| Title | An Expert System Based on Belief Rule to Assess Bank Surveillance Security |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Alam, Md Jamshed, Kamrul, MD. Imtiaz, Zia Ur Rashid, S. M., Rashid, Syed Zahidur |
| Conference Name | 2018 International Conference on Innovations in Science, Engineering and Technology (ICISET) |
| Date Published | oct |
| Keywords | bank data processing, bank security assessment, bank surveillance security assessment, banking security, belief rule base, belief rule based expert system, BRB inference methodology, evidential reasoning algorithm, expert systems, generic belief rule based inference methodology, Human Behavior, inference mechanisms, knowledge base, pubcrawl, real-life security system, real-time security data, resilience, Resiliency, RIMER, RIMER approach, Scalability, security, security assessment, security of data, surveillance security, virtual life |
| Abstract | Surveillance is the monitoring of the behavior, activities or other changing information whereas security means the state of being protected from harmful activities. Nowadays proper surveillance security is considered as a challenging issue in the world and security has become a major concern from real life to virtual life. Tech-giants are implementing new solutions & techniques for better security assessment. This paper illustrates the design and implementation of a Belief Rule Based Expert System (BRBES) to overcome the uncertainty problems during bank security assessment. The proposed expert system has been developed based on generic Belief Rule Based (BRB) inference methodology using Evidential Reasoning algorithm (RIMER). Real-time security data has been taken from several banks of Bangladesh in conjunction with the expert's opinion to construct the knowledge base. This expert system provides more reliable and effective result under uncertainties which is better than any other traditional expert's prediction. Real life case studies were used for the validation of this system. Also, the outcome is compared with the real-life security system. Furthermore, the architectural design, implementation and utilization of an expert system to assess bank security under uncertainty are also discussed in this paper. |
| DOI | 10.1109/ICISET.2018.8745647 |
| Citation Key | alam_expert_2018 |
An Expert System Based on Belief Rule to Assess Bank Surveillance Security