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Shield: Secure Allegation Escrow System with Stronger Guarantees

Koti, N and Kukkala, VB and Patra, A and Raj Gopal, B (2023) Shield: Secure Allegation Escrow System with Stronger Guarantees. In: 2023 World Wide Web Conference, WWW 2023, 30 April - 4 May 2023, Austin, pp. 2252-2262.

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Official URL: https://doi.org/10.1145/3543507.3583391


The rising issues of harassment, exploitation, corruption and other forms of abuse have led victims to seek comfort by acting in unison against common perpetrators. This is corroborated by the widespread #MeToo movement, which was explicitly against sexual harassment. Installation of escrow systems has allowed victims to report such incidents. The escrows are responsible for identifying the perpetrator and taking the necessary action to bring justice to all its victims. However, users hesitate to participate in these systems due to the fear of such sensitive reports being leaked to perpetrators, who may further misuse them. Thus, to increase trust in the system, cryptographic solutions are being designed to realize web-based secure allegation escrow (SAE) systems. While the work of Arun et al. (NDSS'20) presents the state-of-the-art solution, we identify attacks that can leak sensitive information and compromise victim privacy. We also report issues present in prior works that were left unidentified. Having identified the attacks and issues in all prior works, we put forth an SAE system that overcomes these while retaining all the existing salient features. The cryptographic technique of secure multiparty computation (MPC) serves as the primary underlying tool in designing our system. At the heart of our system lies a new duplicity check protocol and an improved matching protocol. We also provide essential features such as allegation modification and deletion, which were absent in the state of the art. To demonstrate feasibility, we benchmark the proposed system with state-of-the-art MPC protocols and report the cost of processing an allegation. Different settings that affect system performance are analyzed, and the reported values showcase the practicality of our solution. © 2023 ACM.

Item Type: Conference Paper
Publication: ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023
Publisher: Association for Computing Machinery, Inc
Additional Information: The copyright for this article belongs to Association for Computing Machinery, Inc.
Keywords: Privacy-preserving techniques, CryptoGraphics; Privacy preserving computation; Secure allegation escrow; Secure multi-party computation; Sensitive data processing; Sensitive datas; Sensitive informations; Sexual harassment; State of the art; Web based, Sensitive data
Department/Centre: Division of Electrical Sciences > Computer Science & Automation
Date Deposited: 14 Jun 2023 13:26
Last Modified: 14 Jun 2023 13:26
URI: https://eprints.iisc.ac.in/id/eprint/81951

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