http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
1 online resource (xviii, 620 pages) : illustrations
Reflecting recent advancements, Security of Self-Organizing Networks: MANET, WSN, WMN, VANET explores wireless network security from all angles. It begins with a review of fundamental security topics and often-used terms to set the foundation for the following chapters. Examining critical security issues in a range of wireless networks, the book proposes specific solutions to security threats. Ideal for those with a basic understanding of network security, the text provides a clear examination of the key aspects of security in self-organizing networks and othe.
Machine generated contents note: pt. I GENERAL TOPICS: SECURITY OF WIRELESS AND SELF-ORGANIZING NETWORKS -- 1. Secure Device Association: Trends and Issues / Ian Wakeman -- 1.1. Introduction -- 1.2. Background -- 1.2.1. Attack Types in Device Association Model -- 1.2.1.1. Eavesdropping -- 1.2.1.2. MiTM Attack -- 1.2.1.3. DoS Attack -- 1.2.1.4. Bidding-Down Attack -- 1.2.1.5. Compromised Devices -- 1.2.2. Device Association in Ad Hoc Environments -- 1.2.2.1. Resurrecting Duckling Security Model -- 1.2.2.2. Talking to Strangers -- 1.2.2.3. Device Association Using Visual Out-of-Band Channels -- 1.2.2.4. Device Association Using Audio Out-of-Band Channels -- 1.2.2.5. Device Association Using Accelerometers -- 1.2.2.6. Device Association Using Radio Signals -- 1.2.2.7. Device Association Using Biometric Data -- 1.2.2.8. Button-Enabled Device Association (BEDA) -- 1.2.2.9. Bluetooth Pairing -- 1.2.2.10. Device Association Using Near-Field Communication Technology -- 1.2.2.11. Wireless Universal Serial Bus (WUSB) Association, WPS, and Windows Connect now-Net -- 1.2.3. Comparative Analysis of Device Association Methods -- 1.3. Future Directions for Research -- 1.4. Conclusions -- Acknowledgments -- Terminologies -- Questions and Sample Answers -- Author's Biography -- References -- 2. Securing Route and Path Integrity in Multihop Wireless Networks / Vallipuram Muthukkumarasamy -- 2.1. Introduction -- 2.1.1. IEEE 802.11 and IEEE 802.11s -- 2.1.2. Implementation Support -- 2.2. Background -- 2.2.1. Routing Protocols -- 2.2.1.1. Proactive Routing Protocols -- 2.2.1.2. Reactive Routing Protocols -- 2.2.2. Path-Selection Protocols -- 2.3. Securing Routing and Path Selection -- 2.3.1. Threat Model -- 2.3.1.1. Threats Posed by Outsider Attacks -- 2.3.1.2. Threats Posed by Compromised Nodes -- 2.3.2. Attacks against Routing and Path Selection -- 2.3.2.1. Rushing Attacks -- 2.3.2.2. Gray Holes and Black Holes -- 2.3.2.3. Wormholes -- 2.3.3. Defenses -- 2.3.3.1. Authenticated Routing -- 2.3.3.2. Pathrater/Watchdog -- 2.3.3.3. Packet Leashes -- 2.4. Future Directions for Research -- 2.4.1. Secure MAC Protocols -- 2.4.2. Distance-Bounding Protocols -- 2.4.3. Secure Neighbor Discovery -- 2.5. Conclusions -- Terminologies -- Questions and Sample Answers -- Author's Biography -- References -- 3. Handling Security Threats to the RFID System of EPC Networks / Evangelos Kranakis -- 