Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Reference :

    1. Murugesan, M. Suruthi, R. Pavitha Devi, S. Deepthi, V. Sri Lavanya, and Annie Princy. "Automated Monitoring Suspicious Discussions on Online Forums Using Data Mining Statistical Corpus Based Approach." Imperial Journal of Interdisciplinary Research 2, no. 5 (2016).
    2. Yen, Ting-Fang, Alina Oprea, Kaan Onarlioglu, Todd Leetham, William Robertson, Ari Juels, and Engin Kirda. "Beehive: Large-scale log analysis for detecting suspicious activity in enterprise networks." In Proceedings of the 29th Annual Computer Security Applications Conference, pp. 199-208. ACM, 2013. 
    3. Khangura, M. Dhaliwal, M. Sehgal. “Identification of Suspicious Activities in Chat Logs using Support Vector Machine and Optimization with Genetic Algorithm.” International Journal for Research in Applied Science & Engineering Technology (IJRASET), VII(5), 2017.
    4. Chiu, Carter, Justin Zhan, and Felix Zhan. "Uncovering Suspicious Activity From Partially Paired and Incomplete Multimodal Data." IEEE Access 5 (2017): 13689-13698.
    5. Patil, Yogesh V., Omkar A. Salvi, Paresh R. Waghmare, Akshay D. Kondilkar, and Vijayalaxmi P. Kadroli. "Abnormal Behaviour Detection on Live Streaming." (2017).
    6. M. Jiang, A. Beutel, P. Cui, B. Hooi, S. Yang, and C. Faloutsos, “Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms,” IEEE Trans. Knowl. Data Eng., vol. 28, no. 8, pp. 2187–2200, 2016.
    7. Alami, Salim, and OMAR EL BEQQALI. "DETECTING SUSPICIOUS PROFILES USING TEXT ANALYSIS WITHIN SOCIAL MEDIA." Journal of Theoretical & Applied Information Technology 73, no. 3 (2015).

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