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Evolved IoT Malware Detection using Opcode Category Sequence through Machine Learning.

, , , , and . ICCCN, page 1-7. IEEE, (2022)

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Robust IoT Malware Detection and Classification Using Opcode Category Features on Machine Learning., , , , and . IEEE Access, (2023)Poster Abstract: Reducing Tail Response Time of Vehicular Applications., and . SEC, page 103-104. IEEE Computer Society, (2016)t3-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence., , , , and . CoRR, (2023)BumbleBee: Application-aware adaptation for container orchestration., , , , and . CoRR, (2020)Evolved IoT Malware Detection using Opcode Category Sequence through Machine Learning., , , , and . ICCCN, page 1-7. IEEE, (2022)Comparative Analysis of Low-Dimensional Features and Tree-Based Ensembles for Malware Detection Systems., , , and . IEEE Access, (2020)Poster: Redundancy Aided Vehicular Networking., and . MobiSys, page 173. ACM, (2017)BumbleBee: Application-aware adaptation for edge-cloud orchestration., , , , and . SEC, page 122-135. IEEE, (2022)Accelerating Applications in the Fast-moving Devices with Proactive Provisioning., , , , and . MobiSys, page 608-609. ACM, (2019)Ultra-Low Power DNN Accelerators for IoT: Resource Characterization of the MAX78000., , , , , and . SenSys, page 934-940. ACM, (2022)