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Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks, 1st ed. 2018

Langue : Anglais
Couverture de l’ouvrage Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks

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.

Introduction.- Background.- Abnormality Identification and Confirmation System.-  First-Order Abnormalities: Agent Transmission Optimization.- Cross-Layer Identification and Transmission of Agent Using Fuzzy Logic.- Conclusions.

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

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

Date de parution :

Ouvrage de 139 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

52,74 €

Ajouter au panier

Date de parution :

Ouvrage de 139 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

52,74 €

Ajouter au panier

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