3.1. Introduction -- 3.1.1. Background -- 3.2. Threat Analysis Methodology -- 3.3. Evaluation of Threats -- 3.3.1. Authenticity Threats -- 3.3.2. Integrity and Availability Threats -- 3.4. Survey of RFID Security Defences -- 3.4.1. Hardware-Based Primitives -- 3.4.2. Software Protocols -- 3.5. Future Directions for Research -- 3.6. Conclusions -- Acknowledgments -- Terminologies -- Questions and Sample Answers -- Author's Biography -- References -- 4. Survey of Anomaly Detection Algorithms: Toward Self-Learning Networks / Rumana Rahman -- 4.1. Introduction -- 4.2. Background -- 4.3. Future Directions for Research: Adaptive, Online Algorithms -- 4.3.1. Foundations -- 4.3.2. LS Estimation Techniques -- 4.3.2.1. Algorithms Using Updating of the Covariance Matrix -- 4.3.2.2. Algorithms Using Orthogonal Transformations -- 4.3.2.3. Algorithms Using Updating of the Information Matrix -- 4.3.2.4. Algorithms Using Updating and Downdating of the QR Decompositions -- 4.3.2.5. Error Analysis -- 4.3.2.6. Time-Varying Parameter Estimation -- 4.3.2.7. Applications -- 4.3.3. Kernel Versions of LS Techniques -- 4.3.4. Adaptive, Online Algorithms Based on LS Techniques -- 4.3.5. Other Online and Adaptive Algorithms -- 4.4. Conclusions -- Terminologies -- Questions and Sample Answers -- Author's Biography -- References -- 5. Reputation- and Trust-Based Systems for Wireless Self-Organizing Networks / Jaydip Sen -- 5.1. Introduction -- 5.2. Trust-Definition and Concepts -- 5.3. Trust in Wireless Self-Organizing Networks -- 5.3.1. Wireless Self-Organizing Networks -- 5.3.2. Misbehavior of Nodes -- 5.3.3. Effects of Nodes' Misbehavior -- 5.4. Reputation- and Trust-Based Systems -- 5.4.1. Trust and its Characteristics -- 5.4.2. Reputation Systems: Goals and Properties -- 5.4.3. Classification of Reputation- and Trust-Based Systems -- 5.5. Issues in Reputation Systems for Wireless Communication Networks -- 5.5.1. Information Gathering -- 5.5.2. Information Dissemination -- 5.5.3. Redemption and Weighting of Time -- 5.5.4. Weighting of Second-Hand Information -- 5.5.5. Spurious Ratings -- 5.5.6. Identity -- 5.5.7. Detection -- 5.5.8. Response -- 5.6. Examples of Reputation and Trust-based Models -- 5.6.1. Watchdog and Pathrater -- 5.6.2. Context-Aware Inference Mechanism -- 5.6.3. Trust-Based Relationship of Nodes in Ad Hoc Networks -- 5.6.4. Trust Aggregation Scheme -- 5.6.5. Trust Management in Ad Hoc Networks -- 5.6.6. Trusted Routing Schemes -- 5.6.7. Collaborative Reputation Mechanism in Mobile Ad Hoc Networks -- 5.6.8. Cooperation of Nodes-Fairness in Dynamic Ad Hoc Networks -- 5.6.9. Observation-Based Cooperation Enhancement in Ad Hoc Networks -- 5.6.10. Robust Reputation System -- 5.6.11. Reputation-Based Framework for High-Integrity Sensor Networks -- 5.6.12. Distributed Reputation-Based Beacon Trust System -- 5.7. Open Problems -- 5.8. Conclusion -- Terminologies -- Questions and Sample Answers -- Author's Biography -- References -- pt. II MOBILE AD HOC NETWORK AND VEHICULAR AD HOC NETWORK SECURITY -- 6. Security Threats in Mobile Ad Hoc Networks / Juan E.
