Dr. Qais Saif Qassim

Post Doctoral Fellow
University Tenaga National, Malaysia

Highest Degree
PostDoc. Student in Computer Science from Universiti Tenaga Nasional, Malaysia

My URL
https://livedna.org/60.20969

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Area of Interest:

Computer Sciences
Software Architectures
Artificial Intelligence
Information Security
Network Security

Selected Publications

  1. Qassim, Q.S., A.M. Zin and M.J.A. Aziz, 2017. Anomaly-based network IDS false alarm filter using cluster-based alarm classification approach. Int. J. Secur. Networks, 12: 13-26.
    CrossRef  |  Direct Link  |  

  2. Qassim, Q., N. Jamil, I.Z. Abidin, M.E. Rusli and S. Yussof et al., 2017. A survey of SCADA testbed implementation approaches. Indian J. Sci. Technol., Vol. 10. 10.17485/ijst/2017/v10i26/116775.
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  3. Firdaus, Z., N. Jamil, Q.S. Qassim, M.E. Rusli and N. Ja`affar et al., 2017. A study on security vulnerabilities assessment and quantification in SCADA systems. J. Eng. Appl. Sci., Vol. 12. .

  4. Qassim, Q., A.M. Zin and M.J. Ab Aziz, 2016. Anomalies classification approach for network-based intrusion detection system. Int. J. Network Secur., 18: 1159-1172.

  5. Qassim, Q., A. Patel and A. Mohd-Zin, 2014. Strategy to reduce false alarms in intrusion detection and prevention systems. Int. Arab J. Inf. Technol., 11: 500-506.
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Member since November, 2017