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{ "item_title" : "Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks", "item_author" : [" Muhammad Usman", "Vallipuram Muthukkumarasamy", "Xin-Wen Wu "], "item_description" : "Puts forward a detailed mobile agent-enabled anomaly detection and verification system for resource constrained sensor networksIncludes a number of algorithms on multi-aspect anomaly detection in sensor networksPresents several algorithms on mobile agent transmission optimization in resource constrained sensor networksHighlights an algorithm on mobile agent-enabled in situ verification of anomalous sensor nodesOffers a detailed Petri Net-based formal modeling and analysis of the proposed systemIncludes an algorithm on fuzzy logic-based cross-layer anomaly detection and mobile agent transmission optimization", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/81/135/640/9811356408_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks|Muhammad Usman

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

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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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Details

  • ISBN-13: 9789811356407
  • ISBN-10: 9811356408
  • Publisher: Springer
  • Publish Date: January 2019
  • Dimensions: 9.21 x 6.14 x 0.35 inches
  • Shipping Weight: 0.53 pounds
  • Page Count: 139

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