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Anomaly-based user comments detection in social news websites using troll user comments as normality representation.

, , , , and . Log. J. IGPL, 24 (6): 883-898 (2016)

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Collective Classification for Packed Executable Identification., , , , and . Comput. Syst. Sci. Eng., (2013)Opcode sequences as representation of executables for data-mining-based unknown malware detection., , , and . Inf. Sci., (2013)Prevalence and Impact of Low-Entropy Packing Schemes in the Malware Ecosystem., , , , and . NDSS, The Internet Society, (2020)Survivalism: Systematic Analysis of Windows Malware Living-Off-The-Land., , , , and . SP, page 1557-1574. IEEE, (2021)Anomaly-based Spam Filtering., , , , and . SECRYPT, page 5-14. SciTePress, (2011)Mama: manifest Analysis for Malware Detection in Android., , , , , , and . Cybern. Syst., 44 (6-7): 469-488 (2013)The web is watching you: A comprehensive review of web-tracking techniques and countermeasures., , , and . Log. J. IGPL, 25 (1): 18-29 (2017)Anomaly Detection Using String Analysis for Android Malware Detection., , , , , and . SOCO-CISIS-ICEUTE, volume 239 of Advances in Intelligent Systems and Computing, page 469-478. Springer, (2013)On the study of anomaly-based spam filtering using spam as representation of normality., , , , , and . CCNC, page 693-695. IEEE, (2012)A Close Look at a Daily Dataset of Malware Samples., , and . ACM Trans. Priv. Secur., 22 (1): 6:1-6:30 (2019)