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E-Business and Telecommunications: 19th International Conference, ICSBT 2022, Lisbon, Portugal, July 14–16, 2022, and 19th International Conference, SECRYPT 2022, Lisbon, Portugal, July 11-13, 2022, Revised Selected Papers de Marten Van Sinderen

E-Business and Telecommunications: 19th International Conference, ICSBT 2022, Lisbon, Portugal, July 14–16, 2022, and 19th International Conference, SECRYPT 2022, Lisbon, Portugal, July 11-13, 2022, Revised Selected Papers: Communications in Computer and Information Science, cartea 1849

Editat de Marten Van Sinderen, Fons Wijnhoven, Slimane Hammoudi, Pierangela Samarati, Sabrina De Capitani di Vimercati
en Limba Engleză Paperback – 2 oct 2023
This book includes extended and revised versions of a set of selected papers presented at the 19th International Conference on Smart Business Technologies, ICSBT 2022, Lisbon, Portugal, July 14–16, 2022, and 19th International Conference on Security and Cryptography, SECRYPT 2022, Lisbon, Portugal, July 11-13, 2022.

The 7 full papers included in the volume were carefully selected from the 143 submissions accepted to participate in the conference. The papers present reciting research on e-Business technology and its current applications; and all aspects of security and privacy.

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Specificații

ISBN-13: 9783031451362
ISBN-10: 3031451368
Ilustrații: XIII, 177 p. 51 illus., 47 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.28 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Communications in Computer and Information Science

Locul publicării:Cham, Switzerland

Cuprins

SPOT+: Secure and Privacy-Preserving Proximity-Tracing Protocol with Efficient Verification over Multiple Contact Information.- Blind side channel on the Elephant LFSR Extended version.- Stacked Ensemble Models Evaluation on DL Based SCA.- Explaining the Use of Cryptographic API in Android Malware.- Explaining the Use of Cryptographic API in Android Malware.- Intrinsic Weaknesses of IDSs to Malicious Adversarial Attacks and their Mitigation.- Compressing Big OLAP Data Cubes in Big Data Analytics Systems: New Paradigms, a Reference Architecture, and Future Research Perspectives.