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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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發(fā)表于 2025-3-21 20:03:17 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Applications and Techniques in Information Security
期刊簡稱14th International C
影響因子2023V.S. Shankar Sriram,Anila Glory H.,Shiva Raj Pokhr
視頻videohttp://file.papertrans.cn/168/167491/167491.mp4
學(xué)科分類Communications in Computer and Information Science
圖書封面Titlebook: Applications and Techniques in Information Security; 14th International C V.S. Shankar Sriram,Anila Glory H.,Shiva Raj Pokhr Conference pro
影響因子.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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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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