Titlebook: Computer Security – ESORICS 2020; 25th European Sympos Liqun Chen,Ninghui Li,Steve Schneider Conference proceedings 2020 Springer Nature Sw

Coagulant

書目名稱Computer Security – ESORICS 2020影響因子(影響力)




書目名稱Computer Security – ESORICS 2020影響因子(影響力)學(xué)科排名




書目名稱Computer Security – ESORICS 2020網(wǎng)絡(luò)公開度




書目名稱Computer Security – ESORICS 2020網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computer Security – ESORICS 2020被引頻次




書目名稱Computer Security – ESORICS 2020被引頻次學(xué)科排名




書目名稱Computer Security – ESORICS 2020年度引用




書目名稱Computer Security – ESORICS 2020年度引用學(xué)科排名




書目名稱Computer Security – ESORICS 2020讀者反饋




書目名稱Computer Security – ESORICS 2020讀者反饋學(xué)科排名

Cleave

Facilities

Efficient Quantification of Profile Matching Risk in Social Networks Using Belief Propagationuantify and show to the OSN users the extent of this privacy risk. Existing attempts to model profile matching in OSNs are inadequate and computationally inefficient for real-time risk quantification. Thus, in this work, we develop algorithms to efficiently model and quantify profile matching attack

圓木可阻礙

Anonymity Preserving Byzantine Vector Consensusred to a recent consensus baseline. Finally, we demonstrate empirically that the protocol is practical by deploying it on 100 machines geo-distributed in three continents: America, Asia and Europe. Anonymous decisions are reached within 10?s with a conservative choice of traceable ring signatures.

Assignment

等級(jí)的上升

Understanding the Security Risks of Docker Hubcurity analysis against Docker images. We collect 2,227,244 Docker images and the associated meta-information from Docker Hub. This dataset enables us to discover many insightful findings. (1) run-commands with sensitive parameters expose disastrous harm to users and the host, such as the leakage of

等級(jí)的上升

現(xiàn)存

Similarity of Binaries Across Optimization Levels and Obfuscationiment results demonstrate that the bottleneck part of our SSA transforming algorithm runs 15.7x faster than one of the best similar methods. Furthermore, we show that . is robust to many obfuscation techniques that based on data dependency.

Estrogen

The Singularity and Immediacy of Intuitionsassumption in both approaches is that the middlebox knows the rule sets. Nevertheless, with the services increasingly migrating to third-party cloud-based setting, rule privacy should be preserved. Also, both approaches are static in nature in the sense that addition of any rules requires significan

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