| Type of Material: | Thesis |
| Title: | An intelligent spyware detection system based on association mining |
| Researcher: | Kapat, Sisira Kumar |
| Guide: | Tripathy, Satya Narayan |
| Department: | Department of Computer Science |
| Publisher: | Berhampur University, Berhampur |
| Place: | Berhampur |
| Year: | 2021 |
| Language: | English |
| Subject: | Computer Science | Computer Science Artificial Intelligence | Engineering and Technology | Computer Science and Applications | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Computer Science, Berhampur University, Berhampur, Berhampur; 2021 |
| Fulltext: | Shodhganga |
| 003 | IN-AhILN | |
| 005 | 2026-10-16 17:02:18 | |
| 008 | __ | 261016t2021||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_464364 |
| 040 | __ | |dIN-AhILN|aBRMP_760007 |
| 041 | __ | |aeng |
| 100 | __ | |eResearcher|aKapat, Sisira Kumar |
| 110 | __ | |aDepartment of Computer Science|0U-0350|dBerhampur|bBerhampur University, Berhampur|ein |
| 245 | __ | |aAn intelligent spyware detection system based on association mining |
| 260 | __ | |aBerhampur|c2021|bBerhampur University, Berhampur |
| 300 | __ | |a153p.|dDVD |
| 502 | __ | |cDepartment of Computer Science, Berhampur University, Berhampur, Berhampur|d2021|bPhD |
| 518 | __ | |oDate of Award|d2022 |
| 518 | __ | |d2016|oDate of Registration |
| 518 | __ | |oDate of Completion|d2021 |
| 520 | __ | |aThe evolution and revolution of new engineering and technology requires stronger security mechanism to protect data and resources. Spyware is a general term, which is gradually becoming crucial for computer and network security resulting huge compromise in confidentiality, integrity and authenticity of the data source which impacts economy. In this research work, we provide the theoretical description of computer spyware and its types. We have proposed a definition of malware, which is explained in three cases. We have formulated a mathematical definition of malware propagation in a network using the basic concept of geometric progression; and also analyzed the infection rate in a simulated environment. The focus of this research work rate in a simulated environment. The focus of this research work is to detect spyware in user system. We proposed two spyware detection frameworks, for windows as well as for android. Windows spyware detection framework uses API calls extracted from different executable files |
| 650 | __ | |aComputer Science and Applications|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aComputer Science |
| 653 | __ | |aComputer Science Artificial Intelligence |
| 653 | __ | |aEngineering and Technology |
| 700 | __ | |aTripathy, Satya Narayan|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/452998|yShodhganga |
| 905 | __ | |afromsg |
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