Titlebook: Computer Security – ESORICS 2023; 28th European Sympos Gene Tsudik,Mauro Conti,Georgios Smaragdakis Conference proceedings 2024 The Editor(

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書目名稱Computer Security – ESORICS 2023影響因子(影響力)




書目名稱Computer Security – ESORICS 2023影響因子(影響力)學科排名




書目名稱Computer Security – ESORICS 2023網(wǎng)絡公開度




書目名稱Computer Security – ESORICS 2023網(wǎng)絡公開度學科排名




書目名稱Computer Security – ESORICS 2023被引頻次




書目名稱Computer Security – ESORICS 2023被引頻次學科排名




書目名稱Computer Security – ESORICS 2023年度引用




書目名稱Computer Security – ESORICS 2023年度引用學科排名




書目名稱Computer Security – ESORICS 2023讀者反饋




書目名稱Computer Security – ESORICS 2023讀者反饋學科排名

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You Reset I Attack! A?Master Password Guessing Attack Against Honey Password Vaults decoy vault by decrypting and comparing the old and new versions of a password vault. To prove this, we propose a new master password guessing attack (MPGA) to break all the existing honey password vault schemes. Experimental results show that MPGA can easily distinguish real and decoy vaults with

Cosmopolitan

Attacking Logo-Based Phishing Website Detectors with?Adversarial Perturbationss of state-of-the-art phishing detectors; and (ii)?user studies to gauge whether our adversarial logos can deceive human eyes. The results show that our proposed attack is capable of crafting perturbed logos subtle enough to evade various DL models—achieving an evasion rate of up to 95%. Moreover, u

卷發(fā)

Hiding Your Signals: A Security Analysis of?PPG-Based Biometric Authenticationte is 60% in inter-pulse-interval-based security protocols. Further, we propose an active defence strategy to hide the physiological signals of the face to resist the attack. It reduces the success rate of rPPG spoofing attacks in user authentication to 5%. The bit hit rate was reduced to 50%, which

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非實體

JWTKey: Automatic Cryptographic Vulnerability Detection in?JWT Applicationsrecise detection and overhead. Running on 358 open source JWT applications from GitHub, . discovered that 65.92% of the JWT applications have at least one cryptographic vulnerability. The comparative experiments with CryptoGuard demonstrate the effectiveness of our design. We disclose the findings t

Decrepit

惡名聲

Syntax-Aware Mutation for?Testing the?Solidity Compilerle releases, and compare?.?with (1) ., a grammar-aware fuzzer, (2) ., a text-mutation fuzzer and (3) two grammar-blind fuzzers with advanced test input generation schedules: . and . .. .?identified 19 bugs in total (7 of which were previously unknown to Solidity developers), while the other fuzzers