Information & Communication Technology, Griffith University , Gold Coast, Australia

    Vallipuram Muthukkumarasamy

  • School of Information & Communication Technology, Griffith University, Gold Coast, Australia

    Xin-Wen Wu

  • Department of Computer Sciences, Quaid-I-Azam University, Islamabad, Pakistan

    Surraya Khanum

About the authors

Dr. Muhammad Usman

Muhammad Usman received his Ph.D. degree from the School of Information and Communication Technology, Griffith University, Australia. He has obtained Juniper Networks, USA, certifications as an internet specialist and internet associate in enterprise routing and switching. He is a member of the Network Security Research Group and the Institute for Integrated and Intelligent Systems (IIIS), Griffith University, Australia. He is also a member of the Computer Science Teacher Association endorsed by the Association for Computing Machinery (ACM), USA. He is currently associated with the Department of Computer Sciences, Quaid-I-Azam University, Pakistan, as an Assistant Professor. His current research interests are Security and Privacy, Cloud Computing, Internet of Things, Distributed Systems, and Modeling and Analysis. He has published over twenty five research papers for international journals and conferences including prestigious journals such as IEEE Transactions on Consumer Electronics. He has been a recipient of several honors, awards, and grants throughout his industrial and academic career.

 Vallipuram Muthukkumarasamy

Vallipuram Muthukkumarasamy obtained his B.Sc. in Engineering from the University of Peradeniya, Sri Lanka and his Ph.D. from Cambridge University, England. He is currently attached to the School of Information and Communication Technology, Griffith University, Australia as an Associate Professor. His current research areas include the investigation of security issues in wireless networks, sensor networks, trust management in mobile ad hoc networks (MANETs), key establishment protocols and medical sensors. He currently heads the Network Security Research Group at the Institute for Integrated and Intelligent Systems at Griffith University. Also providing leadership with regard to innovative learning and teaching practices, he has received a number of best teacher awards.

Dr. Xin-Wen Wu

Xin-Wen Wu received his Ph.D. degree from the Chinese Academy of Sciences, Beijing. He has worked in the University of California at San Diego (as a postdoctoral researcher), the Chinese Academy of Sciences, and the University of Melbourne (as a research fellow). He was also affiliated with the University of Ballarat, Australia. He joined Griffith University, Australia, in 2010, as a faculty member at the School of Information and Communication Technology. His research interests include cyber security and data privacy, applied cryptography, coding techniques, and information theory and its applications. He has published extensively in these areas, including three books and over eighty research papers in leading journals of IEEE, Springer, and Elsevier, in addition to proceedings of international conferences. He is a senior member of IEEE.

 Ms. Surraya Khanum

Surraya Khanum received her M.S. (Computer Science) from International Islamic University,Islamabad, Pakistan. She has been associated with Griffith University, Australia as a visiting research associate. She has also worked as a Lecturer at King Khalid University, Saudi Arabia and as a Visiting Lecturer at Department of Computer Sciences, Quaid-I-Azam University, Pakistan. She has published numerous research papers, predominantly in the domains of mobile agent-based distributed systems and intrusion detection systems.

Bibliographic Information

  • Book Title: Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks

  • Authors: Muhammad Usman, Vallipuram Muthukkumarasamy, Xin-Wen Wu, Surraya Khanum

  • DOI: https://doi.org/10.1007/978-981-10-7467-7

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Singapore Pte Ltd. 2018

  • Hardcover ISBN: 978-981-10-7466-0Published: 12 February 2018

  • Softcover ISBN: 978-981-13-5640-7Published: 04 January 2019

  • eBook ISBN: 978-981-10-7467-7Published: 31 January 2018

  • Edition Number: 1

  • Number of Pages: XXI, 139

  • Number of Illustrations: 28 b/w illustrations, 12 illustrations in colour

  • Topics: Information Systems Applications (incl. Internet), Mathematical Logic and Formal Languages, Mobile Computing

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