Developing Anti Spyware System using Design Patterns | ||||
| International Conference on Aerospace Sciences and Aviation Technology | ||||
| Article 64, Volume 16, AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 16 – May 26 - 28, 2015, May 2015, Page 1-10 PDF (307.76 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/asat.2015.23003 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Mohamed Adel Sheta1; Mohamed Zaki2; Kamel Abd El Salam El Hadad3; H. Aboelseoud M.3 | ||||
| 1Ph.D. Student, Department of Computer Engineering, Military Technical College, Egypt. | ||||
| 2Prof. of Computer and System Engineering, Al-Azhar University, Egypt. | ||||
| 3Dr., Department of Computer Engineering, Military Technical College. | ||||
| Abstract | ||||
| Spyware is considered a great threat to confidentiality since it can cause loss of control over private data for computer users. This kind of threat might select some data and send it to another third party without the consent of the user. Spyware detection has been presented traditionally by three approaches signature based detection, behavior based detection and specification based detection. These approaches were successful in detecting known spyware but have proven failure in detecting unknown spyware. In this paper we introduce a framework for anti spyware system that combine data mining and design patterns in detecting and classifying spyware. The proposed anti spyware system can be reusable as it can modify itself for any new or modified spyware. | ||||
| Keywords | ||||
| Spyware; Data mining; Design patterns | ||||
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