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Extensible Android Malware Detection and Family Classification Using Network-Flows and API-Calls.

, , and . ICCST, page 1-8. IEEE, (2019)

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A Novel Trust Model In Detecting Final-Phase Attacks in Substations., , and . PST, page 1-11. IEEE, (2021)A Detailed Analysis of the CICIDS2017 Data Set., , and . ICISSP (Revised Selected Papers), volume 977 of Communications in Computer and Information Science, page 172-188. Springer, (2018)Intrusion Traffic Detection and Characterization using Deep Image Learning., , and . DASC/PiCom/CBDCom/CyberSciTech, page 55-62. IEEE, (2020)Security Evaluation for Graphical Password., , , and . DICTAP (1), volume 166 of Communications in Computer and Information Science, page 431-444. Springer, (2011)NTLFlowLyzer: Towards generating an intrusion detection dataset and intruders behavior profiling through network and transport layers traffic analysis and pattern extraction., , and . Comput. Secur., (2025)QKeyShield: A Practical Receiver-Device-Independent Entanglement-Swapping-Based Quantum Key Distribution., , and . IEEE Access, (2022)Robust stacking ensemble model for darknet traffic classification under adversarial settings., , and . Comput. Secur., (2022)Toward Developing a Systematic Approach to Generate Benchmark Android Malware Datasets and Classification., , , and . ICCST, page 1-7. IEEE, (2018)Extensible Android Malware Detection and Family Classification Using Network-Flows and API-Calls., , and . ICCST, page 1-8. IEEE, (2019)Evaluating Label Flipping Attack in Deep Learning-Based NIDS., , and . SECRYPT, page 597-603. SCITEPRESS, (2023)