C050

MITIGATING CYBER THREATS IN SMALL AND MEDIUM-SIZED ENTERPRISES (SMES): A RULE-BASED APPROACH TO ANOMALY DETECTION AND SECURITY MANAGEMENT

DR. PRABHA KUMARESAN, NOR KHAISSIRA BINTI KHAIRUDDIN

AFFILIATION
Faculty of Computing & Informatics, Multimedia University

Description of Invention

Small and medium-sized enterprises (SMES) face high cybersecurity risks due to limited resources. This study builds on a rule-based Data Breach Detection System (DBDS) to enhance detection of unauthorized access and improve security management. The system monitors file access, user behavior, and network traffic to identify anomalies. Improved detection rules and real-time alerts achieved a 92.5% true positive rate and reduced false positives by 47%. Threats are identified and mitigated within 2.3 seconds. With 89% usability among SME managers and 38% lower maintenance costs than traditional solutions, DBDS offers an effective, affordable approach to cybersecurity for SMES.