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Duplicates in the Drebin Dataset and Reduction in the Accuracy of the Malware Detection Models.

, , , и . APCC, стр. 161-165. IEEE, (2021)

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Shabnam Rathore

Kumar Hemant

Hemant Patwardhan

Hemant Agrawal

Hemant Singh

 

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Malware Detection using Machine Learning and Deep Learning., , , и . CoRR, (2019)Designing Adversarial Robust and Explainable Malware Detection System for Android based Smartphones: PhD Forum Abstract.. IPSN, стр. 412-413. ACM, (2021)Identification of Significant Permissions for Efficient Android Malware Detection., , , и . CoRR, (2021)Detection of Malicious Android Applications: Classical Machine Learning vs. Deep Neural Network Integrated with Clustering., , , и . CoRR, (2021)Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review., , и . CoRR, (2022)Identification of Adversarial Android Intents using Reinforcement Learning., , , и . IJCNN, стр. 1-8. IEEE, (2021)Towards Robust Android Malware Detection Models using Adversarial Learning., и . PerCom Workshops, стр. 424-425. IEEE, (2021)Credit Card Fraud Detection Using K-Means Combined with Supervised Learning., , , , и . HIS, том 420 из Lecture Notes in Networks and Systems, стр. 262-272. Springer, (2021)Android Malicious Application Classification Using Clustering., , , и . ISDA (2), том 941 из Advances in Intelligent Systems and Computing, стр. 659-667. Springer, (2018)DOOM: A Novel Adversarial-DRL-Based Op-Code Level Metamorphic Malware Obfuscator for the Enhancement of IDS., , и . CoRR, (2020)