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

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

English | PDF,EPUB | 2018 | 154 Pages | ISBN : 9811074666 | 7.02 MB

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.

Download:

http://longfiles.com/bq1fq0jmy3mw/Mobile_Agent-Based_Anomaly_Detection_and_Verification_System_for_Smart_Home_Sensor_Networks.rar.html

[Fast Download] Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks


Ebooks related to "Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks" :
ICT Based Innovations: Proceedings of CSI 2015
Systems and Frameworks for Computational Morphology
CCNP BCRAN Exam Certification Guide
Communication Systems and Networks: 9th International Conference
Advanced Technologies, Systems, and Applications II
Advanced Wireless Communications: 4G Cognitive and Cooperative Broadband Technologies
Principles of Spread-Spectrum Communication Systems
CCNA Command Guide: Routing and Switching Command Guide With Examples (CCNA, LAN, Command Guide, Net
Internet Science
Strategic Engineering for Cloud Computing and Big Data Analytics
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.