Hardware-assisted malware detection for embedded systems
The growth of cyber infrastructures made computer security to be critically important. With that, malware detection is still currently one of the most difficult problems with the increasing threats year after year, as well as a variety of them. As such, this report will be discussing about the purpo...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/163121 |
| _version_ | 1811697580518670336 |
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| author | Peh, Swee Sing |
| author2 | Lam Siew Kei |
| author_facet | Lam Siew Kei Peh, Swee Sing |
| author_sort | Peh, Swee Sing |
| collection | NTU |
| description | The growth of cyber infrastructures made computer security to be critically important. With that, malware detection is still currently one of the most difficult problems with the increasing threats year after year, as well as a variety of them. As such, this report will be discussing about the purpose of this project, whereby malware detection that are based on low level features, Hardware Performance Counters (HPC) will be used to observe and identify malware between benign and malicious programs, as well as discussing on methods that can be used to overcome this issue. |
| first_indexed | 2024-10-01T07:57:31Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/163121 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:57:31Z |
| publishDate | 2022 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1631212022-11-24T08:11:48Z Hardware-assisted malware detection for embedded systems Peh, Swee Sing Lam Siew Kei School of Computer Science and Engineering ASSKLam@ntu.edu.sg Engineering::Computer science and engineering The growth of cyber infrastructures made computer security to be critically important. With that, malware detection is still currently one of the most difficult problems with the increasing threats year after year, as well as a variety of them. As such, this report will be discussing about the purpose of this project, whereby malware detection that are based on low level features, Hardware Performance Counters (HPC) will be used to observe and identify malware between benign and malicious programs, as well as discussing on methods that can be used to overcome this issue. Bachelor of Engineering (Computer Science) 2022-11-24T08:11:47Z 2022-11-24T08:11:47Z 2022 Final Year Project (FYP) Peh, S. S. (2022). Hardware-assisted malware detection for embedded systems. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/163121 https://hdl.handle.net/10356/163121 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering Peh, Swee Sing Hardware-assisted malware detection for embedded systems |
| title | Hardware-assisted malware detection for embedded systems |
| title_full | Hardware-assisted malware detection for embedded systems |
| title_fullStr | Hardware-assisted malware detection for embedded systems |
| title_full_unstemmed | Hardware-assisted malware detection for embedded systems |
| title_short | Hardware-assisted malware detection for embedded systems |
| title_sort | hardware assisted malware detection for embedded systems |
| topic | Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/163121 |
| work_keys_str_mv | AT pehsweesing hardwareassistedmalwaredetectionforembeddedsystems |