协定
发表于 2025-3-28 18:11:37
A Blockchain-Based IoT Data Management System for Secure and Scalable Data Sharingulnerability to malicious attacks. Recently, many researchers and security analysts are focusing on the blockchain technology to solve the security and privacy issues of the IoT data management. However, current blockchain technologies are unable to meet the highly concurrent IoT data transactions a
Glycogen
发表于 2025-3-28 22:28:55
Towards Secure Open Banking Architecture: An Evaluation with OWASP, allowing third party providers and developers access to bank APIs, has emerged, welcoming a myriad of innovative solutions for the financial sector. However, multiple cyber security issues arise from exposing bank data to third party providers through an API. In this work, we propose an architectu
红润
发表于 2025-3-29 01:28:08
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Creditee
发表于 2025-3-29 06:51:03
OVERSCAN: OAuth 2.0 Scanner for Missing Parameters, which results in the security control of accessing sensitive information is necessary. The authorization server as the one security aspect which controls the access permission to the system. Many authentication protocols were proposed to meet these functional requirements. The open-standard author
激怒某人
发表于 2025-3-29 11:17:21
LaT-Voting: Traceable Anonymous E-Voting on Blockchainystems are excessively dependent on a centralized platform for publishing voting activity and storing ballots, which cannot ensure the security against tampering. Recently, numerous solutions based on blockchain are proposed to eliminate this threat. Nevertheless, these schemes are not applicable fo
修正案
发表于 2025-3-29 13:44:10
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希望
发表于 2025-3-29 18:11:42
SSHTDNS: A Secure, Scalable and High-Throughput Domain Name System via Blockchain Techniqueerious security threats due to its distributed structure with a center. Blockchain has received extensive attention due to its decentralized, secure and trusted characteristics since the existence of Bitcoin. In this paper, we propose a new domain name system based on blockchain techniques called SS
macular-edema
发表于 2025-3-29 20:02:00
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PLUMP
发表于 2025-3-30 02:40:23
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attenuate
发表于 2025-3-30 07:55:04
Unsupervised Insider Detection Through Neural Feature Learning and Model Optimisationsity (CMU) CERT Programs insider threat database. Experimental results demonstrate that our proposed approach could achieve an extremely low false-positive rate (FPR) with all malicious events identified.