ARA: a robust audit to prevent free-riding in P2P networks

@inproceedings{citeulike:709580, abstract = {A number of solutions have been proposed to address the free-riding problem in peer-to-peer file sharing systems. The solutions are either imperfect-they allow some users to cheat the system with malicious behavior, or expensive-they require human intervention, require servers, or incur high mental transaction costs. The authors proposed a method to address these weaknesses. Specifically, a utility function was introduced to capture contributions made by a user and an auditing scheme to ensure the integrity of a utility function's values. The method enabled to reduce cheating by a malicious peer: it is shown that this approach can efficiently detect malicious peers with a probability over 98\%.}, author = {Ham, Myungjoo and Agha, Gul }, citeulike-article-id = {709580}, journal = {Peer-to-Peer Computing, 2005. P2P 2005. Fifth IEEE International Conference on}, pages = {125--132}, posted-at = {2007-05-12 05:26:40}, priority = {2}, title = {ARA: a robust audit to prevent free-riding in P2P networks}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=1551028}, year = {2005} }

TY - CONF ID - citeulike:709580 L3 - citeulike-article-id:709580 TI - ARA: a robust audit to prevent free-riding in P2P networks JF - Peer-to-Peer Computing, 2005. P2P 2005. Fifth IEEE International Conference on SP - 125 EP - 132 N2 - A number of solutions have been proposed to address the free-riding problem in peer-to-peer file sharing systems. The solutions are either imperfect-they allow some users to cheat the system with malicious behavior, or expensive-they require human intervention, require servers, or incur high mental transaction costs. The authors proposed a method to address these weaknesses. Specifically, a utility function was introduced to capture contributions made by a user and an auditing scheme to ensure the integrity of a utility function's values. The method enabled to reduce cheating by a malicious peer: it is shown that this approach can efficiently detect malicious peers with a probability over 98%. AU - Ham, Myungjoo AU - Agha, Gul PY - 2005/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1551028 ER -