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Characterization and Prediction of Mobile-App Traffic Using Markov Modeling.

, , , , , and . IEEE Trans. Netw. Serv. Manag., 18 (1): 907-925 (2021)

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Hierarchical Classification of Android Malware Traffic., , , , and . TrustCom, page 1354-1359. IEEE, (2022)A Big Data-Enabled Hierarchical Framework for Traffic Classification., , , , and . IEEE Trans. Netw. Sci. Eng., 7 (4): 2608-2619 (2020)Characterization and Prediction of Mobile-App Traffic Using Markov Modeling., , , , , and . IEEE Trans. Netw. Serv. Manag., 18 (1): 907-925 (2021)Blockchain Performance in Industry 4.0: Drivers, use cases, and future directions., , , and . J. Ind. Inf. Integr., (December 2023)Skin Lesions Classification: A Radiomics Approach with Deep CNN., , , , , , and . ICIAP Workshops, volume 11808 of Lecture Notes in Computer Science, page 252-259. Springer, (2019)Data Poisoning Attacks against Autoencoder-based Anomaly Detection Models: a Robustness Analysis., , , , , and . ICC, page 5427-5432. IEEE, (2022)Adaptive Intrusion Detection Systems: Class Incremental Learning for IoT Emerging Threats., , , , , and . IEEE Big Data, page 3547-3555. IEEE, (2023)Benchmarking Class Incremental Learning in Deep Learning Traffic Classification., , , , , , , and . IEEE Trans. Netw. Serv. Manag., 21 (1): 51-69 (February 2024)A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification., , , , , , and . TMA, IFIP, (2021)A Comparison of Machine and Deep Learning Models for Detection and Classification of Android Malware Traffic., , , , , and . ISCC, page 1-6. IEEE, (2022)