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STARS: A STATISTICAL TRAFFIC PATTERN

DISCOVERY SYSTEM FOR MANETS

ABSTRACT:-

Many anonymity enhancing techniques have been proposed based on packet encryption to protect the communication anonymity of mobile ad hoc networks (MANETs). However, in this paper, we show that MANETs are still vulnerable under passive statistical traffic analysis attacks. To demonstrate how to discover the communication patterns without decrypting the captured packets, we present a novel statistical traffic pattern discovery system (STARS). STARS works passively to perform traffic analysis based on statistical characteristics of captured raw traffic. STARS are capable of discovering the sources, the destinations, and the end-to-end communication relations. Empirical studies demonstrate that STARS achieves good accuracy in disclosing the hidden traffic patterns.

EXISTING SYSTEM	PROPOSED SYSTEM
EXISTING CONCEPT: - Existing approach Traffic analysis models have been widely investigated for static wired networks the simplest approach to track a message is to enumerate all possible links a message could traverse, namely, the brute force approach. Do not work well to analyze MANET traffic because of the following three natures of MANETs 1) The broadcasting nature 2) The ad hoc nature 3) The mobile nature	PROPOSED CONCEPT: - STARS aims to derive the source/destination probability distribution, the probability for each node to be a message source/destination, and the end-to-end link probability distribution, the probability for each pair of nodes to be an end-to-end communication pair. STARS includes two major steps: 1) Construct point-to-point traffic matrices  2) Apply a heuristic approach.
EXISTING TECHNIQUE:- MANET system model.	PROPOSED TECHNIQUE:- Statistical traffic pattern discovery system (STARS).
TECHNIQUE DEFINITION:- A MANET system is generally defined as a network that has many free or autonomous nodes, often composed of mobile devices or other mobile pieces that can arrange themselves in various ways and operate without strict top-down network administration.	TECHNIQUE DEFINITION:- STARS works passively to perform traffic analysis based on statistical characteristics of captured raw traffic. STARS is capable of discovering the sources, the destinations, and the end-to-end communication relations. Empirical studies demonstrate that STARS achieves good accuracy in disclosing the hidden traffic patterns.
DRAWBACKS:- A point-to-point message transmission usually has only one possible receiver. MANETs lack in security and performance.	ADVANTAGES:- It captures the raw traffic from the PHY/MAC layer on end-to-end. It provides security and performance high.