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آمنة هيثم عبداللطيف - Amenah H. Abdulateef
MSc - assistant lecturer
College of Science for Women , Department of Biology
[email protected]
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مهارات الحاسوب
كلية العلوم للبنات
علوم الحياة
Stage 1
مهارات الحاسوب
كلية العلوم للبنات
علوم الحياة
Stage 1
مهارات الحاسوب
كلية العلوم للبنات
علوم الحياة
Stage 1
مهارات الحاسوب
كلية العلوم للبنات
علوم الحياة
Stage 1
مهارات الحاسوب
كلية العلوم للبنات
علوم الحياة
Stage 1
مهارات الحاسوب
كلية العلوم للبنات
علوم الحياة
Stage 1
مهارات الحاسوب
كلية العلوم للبنات
علوم الحياة
Stage 1
مهارات الحاسوب
كلية العلوم للبنات
علوم الحياة
Stage 1
هياكل البيانات
كلية العلوم للبنات
علوم الحياة
Stage 2
هياكل البيانات
كلية العلوم للبنات
علوم الحياة
Stage 2
هياكل البيانات
كلية العلوم للبنات
علوم الحياة
Stage 2
هياكل البيانات
كلية العلوم للبنات
علوم الحياة
Stage 2
هياكل البيانات
كلية العلوم للبنات
علوم الحياة
Stage 2
مهارات الحاسوب 2
كلية العلوم للبنات
علوم الحياة
Stage 2
مهارات الحاسوب 2
كلية العلوم للبنات
علوم الحياة
Stage 2
مهارات الحاسوب 2
كلية العلوم للبنات
علوم الحياة
Stage 2
مهارات الحاسوب 2
كلية العلوم للبنات
علوم الحياة
Stage 2
مهارات الحاسوب 2
كلية العلوم للبنات
علوم الحياة
Stage 2
Publication Date
Sat Mar 30 2024
Journal Name
Wasit Journal For Pure Sciences
Arabic and English Texts Encryption Using Modified Playfair Algorithm
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To maintain the security and integrity of data, with the growth of the Internet and the increasing prevalence of transmission channels, it is necessary to strengthen security and develop several algorithms. The substitution scheme is the Playfair cipher. The traditional Playfair scheme uses a small 5*5 matrix containing only uppercase letters, making it vulnerable to hackers and cryptanalysis. In this study, a new encryption and decryption approach is proposed to enhance the resistance of the Playfair cipher. For this purpose, the development of symmetric cryptography based on shared secrets is desired. The proposed Playfair method uses a 5*5 keyword matrix for English and a 6*6 keyword matrix for Arabic to encrypt the alphabets of

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Publication Date
Sat Dec 01 2018
Journal Name
Applied Soft Computing
A new evolutionary algorithm with locally assisted heuristic for complex detection in protein interaction networks
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Scopus (12)
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Publication Date
Mon Aug 26 2019
Heuristic Modularity for Complex Identification in Protein-Protein Interaction Networks
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     Due to the significant role in understanding cellular processes, the decomposition of Protein-Protein Interaction (PPI) networks into essential building blocks, or complexes, has received much attention for functional bioinformatics research in recent years. One of the well-known bi-clustering descriptors for identifying communities and complexes in complex networks, such as PPI networks, is modularity function.   The contribution of this paper is to introduce heuristic optimization models that can collaborate with the modularity function to improve its detection ability. The definitions of the formulated heuristics are based on nodes and different levels of their neighbor properties.  The modulari

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Scopus (11)
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