Tapiador -- 6.1. Introduction -- 6.2. Background -- 6.2.1. Vulnerabilities of Manets -- 6.2.2. AODV Routing Protocol -- 6.3. Attacks on MANET -- 6.3.1. Adversary Model -- 6.3.2. Attacks -- 6.3.2.1. Passive Attacks -- 6.3.2.2. Active Attacks -- 6.4. Countermeasures -- 6.4.1. Prevention Techniques: Secure Routing -- 6.4.2. Intrusion Detection -- 6.4.2.1. Specification-Based Intrusion Detection -- 6.4.2.2. Anomaly-Based Intrusion Detection -- 6.4.2.3. Misuse-Based Intrusion Detection -- 6.4.2.4. Promiscuous Monitoring-Based Intrusion Detection -- 6.5. Future Directions for Research -- 6.6. Conclusions -- Terminologies -- Questions and Sample Answers -- Author's Biography -- References -- 7. Key Management in Mobile Ad Hoc Networks / Sumit Goswami -- 7.1. Introduction -- 7.1.1. MANET: Introduction and Application -- 7.1.2. Ad Hoc Network Security -- 7.1.3. Key Management -- 7.2. Background -- 7.2.1. Security Issues in Wired versus Ad Hoc Network -- 7.2.2. Design Issues -- 7.2.3. Key Management Challenges -- 7.3. Key Management in MANET -- 7.3.1. Hierarchical Model -- 7.3.2. Threshold Model -- 7.3.2.1. Threshold Public Key Management with Partially Distributed Authority -- 7.3.2.2. Distributed CA Based on Threshold Scheme -- 7.3.2.3. Public Key Management Based on Identity Threshold -- 7.3.3. Self-Organized Public Key Management -- 7.3.4. Mobile Ad Hoc Key Revocation Server Scheme -- 7.3.4.1. Discovery of MAKeRS in a ZoNA -- 7.3.4.2. Message Format for Neighbor Discovery -- 7.3.4.3. Server Discovery Algorithm -- 7.3.4.4. Protocols -- 7.4. Future Directions for Research -- 7.5. Conclusions -- Questions and Sample Answers -- 8. Combating against Security Attacks against Mobile Ad Hoc Networks (Manets) / Marcus Scholler -- 8.1. Introduction -- 8.2. Background: Attack Taxonomy -- 8.3. Network Layer Attacks against MANETs -- 8.3.1. Wormhole Attack -- 8.3.1.1. Countermeasures against the Wormhole Attack -- 8.3.2. Blackhole Attack -- 8.3.2.1. Countermeasures against the Blackhole Attack -- 8.3.3. Byzantine Attack -- 8.3.3.1. Byzantine Attack Prevention -- 8.3.4. Rushing Attack -- 8.3.4.1. Rushing Attack Solution -- 8.3.5. Resource Consumption Attack -- 8.3.5.1. Resource Consumption Attack Prevention -- 8.3.6. Link Withholding and Link-Spoofing Attacks -- 8.3.7. Replay Attacks -- 8.4. Transport Layer Attacks against MANET -- 8.4.1. SYN Flooding Attack -- 8.4.2. Session Hijacking Attack -- 8.5. Case Studies -- 8.5.1. Collusion Attack against OLSR-Based MANETs -- 8.5.2. Detecting Wormhole Attacks against OLSR Protocols -- 8.6. Open Issues and Future Directions of Research -- 8.6.1. Intrusion Detection and Prevention -- 8.6.2. Cryptographic Techniques -- 8.6.3. Resiliency -- 8.7. Conclusions -- Terminologies -- Questions and Sample Answers -- Author's Biography -- References -- 9. Classification of Attacks on Wireless Mobile Ad Hoc Networks and Vehicular Ad Hoc Networks: A Survey / Arobinda Gupta -- 9.1. Introduction -- 9.2. Attacks at the Physical Layer -- 9.3. Attacks at the MAC Layer -- 9.3.1. Selfish Misbehavior of Nodes -- 9.3.2. Malicious Behavior of Nodes -- 9.3.3. Other Classifications -- 9.3.3.1. Internal versus External Attacks -- 9.3.3.2. Active versus Passive Attacks -- 9.3.4. Discussion and Analysis -- 9.4. Attacks at the Network Layer -- 9.4.1. Other Classifications -- 9.4.2. Discussion and Analysis -- 9.5. Attacks at the Transport Layer -- 9.6. Attacks at the Application Layer -- 9.7. Attacks on VANET -- 9.8. Conclusion -- Terminologies -- Questions and Sample Answers -- Author's Biography -- References -- 10. Security in Vehicular Ad Hoc Networks / Mozaffar Afaque -- 10.1. Introduction -- 10.2. Vehicular Networks: An Overview -- 10.3. Background: Need for Security -- 10.3.1. Security Requirements -- 10.3.2. Challenges.
