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Journal of Discrete Mathematical Sciences and Cryptography Volume 23, 2020 - Issue 2: Sustainable Engineering for Science and Technology
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Articles

Analysis of machine learning models for malware detection

Rahula Department of Computer Science & Engineering, Delhi Technological University, Delhi110042, India, E-mail: [email protected]
,
Priyansh Kediab Department of Electrical Engineering, Delhi Technological University, Delhi110042, IndiaCorrespondence[email protected]
,
Subrat Sarangic Department of Applied Mathematics, Delhi Technological University, Delhi110042, India, E-mail: [email protected]
&
Monikad Department of Computer Science & Engineering, Delhi Technological University, Delhi110042, India, E-mail: [email protected]
Pages 395-407 | Published online: 14 May 2020

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Deepak Kshirsagar & Pooja Agrawal. (2022) A study of feature selection methods for android malware detection. Journal of Information and Optimization Sciences 43:8, pages 2111-2120.
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Ajeet Singh & Anurag Jain. (2021) Hybrid bio-inspired model for fraud detection with correlation based feature selection. Journal of Discrete Mathematical Sciences and Cryptography 24:5, pages 1365-1374.
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Suruchi Gera & Adwitiya Sinha. (2021) A machine learning-based malicious bot detection framework for trend-centric twitter stream. Journal of Discrete Mathematical Sciences and Cryptography 24:5, pages 1337-1348.
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Deepika Kumar & Usha Batra. (2020) An ensemble algorithm for breast cancer histopathology image classification. Journal of Statistics and Management Systems 23:7, pages 1187-1198.
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Swati Maurya & Anurag Jain. (2020) Deep learning to combat phishing. Journal of Statistics and Management Systems 23:6, pages 945-957.
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Articles from other publishers (10)

Sangeeta Rani, Khushboo Tripathi & Ajay Kumar. (2023) Machine learning aided malware detection for secure and smart manufacturing: a comprehensive analysis of the state of the art. International Journal on Interactive Design and Manufacturing (IJIDeM).
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Rahul Rahul, Vartika Hari Durgapal & Vinshu Chaudhry. (2023) Crime Evaluation Using Neural Networks by GPS Trajectory Dataset. Crime Evaluation Using Neural Networks by GPS Trajectory Dataset.
Imtiaz Ali shah, Abid Mehmood, Abdul Nasir Khan, Mourad Elhadef & Atta ur Rehman Khan. (2022) HeuCrip: a malware detection approach for internet of battlefield things. Cluster Computing 26:2, pages 977-992.
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Amir Djenna, Ahmed Bouridane, Saddaf Rubab & Ibrahim Moussa Marou. (2023) Artificial Intelligence-Based Malware Detection, Analysis, and Mitigation. Symmetry 15:3, pages 677.
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Junqing Liang & Xiaoxiao Kong. (2023) Leakage control of urban water supply network and mathematical analysis and location of leakage points based on machine learning. Applied Mathematics and Nonlinear Sciences 8:1, pages 1519-1528.
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Sanjay Patidar, Madhvan Sharma & Himesh Mahabi. 2023. Proceedings of Data Analytics and Management. Proceedings of Data Analytics and Management 13 21 .
Gitesh Prajapati, Pooja Singh & Rahul. 2023. Proceedings of International Conference on Data Science and Applications. Proceedings of International Conference on Data Science and Applications 693 706 .
Nikhil Khanna, Ojas Agarwal & Rahul. (2022) Software Change Prediction using Ensemble Learning on Object Oriented Metrics. Software Change Prediction using Ensemble Learning on Object Oriented Metrics.
Sangeeta Rani, Khushboo Tripathi, Yojna Arora & Ajay Kumar. (2022) Analysis of Anomaly detection of Malware using KNN. Analysis of Anomaly detection of Malware using KNN.
Al-Ani Mustafa Majid, Ahmed Jamal Alshaibi, Evgeny Kostyuchenko & Alexander Shelupanov. (2021) A review of artificial intelligence based malware detection using deep learning. Materials Today: Proceedings.
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