The Dynamics Of Salsa: A Structured Approach To Large-scale Anonymity

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Title: The Dynamics Of Salsa: A Structured Approach To Large-scale Anonymity
Author: Khan, Safwan Mahmud
Abstract: Anonymity provides a technical solution for protecting one's online privacy . Highly distributed peer -to -peer (P2P ) anonymous systems should have better distribution of trust and more scalability than centralized approaches , but existing systems are vulnerable to attacks as they require nodes to have global knowledge of the system . To overcome these problems and to provide more secure , distributed organization for P2P anonymity systems , prior work proposed the Salsa system . Salsa is designed to select nodes to be used in anonymous circuits randomly from the full set of nodes , even though each node has knowledge of only a small subset of the network . It uses randomness , redundancy and bounds checking while performing lookups to prevent malicious nodes from returning false information without detection . In this thesis , we further investigate the dynamics of the Salsa system and propose to handle important system -level functionalities without giving advantages to attackers . We propose algorithms for joining and leaving of a node , splitting a group when its size reaches a maximum threshold , merging of two groups when a group's size reaches a minimum threshold and updating global contacts of nodes locally . We have introduced more randomness in the lookup procedure and made bounds checking more flexible . Finally , we implemented these dynamic events and developed a complete continuous time simulator for Salsa . Using this simulator , we present simulation results that show that still Salsa continues to have good lookup success in a dynamic environment with modest overheads in the system . These results also demonstrate the stability of Salsa in the presence of many peers joining and leaving .
URI: http : / /hdl .handle .net /10106 /1089
Date: 2008-09-17


The Dynamics Of Salsa: A Structured Approach To Large-scale Anonymity. Available electronically from http : / /hdl .handle .net /10106 /1089 .

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