Note continued: 10.3.3. Adversaries -- 10.3.4. Attacks -- 10.3.5. VANET Properties Supporting Security -- 10.4. Security in VANETs -- 10.5. Central Authorities and Vehicular PKI -- 10.6. Secure Computing Platform: Hardware and Software for a Secure VANET Node -- 10.7. Implementing Message Authentication and Integrity Using Digital Signatures -- 10.8. How is Privacy and Identity Management being Handled -- 10.9. Certificate Revocation -- 10.10. Secure Aggregation of Data -- 10.11. Detection of Malicious Data and Secure Position Verification -- 10.12. Future Directions for Research -- 10.13. Conclusions -- Terminologies -- Questions and Sample Answers -- Author's Biography -- References -- 11. Toward a Robust Trust Model for Ensuring Security and Privacy in Vanets / Syed Ishtiaque Ahmed -- 11.1. Introduction -- 11.2. Background/Related Works -- 11.3. Trust Model for VANET Preliminaries -- 11.3.1. Characteristics of Trust Models and its Metrics -- 11.3.2. Objectives of VANETs -- 11.3.3. Components and Key Characteristics of VANETs -- 11.3.4. Adversary Model for VANETs -- 11.3.5. Salient Features of Trust Metrics in Distributed Systems and VANETs -- 11.4. State of the Art: Data Centric Trust Management Model -- 11.4.1. Preliminaries -- 11.4.2. Framework -- 11.4.3. Dynamic Factors -- 11.4.4. Decision Logic -- 11.4.4.1. Majority Voting -- 11.4.4.2. Most Trusted Report -- 11.4.4.3. Weighted Voting -- 11.4.4.4. Bayesian Inference -- 11.4.4.5. Dempster-Shafer Theory -- 11.4.4.6. Application of Decision Logic -- 11.5. Challenges and Questions -- 11.6. Future Directions -- 11.7. Conclusion -- Terminologies -- Questions and Sample Answers -- Author's Biography -- References -- 12. Sybil Attack in Vanets: Detection and Prevention / V. Laxmi -- 12.1. Introduction -- 12.2. VANET Architecture -- 12.3. Attacks on Vehicular Networks -- 12.3.1. Classification of Attackers -- 12.3.2. Types of Attacks -- 12.3.3. Security Requirements -- 12.4. Sybil Attack -- 12.5. Trust Establishment -- 12.5.1. Infrastructure-Based Trust Establishment -- 12.5.2. Dynamic Trust Establishment -- 12.5.2.1. History-Based Trust Establishment -- 12.5.2.2. Self-Certified Pseudonym-Based Trust Establishment -- 12.5.3. Analysis of Trust Establishment Approaches -- 12.6. Detection of Sybil Attack -- 12.6.1. Resource Testing -- 12.6.2. Public Key Cryptography -- 12.6.3. Passive Detection through Single Observer -- 12.6.4. Passive Detection through Multiple Observers -- 12.6.5. Sybil Node Detection by Propagation Model -- 12.6.6. Active Detection by Position Verification -- 12.6.7. Sensor-Based Position Verification -- 12.6.8. Analysis of Sybil Detection Solutions -- 12.7. Future Directions for Research -- 12.8. Conclusion -- Terminologies -- Questions and Sample Answers -- Author's Biography -- References -- pt. III WIRELESS SENSOR NETWORK SECURITY -- 13. Key Management Schemes of Wireless Sensor Networks: A Survey / Sungyoung Lee -- 13.1. Introduction -- 13.2. Background -- 13.3. Security Threats in Wireless Sensor Networks -- 13.4. Key Management -- 13.5. Future Directions of Research -- 13.6. Conclusions -- Terminologies -- Questions and Sample Answers -- Author's Biography -- References -- 14. Key Management Techniques for Wireless Sensor Networks: Practical and Theoretical Considerations / Yannis C. Stamatiou -- 14.1. Introduction and Background -- 14.1.1. Single Network-Wide Key -- 14.1.2. Pairwise Key Establishment Scheme -- 14.1.3. Random Key Predistribution -- 14.1.3.1. Basic Scheme -- 14.1.3.2. q-Composite Random Key Predistribution Scheme -- 14.1.4. Deterministic Key Distribution -- 14.1.5. Combinatorial Key Predistribution -- 14.1.5.1. Set-Based Constructions for Key Predistribution -- 14.1.5.2. Constructions Based on Hadamard Matrices -- 