Selfish Colluder Detection and Identification in Traitors within Traitors

Abstract

During collusion attacks against multimedia forensics, an important issue that colluders need to address is the fairness of the attack, i.e., whether all colluders take the same risk of being detected. Although they might agree so, some selfish colluders may break away from their fair-collusion agreement and process their fingerprinted copies before collusion to further lower their risk. On the other hand, to protect their own interests, other attackers may wish to detect and prevent such selfish pre-collusion processing. It is important to study this problem of traitors within traitors, formulate the dynamics among colluders and build a complete model of multi-user collusion. This paper investigates techniques that attackers can use to detect and identify selfish colluders without revealing the secrecy of any fingerprinted copies. Our simulation results show that the proposed scheme accurately identifies all selfish colluders without falsely accusing any others.

Behavior modeling and forensics for multimedia social networks

“…In addition, for each copy, only the corresponding colluder and the trusted ringleader can access the fingerprinted coefficients. Therefore, the selfish colluder detection and identification algorithm in [40] also protects the secrecy of all the fingerprinted copies and prevents framing attacks.…”

“…The selfish colluder identification algorithm proposed in [40] can accurately identify all selfish colluders without falsely accusing any others. In addition, for each copy, only the corresponding colluder and the trusted ringleader can access the fingerprinted coefficients.…”

Autonomous Identification of Selfish Colluders in Traitor-within-Traitor Behavior Forensics

“…The work in [5] considered the scenario where there is a ringleader whom all colluders trust and investigated how the trust ringleader can help detect and identify selfish colluders. This paper focuses on autonomous selfish colluder identification, where there does not exist a trusted ringleader and colluders help each other detect selfish behavior.…”

“…We introduce the problem of traitors within traitors and formulate the dynamics among colluders in Section 2. Section 3 reviews selfish colluder identification with a trusted ringleader [5]. Section 4 proposes an autonomous selfish colluder detection algorithm, and we show simulation results in Section 5.…”

“…The work in [5] investigated selfish colluder detection and identification in traitors within traitors, assuming that there is a ringleader whom all colluders trust. This paper focuses on autonomous selfish colluder identification, where there does not exist a trusted ringleader and colluders help each other detect selfish behavior.…”