logo

CrossCert: A Privacy-Preserving Cross-chain System for Educational Credential Verification using Zero-Knowledge Proof

RESEARCH CREW
22:02 16/12/2023

Across various industries, credential verification stands as a critical requirement, yet traditional approaches face limitations in security, privacy, and interoperability. Although recent blockchain innovations promise decentralization, deploying them independently in institutions creates data isolation. While there are theoretical frameworks, lack of practical studies achieving a balance between credential mobility and privacy is noteworthy. This paper introduces CrossCert, a privacy-focused cross-chain system for verifying credentials between educational and employer blockchains. By incorporating zero-knowledge proofs, CrossCert facilitates anonymous checks without disclosing user details. Extensive experiments have consistently demonstrated CrossCert's real-time performance, even within blockchain limitations. Its security features, including cryptographic proofs and on-chain data management, demonstrate strong resilience against typical attacks and web vulnerabilities. CrossCert pioneers bridging the research gap between education, employment, and privacy, striving to achieve a balanced balance of credential accessibility and ethical information practices with its innovative cross-chain architecture. The system hence merits further research as a feasible solution to streamline decentralized credential validation across diverse stakeholders.

TIN LIÊN QUAN
An Approach of Adaptive Cyber Deception for Active Cyber-attack Defense Method based on Deep Reinforcement Learning
The diverse landscape of network models, including Software-Defined Networking (SDN), Cloud Computing (C2), and Internet of Things (IoT), is evolving to meet the demands of flexibility and performance. However, these environments face numerous security challenges due to cyber-attack complexity. Traditional defense mechanisms are no longer effective against modern attacks. Therefore,...
Multimodal Deep Learning Feedback for Generating Evasive Malware Samples against Malware Detector
As data driven-based Windows malware detectors become increasingly prevalent, the need for robust evaluation and enhancement of adversarial malware generation techniques also becomes imperative, as malicious actors will adapt and enhance their malware to evade detection. There are numerous works that introduce new techniques or enhancements for adversarial malware. One...
Medichain: A multi-chain based system for managing prescription medications using Zero Knowledge Proofs
The abuse of prescription medications has become a severe public health crisis fueled by limited coordination and oversight across healthcare systems. Current frameworks lack interoperability between doctors, pharmacies, and regulators, enabling abusive practices like doctor shopping and pharmacy hopping. To address these issues, this research proposes Medichain, a novel multichain-based...