Abstract:
New security threats emerge against mobile
devices as the devices’ computing power and storage
capabilities evolve. Preventive mechanisms like
authentication, encryption alone are not sufficient to
provide adequate security for a system. There is a
definite need for Anomaly detection systems that will
improve security on the mobile phone. In this work, we
propose User Group Partition Algorithm and Behavior
Pattern Matching Algorithm to extract anomalous calls
from mobile call detail records effectively.
