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Titlebook: Applications and Techniques in Information Security; 14th International C V.S. Shankar Sriram,Anila Glory H.,Shiva Raj Pokhr Conference pro

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发表于 2025-3-21 20:03:17 | 显示全部楼层 |阅读模式
期刊全称Applications and Techniques in Information Security
期刊简称14th International C
影响因子2023V.S. Shankar Sriram,Anila Glory H.,Shiva Raj Pokhr
视频video
学科分类Communications in Computer and Information Science
图书封面Titlebook: Applications and Techniques in Information Security; 14th International C V.S. Shankar Sriram,Anila Glory H.,Shiva Raj Pokhr Conference pro
影响因子.This book constitutes the refereed proceedings of the 14th International Conference, on Applications and Techniques in Information Security, ATIS 2024, held in Tamil Nadu, India, November 22-24, 2024...The 24 full papers presented were carefully reviewed and selected from 149 submissions. The conference focuses on Advancing Quantum Computing and Cryptography; AI-Driven Cybersecurity: The Role of Machine Learning; Advancing Cybersecurity with Deep Learning Techniques; and Securing Connected Systems: IoT, Cloud, and Web Security Strategies..
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书目名称Applications and Techniques in Information Security网络公开度学科排名




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书目名称Applications and Techniques in Information Security被引频次学科排名




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书目名称Applications and Techniques in Information Security年度引用学科排名




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书目名称Applications and Techniques in Information Security读者反馈学科排名




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Linda J. Stang,Lesley G. Mitchell key and encryption is carried out by adding the key to the original pixel based on position based (row) value modulo 256 and XNORs the output with position based (column) value for every pixel. The proposed algorithm is subjected to various experimental test and is proven to be robust and secure an
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Aprotinin and major orthopedic surgeryy attaining the pass rate of 99.9%with the level of significance as 0.01. Further, Hamming distance and Shannon entropy were estimated to determine the switching activity and uniformity of the generated randomness. On the other hand, the modified LEA occupies only less than 5% of the total hardware
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Haemostatic Failure in Liver Diseased in the digital age, the effects of malicious software have grown in recent years. The detection of harmful software has traditionally relied on the identification of malware samples and families. These systems use detection approaches that rely on rules and traditional signatures. Machine learning
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Haemostatic Failure in Liver Diseasef the proposed method is evaluated with the KDD cup 1999 dataset, and the results show that the application of PSC is promising in terms of silhouette measure, accuracy, detection rate, and false positive rates.
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