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Security testing and evaluation of cryptography algorithms. (c2003)
منشور في 2003احصل على النص الكامل
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masterThesis -
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A Comprehensive Analysis of Security-Based Schemes in Underwater Wireless Sensor Networks
منشور في 2023الموضوعات: -
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A novel encryption algorithm using multiple semifield S-boxes based on permutation of symmetric group
منشور في 2023"…<p dir="ltr">There is a need of secure and robust encryption algorithm that can be implemented on each and diverse software and hardware platforms. …"
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A image encryption algorithm based on chaotic Lorenz system and novel primitive polynomial S-boxes
منشور في 2022"…<p>We have proposed a robust, secure and efficient image encryption algorithm based on chaotic maps and algebraic structure. …"
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Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks
منشور في 2025"…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R<sup>2</sup> = 0.05 to 0.99 in a representative thiophene set. …"
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Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment
منشور في 2022"…This paper provides a deep learning-based decryptor for investigating the permutation primitives used in multimedia block cipher encryption algorithms.We aim to investigate how deep learning can be used to improve on previous classical works by employing ciphertext pair aspects to maximize information extraction with low-data constraints by using convolution neural network features to discover the correlation among permutable atoms to extract the plaintext from the ciphered text without any P-box expertise. …"
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Scrambled Prime Key Encryption
منشور في 2018"…Nevertheless, but the fast increase in computers' speed may threaten these algorithms. This paper presents an innovative symmetric encryption, which we call Scrambled Prime Key Encryption or SPKE that tries to heighten the level of communication security. …"
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conferenceObject -
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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
منشور في 2024"…To overcome these challenges, a new FS algorithm named Uniform-solution-driven Binary Feature Selection (UniBFS) has been developed in this study. …"
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Axes-Based Encryption Key
منشور في 2018احصل على النص الكامل
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conferenceObject -
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Multiclass feature selection with metaheuristic optimization algorithms: a review
منشور في 2022"…The feature selection problem aims at reducing the feature set dimension while maintaining the performance model accuracy. …"
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Variable Selection in Data Analysis: A Synthetic Data Toolkit
منشور في 2024"…Variable (feature) selection plays an important role in data analysis and mathematical modeling. …"
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article -
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Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
منشور في 2022"…The outcomes revealed that these ML algorithms can be useful in predicting ground losses during wild blueberry harvesting in the selected fields.…"
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TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
منشور في 2020الموضوعات: -
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Bird’s Eye View feature selection for high-dimensional data
منشور في 2023"…However, high dimensional data often contains irrelevant features, outliers, and noise, which can negatively impact model performance and consume computational resources. …"
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Secure Storage of Crypto Wallet Seed Phrase Using ECC and Splitting Technique
منشور في 2024"…The research aims to use the elliptic-curve cryptography (ECC) encryption algorithm for storing the seed phrase online by encrypting the seed phrase and using the splitting technique to store the crypto wallet seed phrase. …"
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A Novel Encryption Method for Dorsal Hand Vein Images on a Microcomputer
منشور في 2019"…Second, the pre- and post-processed images were encrypted with a new encryption algorithm in the microcomputer environment. …"
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Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect
منشور في 2022"…The second phase, modified the Artificial Bee Colony (ABC) Algorithm, with Upper Confidence Bound (UCB) Algorithm, to promote the exploitation ability for the minimum dimension, to get the minimum number of the optimal feature, then using forward feature selection strategy by four classifiers of machine learning algorithms: (K-Nearest Neighbors (KNN), Support vector machines (SVM), Naïve-Bayes (NB), and Polynomial Neural Networks (PNN). …"
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