14.2. Advanced Concepts for Key Management and Trust in WSNs -- 14.2.1. Random Graph Models -- 14.2.2. Randomized Scheme Based on the Fixed Radius Model -- 14.2.2.1. Random Points in Euclidean Spaces -- 14.2.2.2. Key Predistribution Scheme Based on Random Points on Circular Disks -- 14.2.3. First-Order Language of Graphs -- 14.2.4. Second-Order Language of Graphs -- 14.2.5. Undecidable Probabilities -- 14.2.6. Set Systems Based on Special Polynomials -- 14.2.6.1. Some Definitions -- 14.2.6.2. BBR Polynomials -- 14.3. Conclusions -- Terminologies -- Questions and Sample Answers -- Author's Biography -- References -- 15. Bio-Inspired Intrusion Detection for Wireless Sensor Networks / Fatma Mili -- 15.1. Introduction -- 15.1.1. Security Robustness Characteristics of Sensor Networks -- 15.1.2. Security Vulnerability Characteristics of Sensor Networks -- 15.2. Background -- 15.2.1. Types of DoS Attacks that an IDS Must Deter -- 15.2.2. Elements of a DoS Intruder Detection System -- 15.2.3. Approaches to DoS Intruder Detection -- 15.2.3.1. IDS Based on Deviation from Normal -- 15.2.3.2. Selective Forwarding Attack Detection Scheme -- 15.2.4. Summary Anomaly-Based IDS Systems for WSNs -- 15.3. Natural and Artificial Immune Systems, General Principles -- 15.3.1. Natural Immune Systems -- 15.3.2. Artificial Immune Systems -- 15.4. Representative Sample of AIS for Sensor Networks -- 15.4.1. Sample Implementation of the Innate Immune System -- 15.4.1.1. Background -- 15.4.1.2. Immunity Layer Simulated -- 15.4.1.3. Characterization of Intruders (Self vs. Non-self) -- 15.4.1.4. Identifying Intruders and Ensuing Processes -- 15.4.1.5. General Assessment and Simulation Results -- 15.4.2. Example Implementation of an Adaptive Immune System: Immunity-Based Intrusion Detection for WSNs -- 15.4.2.1. Background, Motivation -- 15.4.2.2. Immunity Layer Simulated -- 15.4.2.3. Characterization of Intruders (Self vs. Non-self) -- 15.4.2.4. Identifying Intruders and Ensuing Processes -- 15.4.2.5. General Assessment and Simulation Results -- 15.4.3. Example Implementation of Danger Theory: An Artificial Immune System Approach with Secondary Response -- 15.4.3.1. Background, Motivation -- 15.4.3.2. Layer Simulated -- 15.4.3.3. Characterization of Intruders (Self vs. Non-self) -- 15.4.3.4. Identification of Intruders -- 15.4.3.5. Assessment and Simulation Results -- 15.4.4. Adaptive Immunity for WSNs -- 15.4.4.1. Motivation -- 15.4.4.2. Determining "Self" -- 15.4.4.3. Simulation Examples -- 15.5. Future Directions for Research -- 15.6. Conclusions -- Terminologies -- Questions and Sample Answers -- Author's Biography -- References -- 16. Biological Inspired Autonomously Secure Mechanism for Wireless Sensor Networks / Rozeha A.
Rashid -- 16.1. Introduction -- 16.1.1. IEEE 802.15.4 -- 16.1.2. Types of Applications -- 16.1.3. Resource Constraint -- 16.1.4. Self-Organization -- 16.1.5. Objectives -- 16.1.6. Organization of the Chapter -- 16.2. Background and Related Research -- 16.2.1. Overview of Ant Routing in WSNs -- 16.2.2. Comparison of the Most Recent ANT-Based Routing in WSNs -- 16.2.3. Security in WSNs -- 16.2.3.1. Spoofed, Altered, or Replayed Routing Information -- 16.2.3.2. Selective Forwarding -- 16.2.3.3. Sinkhole Attacks -- 16.2.3.4. Sybil Attacks -- 16.2.3.5. Wormholes -- 16.2.3.6. HELLO Flood Attack -- 16.2.3.7. Acknowledgment Spoofing -- 16.2.4. Overview of IDS-Based Security -- 16.2.5. Overview of AIS-Based Security -- 16.2.6. Overview of Keying-Based Security -- 16.2.7. Comparison of the Most Common Secure Routing Protocols in WSNs -- 16.3. Methodology -- 16.3.1. System Design -- 16.3.2. Routing Management -- 16.3.3. Neighbor Management -- 16.3.4. Power Management -- 16.3.5. Forwarding Criteria -- 16.3.6. Optimal Route Discovery -- 16.3.7. Determination of Packet Velocity -- 16.3.8. Determination of Link Quality -- 16.3.9. Security Management -- 16.4. Simulation -- 16.4.1. Simulation Tools -- 16.4.2. Graphical Animation of the Network -- 16.4.3. Network Model and Performance Parameters -- 16.5. Results -- 16.5.1. Performance Analysis -- 16.6. Future Directions for Research -- 16.7. Conclusion -- Acknowledgment -- Terminologies -- Questions and Sample Answers -- Author's Biography -- References -- 17. Controlled Link Establishment Attack on Key Pre-Distribution Schemes for Distributed Sensor Networks and Countermeasures / Johnson I. Agbinya -- 17.1. Introduction -- 17.2. Background on PKPSs for DSNs -- 17.2.1. Mathematical Model -- 17.2.2. Expected Properties of PKPSs -- 17.2.3. State-of-the-Art of PKPSs -- 17.3. Controlled Link Establishment Attack -- 17.3.1. Node Replication Attack -- 17.3.2. Key-Swapping Collusion Attack -- 17.3.2.1. Short-Distance Collusion Attack -- 17.3.2.2. Long-Distance Collusion Attack -- 17.3.2.3. Mixed-Distance Collusion Attack -- 17.4. Countermeasures -- 17.4.1. Indirect Countermeasures -- 17.4.2. Direct Countermeasures -- 17.4.2.1. Witness-Based Detection Schemes -- 17.4.2.2. SET: Set Operation-Based Detection Scheme -- 17.4.2.3. Bloom Filter-Based Detection Scheme -- 17.4.2.4. One-Way Hash Chain-Based Protection Schemes -- 17.5. Future Research Directions -- 17.6. Conclusions -- Terminologies -- Questions and Sample Answers -- Author's Biography -- References -- 18. Proactive Key Variation Owing to Dynamic Clustering (Periodic) in Sensor Networks / Gihwan Cho -- 18.1. Introduction -- 18.2. Background -- 18.2.1. Nonrenewal Schemes -- 18.2.2. Reactive Renewal Schemes -- 18.2.3. Secure CH Election Schemes.
Note continued: 18.3. Network and Threat Model -- 18.3.1. Network Model -- 18.3.2. Threat Model -- 18.4. Proactive Key Variation Owing to Dynamic Clustering Scheme -- 18.4.1. Sector Formation -- 18.4.2. Pairwise Key Establishments within Sectors -- 18.4.3. Secure CH Election -- 18.4.3.1. Commitment Broadcast -- 18.4.3.2. Broadcast of Fulfillment Value -- 18.4.3.3. Sum Generation and CH Election -- 18.4.3.4. Adjustment of Broadcast Order -- 18.4.4. Transmission of Sensed Data -- 18.5. Evaluation -- 18.5.1. Security Evaluation -- 18.5.2. Efficiency Evaluation -- 18.6. Synchronization and Scalability -- 18.7. Future Directions for Research -- 18.8. Conclusions -- Terminologies -- Questions and Sample Answers -- Author's Biography -- References -- 19. Secure Routing Architectures Using Cross-Layer Information for Attack Avoidance (with Case Study on Wormhole Attacks) / David Pearce -- 19.1. Introduction -- 19.1.1. Overview of Sensor Networks -- 19.1.2. Overview of Sensor Network Security Issues -- 19.1.3. Techniques for Defending WSN Systems -- 19.1.4. Wormhole Attack -- 19.1.4.1. Wormhole Attack Classifications -- 19.1.4.2. Response to Wormhole Attacks -- 19.1.5. Chapter Overview -- 19.2. Background -- 19.2.1. Background Overview -- 19.2.2. Packet Leashing Approaches -- 19.2.3. Approaches Involving Additional Hardware -- 19.2.4. Sink-Based Approaches -- 19.2.5. Graph-Theory Approaches -- 19.2.6. Spectral Monitoring Approaches -- 19.2.7. Unexpected Security Benefits from Wormholes -- 19.3. Current Research Progress -- 19.3.1. Introduction to Current Research -- 19.3.2. Philosophy Behind Disturbance -- 19.3.2.1. Passive Wormholes and Static Disturbance -- 19.3.2.2. Dynamic Disturbance for Detection -- 19.3.3. Metric Definition -- 19.3.3.1. Static Metric Definition -- 19.3.3.2. Dynamic Metric Definition -- 19.3.4. Protocol Logic and Implementation -- 19.3.5. Scenario Description -- 19.3.5.1. Scenario Introduction -- 19.3.5.2. Mobility Parameters -- 19.3.5.3. Geometry Parameters for Deployment Region -- 