Evaluation of Tools and Techniques for the Generation of Warning Alerts: A Survey Paper

  • Abid Ghaffar Department of Computer Science, Kulliyyah of Information and Communication Technology, International Islamic University Malaysia, P.O Box 10, 50728 Kuala Lumpur, Malaysia and Department of Computer Science, Foundation Year Program, Umm Alqura University, Makkah, Saudi Arabia.
  • Mohamed Ridza Wahiddin
  • Mohamad Fauzan Noordin
  • Asadullah Shaikh
Keywords: Brahms Model, Human behaviour Modelling, Cognitive Science, Security and Privacy, Warning Dialogues, Mental Model Approach


Quality assurance is a key factor for the improvement of an organisational behaviour. It is quite challenging to enhance an organisational performance without realising internal errors and mistakes done by its employees. We have also experienced that most of the security solutions are unsuccessful wherever human behaviour is involved. Organisations sometimes pay huge cost for its survival especially when human error is untraceable and misleading. Online survey has been conducted from different professionals serving at different positions in different organisations. Variety of multi-agent system tools (MAS) is available in the market for modelling and simulation of human behaviour. Brahms modelling and simulation tool has been selected among different multi-agent system tools due to its distinguished features to detect human errors in an organisation which supports warning alert generation system.

Author Biography

Abid Ghaffar, Department of Computer Science, Kulliyyah of Information and Communication Technology, International Islamic University Malaysia, P.O Box 10, 50728 Kuala Lumpur, Malaysia and Department of Computer Science, Foundation Year Program, Umm Alqura University, Makkah, Saudi Arabia.

Abid Ghaffar is currently a Ph.D student in the Department of Computer Science, Kulliyah of Information and Communication Technology, International Islamic University, Malaysia.  He is also a faculty member at the same time in the Department of Computer Science as lecturer, Foundation Year Program, Umm Al-qura University, Makkah, Saudi Arabia. He has completed his M.Sc degree in Computer Science from Gomal University, D.I. Khan, N.W.F.P., Pakistan, B.Sc from Punjab University, Pakistan. He has more than fifteen years teaching experience including two and a half year industrial experience.



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How to Cite
Ghaffar, A., Ridza Wahiddin, M., Fauzan Noordin, M., & Shaikh, A. (2015). Evaluation of Tools and Techniques for the Generation of Warning Alerts: A Survey Paper. Transactions on Machine Learning and Artificial Intelligence, 3(2), 10. https://doi.org/10.14738/tmlai.32.1078