Titlebook: Computer Security – ESORICS 2016; 21st European Sympos Ioannis Askoxylakis,Sotiris Ioannidis,Catherine Me Conference proceedings 2016 Sprin

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書目名稱Computer Security – ESORICS 2016影響因子(影響力)




書目名稱Computer Security – ESORICS 2016影響因子(影響力)學(xué)科排名




書目名稱Computer Security – ESORICS 2016網(wǎng)絡(luò)公開度




書目名稱Computer Security – ESORICS 2016網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computer Security – ESORICS 2016被引頻次




書目名稱Computer Security – ESORICS 2016被引頻次學(xué)科排名




書目名稱Computer Security – ESORICS 2016年度引用




書目名稱Computer Security – ESORICS 2016年度引用學(xué)科排名




書目名稱Computer Security – ESORICS 2016讀者反饋




書目名稱Computer Security – ESORICS 2016讀者反饋學(xué)科排名

花束

說不出

Scalable Two-Factor Authentication Using Historical Dataorage regardless of the size of the historical data. Leveraging on the data retrieval and searching capability of contemporary big data technologies, the proposed authentication factor can achieve realtime, fault-tolerant verification. The use of historical data as an authentication factor has a ver

有法律效應(yīng)

On the Implications of Zipf’s Law in Passwords (e.g., authentication, encryption, signature and secret share) can be 2–4 orders of magnitude more accurately captured (formulated) than existing formulation results. As password protocols are the most widely used cryptographic protocols, our new formulation is of practical significance. Secondly,

heckle

brother

A Machine Learning Approach for Detecting Third-Party Trackers on the Webh-quality blacklists. To solve these problems, we firstly use the structural hole theory to preserve first-party trackers, and only detect third-party trackers based on supervised machine learning by exploiting the fact that trackers and non-trackers always call different JavaScript APIs for differe

brother

PEACE Data in the Cluster Active Archiveappeared in public domain blacklists and more than 94?% of the blacklisted domain names did not appear in such public blacklists for several weeks or even months after they were first reported in abuse complaints, (2) more than 40?% of the SMS spam domains were active for over 100 days, and (3) the

否認(rèn)

無(wú)法治愈

The Cnidaria, Past, Present and Futureorage regardless of the size of the historical data. Leveraging on the data retrieval and searching capability of contemporary big data technologies, the proposed authentication factor can achieve realtime, fault-tolerant verification. The use of historical data as an authentication factor has a ver

殘酷的地方

https://doi.org/10.1007/978-3-319-31305-4 (e.g., authentication, encryption, signature and secret share) can be 2–4 orders of magnitude more accurately captured (formulated) than existing formulation results. As password protocols are the most widely used cryptographic protocols, our new formulation is of practical significance. Secondly,