Titlebook: Cyberspace Safety and Security; 13th International S Weizhi Meng,Mauro Conti Conference proceedings 2022 Springer Nature Switzerland AG 202

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,Vulnerability and?Transaction Behavior Based Detection of?Malicious Smart Contracts,machine learning (ML) algorithms across different temporal granularities and identify behavioral changes. In our experiments with on-chain SCs, we were able to find a total of 1094 benign SCs across different granularities which behave similar to malicious SCs, with the inclusion of the smart contra

很是迷惑

Environmental Adaptive Privacy Preserving Contact Tracing System for Respiratory Infectious Diseasenmental factors to filter out results outside estimated effective transmission distance, and also take airborne transmission into consideration. In addition, we implement a rerandomizable signature scheme with blockchain bulletin board to provide confidentiality and integrity. We also evaluate the p

徹底檢查

Post-quantum Key Escrow for Supervised Secret Data Sharing on Consortium Blockchain,iled security analysis on the system design and a full evaluation on the performance of PQ-KES4Chain including the time of chaincodes execution and the on-chain storage space. We further discuss the implications of our findings, which could be helpful for the developers of PQ KEM algorithms and appl

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專心

Encrypted Malicious Traffic Detection Based on Ensemble Learning, protection through encryption technology. Regular expression matching based methods, such as deep packet inspection that relies on plaintext traffic cannot be applied to detecting encrypted random communication content, and the existing detecting methods based on time-series features often ignore t

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Brochure

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,Vulnerability and?Transaction Behavior Based Detection of?Malicious Smart Contracts,te’ nature of the programming language (Solidity) in which SCs are written. This also opens up different vulnerabilities and bugs in SCs that malicious actors exploit to carry out malicious or illegal activities on the cryptocurrency platform. In this work, we study the correlation between malicious

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,Realizing Information Flow Control in?ABAC Mining,ine-grained access control. As a result, many Role-Based Access Control (RBAC) systems are migrating to ABAC. In such migrations, ABAC mining is used to create ABAC policies from existing RBAC policies. Although ABAC has several advantages, it lacks one of the crucial features required for reliable