Anti-spyware Security Design Patterns

Spyware is deemed a big danger to the privacy and secrecy of both individuals and firms; it frequently results in the damage and loss of electronic data stored on all types of computers. The main challenges in designing anti-spyware systems are the need for updating data describing spywares and changing the structure of old programs to detect new or unknown spywares. In this paper, we aimed to propose a security pattern for spyware detection. We achieved our objective by introducing a framework for anti-spyware system that combine data mining and design patterns in creating security patterns able to detect and classify spyware efficiently. The proposed anti-spyware system is characterized by its reusability, in sense that it can modify itself for any new or unknown spyware. The experimental results of the proposed approach outperform all the previous competing approaches.