19.3.5.4. Wormhole Placement Parameters -- 19.3.5.5. Simulation Logic -- 19.3.5.6. Success Metric Tracked by a Simulator -- 19.3.6. Results -- 19.3.6.1. Varying the Static Routing Exponents -- 19.3.6.2. Using Static Disturbance in Topologies of Varying Regularity -- 19.3.6.3. Relative Performance of Static and Dynamic Disturbance -- 19.3.7. Customizing Metrics for Known Topologies -- 19.3.8. Future Directions for Research -- 19.3.8.1. Overview of Future Directions -- 19.3.8.2. Application to the Sinkhole Attack -- 19.4. Conclusions -- Terminologies -- Questions and Sample Answers -- Author's Biography -- References -- 20. Reputation-Based Trust Systems in Wireless Sensor Networks / Hani Alzaid -- 20.1. Introduction -- 20.2. Security Concerns -- 20.2.1. WSN Attacks -- 20.2.2. Reputation Attacks -- 20.3. Analysis Framework for Reputation Systems -- 20.3.1. Information Gathering and Sharing -- 20.3.2. Information Modeling -- 20.3.3. Decision Making and Dissemination -- 20.4. State-of-the-Art of Reputation-Based Trust Systems in WSNs -- 20.4.1. Trust-Based Security System for Ubiquitous and Pervasive Computing Environments -- 20.4.2. Reputation-Based Secure Data Aggregation in WSNs -- 20.4.3. Trust Management Problem in Distributed WSNs -- 20.4.4. Collaborative Reputation Mechanism to Enforce Node Cooperation in Mobile Ad Hoc Networks -- 20.4.5. Performance Analysis of the Confidant Protocol -- 20.4.6. Distributed Reputation-Based Beacon Trust -- 20.4.7. Reputation-Based Framework for High Integrity Sensor Networks -- 20.4.8. Trust-Based Security for Wireless Ad Hoc and Sensor Networks -- 20.4.9. Formal Reputation System for Trusting WSNs -- 20.5. Comparison of Current Reputation-Based Systems in WSNs -- 20.5.1. Classification Model -- 20.5.2. Reputation Components Visibility -- 20.5.3. Attack Visibility -- 20.6. Conclusion -- Terminologies -- Questions and Sample Answers -- Author's Biography -- References -- 21. Major Works on the Necessity and Implementations of PKC in WSNs: A Beginner's Note / Al-Sakib Khan Pathan -- 21.1. Introduction -- 21.2. PKC in WSNs -- 21.3. Major Challenges to Implementing PKC in WSNs -- 21.3.1. Survey on the Notable Implementations of PKC in WSNs -- 21.3.1.1. Types of Implementations -- 21.3.1.2. Software Implementations -- 21.3.1.3. Hardware Implementations -- 21.3.1.4. Hardware/Software-Blended Implementations -- 21.3.2. Summary of Implementations -- 21.4. Conclusions and Future Expectations -- Terminologies -- Questions and Sample Answers -- Author's Biography -- References -- pt. IV WIRELESS MESH NETWORK SECURITY -- 22. Secure Access Control and Authentication in Wireless Mesh Networks / Ranga Reddy -- 22.1. Introduction -- 22.2. Background -- 22.2.1. Wireless Mesh Network -- 22.2.2. Authentication Schemes in WLANs -- 22.2.2.1. IEEE 802.1X Authentication -- 22.2.2.2. IEEE 802.1X Limitations -- 22.3. Access Control and Authentication in WMN -- 22.3.1. Authentication-Related Security Attacks -- 22.3.2. Secure Authentication Assumptions -- 22.3.3. Requirements for Authentication in WMNs -- 22.3.3.1. Security Requirements -- 22.3.3.2. Performance Requirements -- 22.4. Access Control and Authentication Schemes -- 22.4.1. Localized Authentication Based on Public Certificate -- 22.4.2. Predictive Authentication and Preauthentication -- 22.4.3. EAP-based Authentication Schemes for WMNs -- 22.4.4. Identity-Based Cryptography-Based Authentication -- 22.4.4.1. Identity-Based Cryptography -- 22.4.4.2. ID-Based Authentication in WMNs -- 22.5. Future Directions for Research -- 22.6. Conclusions -- Terminologies -- Questions and Sample Answers -- Author's Biography -- References -- 23. Misbehavior Detection in Wireless Mesh Networks / Md. Shariful Islam.
Includes bibliographical references and index.