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Graph-Based Comparison of IoT and Android Malware.

, , , , , and . CSoNet, volume 11280 of Lecture Notes in Computer Science, page 259-272. Springer, (2018)

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Mal-Netminer: Malware Classification Approach based on Social Network Analysis of System Call Graph., , , , and . CoRR, (2016)A Private Walk in the Clouds: Using End-to-End Encryption between Cloud Applications in a Personal Domain., , and . TrustBus, volume 8647 of Lecture Notes in Computer Science, page 72-82. Springer, (2014)POSTER: Blind Separation of Benign and Malicious Events to Enable Accurate Malware Family Classification., , and . ACM Conference on Computer and Communications Security, page 1478-1480. ACM, (2014)Breaking graph-based IoT malware detection systems using adversarial examples: poster., , , , , , and . WiSec, page 290-291. ACM, (2019)A cost-effective anomaly detection system using in-DRAM working set of active flows table: poster., , , , and . WiSec, page 286-287. ACM, (2019)ShmCaffe: A Distributed Deep Learning Platform with Shared Memory Buffer for HPC Architecture., , , , , and . ICDCS, page 1118-1128. IEEE Computer Society, (2018)An Adversary-Centric Behavior Modeling of DDoS Attacks., , and . ICDCS, page 1126-1136. IEEE Computer Society, (2017)Two-Thumbs-Up: Physical protection for PIN entry secure against recording attacks., , , , , , and . Comput. Secur., (2018)Examining the Security of DDoS Detection Systems in Software Defined Networks., , , and . CoNEXT Companion, page 49-50. ACM, (2019)Measuring and Analyzing Trends in Recent Distributed Denial of Service Attacks., , , and . WISA, volume 10144 of Lecture Notes in Computer Science, page 15-28. (2016)