Reputation-Based Internet Protocol Security: A Multilayer Security Framework for Mobile Ad Hoc Networks

This research effort examines the theory, application, and results for a Reputation-based Internet Protocol Security (RIPSec) framework that provides security for an ad-hoc network operating in a hostile environment. In RIPSec, protection from external threats is provided in the form of encrypted co...

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Bibliographic Details
Main Author: Lacey, Timothy H
Format: Report
Language:English
Subjects:
AD HOC NETWORKS
BEHAVIOR GRADING
COMMUNICATIONS NETWORKS
COMMUNICATIONS PROTOCOLS
ENEMY
INTERNET
MANET
MEDIA
MULTILEVEL
MULTIPATH ROUTING
Radio Communications
RIPSEC(REPUTATION BASED INTERNET PROTOCOL SECURITY)
SECURITY
THREATS
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Summary:This research effort examines the theory, application, and results for a Reputation-based Internet Protocol Security (RIPSec) framework that provides security for an ad-hoc network operating in a hostile environment. In RIPSec, protection from external threats is provided in the form of encrypted communication links and encryption-wrapped nodes while internal threats are mitigated by behavior grading that assigns reputations to nodes based on their demonstrated participation in the routing process. Network availability is provided by behavior grading and round-robin multipath routing. If a node behaves faithfully, it earns a positive reputation over time. If a node misbehaves, it earns a negative reputation. Each member of the MANET has its own unique and subjective set of Reputation Indexes (RI) that enumerates the perceived reputation of the other MANET nodes. Nodes that desire to send data will eliminate relay nodes they perceive to have a negative reputation during the formulation of a route. A 50-node MANET is simulated with streaming multimedia and varying levels of misbehavior to determine the impact of the framework on network performance. Analysis of the simulation data shows the number of errors sent is reduced by an average of 52% when using RIPSec. The original document contains color images.