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Supervised machine learning for the detection of troll profiles in twitter social network: application to a real case of cyberbullying.

, , , , and . Log. J. IGPL, 24 (1): 42-53 (2016)

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Using Dalvik opcodes for malware detection on android., and . Log. J. IGPL, 25 (6): 938-948 (2017)Let's do it right the first time: Survey on security concerns in the way to quantum software engineering., , , , , , , , and . Neurocomputing, (June 2023)Detecting malicious Android applications based on the network packets generated., , , , and . Neurocomputing, (2021)How IoT and computer vision could improve the casting quality., , , , and . IOT, page 7:1-7:8. ACM, (2019)Enhancing cybersecurity learning through an augmented reality-based serious game., , , and . EDUCON, page 602-607. IEEE, (2013)PhrasIS: Phrase Inference and Similarity Benchmark., , , , , , and . SOCO, volume 1401 of Advances in Intelligent Systems and Computing, page 261-272. Springer, (2021)Bytecode-Based Android Malware Detection Applying Convolutional Neural Networks., , , , and . CISIS-ICEUTE, volume 748 of Lecture Notes in Networks and Systems, page 111-121. Springer, (2023)Using Dalvik Opcodes for Malware Detection on Android., , , and . HAIS, volume 9121 of Lecture Notes in Computer Science, page 416-426. Springer, (2015)Network Traffic Analysis for Android Malware Detection., , , and . HAIS, volume 11734 of Lecture Notes in Computer Science, page 468-479. Springer, (2019)Supervised classification of packets coming from a HTTP botnet., , , , , and . CLEI, page 1-8. IEEE, (2012)