Titlebook: E-Business and Telecommunications; 19th International C Marten Van Sinderen,Fons Wijnhoven,Sabrina De Capi Conference proceedings 2023 The

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書目名稱E-Business and Telecommunications影響因子(影響力)




書目名稱E-Business and Telecommunications影響因子(影響力)學(xué)科排名




書目名稱E-Business and Telecommunications網(wǎng)絡(luò)公開度




書目名稱E-Business and Telecommunications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱E-Business and Telecommunications被引頻次




書目名稱E-Business and Telecommunications被引頻次學(xué)科排名




書目名稱E-Business and Telecommunications年度引用




書目名稱E-Business and Telecommunications年度引用學(xué)科排名




書目名稱E-Business and Telecommunications讀者反饋




書目名稱E-Business and Telecommunications讀者反饋學(xué)科排名

gait-cycle

,Blind Side Channel Analysis on?the?Elephant LFSR Extended Version,Elephant is one of the ten finalists. Many physical attacks exist on the different traditional cryptographic algorithms. New standard are a new targets for this domain. In this paper, an improvement of the first theoretical blind side channel attack against the authenticated encryption algorithm Ele

seruting

松緊帶

尊敬

,Towards a?Realistic Decentralized Naive Bayes with?Differential Privacy,ltiple private data sources: Federated Naive Bayes and Gossip Naive Bayes. Instead of directly providing access to their data, the data owners compute local updates that are then aggregated to build a global model. In order to also prevent indirect privacy leaks from the updates or from the final mo

蛤肉

,Intrinsic Weaknesses of?IDSs to?Malicious Adversarial Attacks and?Their Mitigation,nts in their detection capabilities through deep learning algorithms compared to conventional approaches. However, these algorithms are vulnerable to meta-attacks, also known as adversarial evasion attacks, which are attacks that improve already existing attacks, specifically their ability to evade

蛤肉

,Compressing Big OLAP Data Cubes in?Big Data Analytics Systems: New Paradigms, a?Reference Architecte-science platforms, from social networks to smart cities, from intelligent transportation systems to graph analysis tools, and so forth. Among various proposals, ., which basically are based on well-understood OLAP paradigms, are gaining the momentum due to their flexibility and expressiveness powe

使迷醉

seroma

B. Angelkort,H. Holzhüter,E. Wenzeltographic APIs in malware differs from that made in benign applications. The different patterns in the use of cryptographic APIs in malware and benign applications have been further analyzed through the explanations of Android malware detectors based on machine learning approaches, showing how crypt

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