Design security schemes against insider attacks
Organisations often place utmost concerns to deter external cyber threats from the network perimeter. However, there has been a growing concern to detect insider threats as it can also cause adverse effects to the organisational assets such as theft of intellectual property and sabotage of network s...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2019
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| Online Access: | http://hdl.handle.net/10356/78349 |
| _version_ | 1826124345075826688 |
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| author | Goh, Jun Wei |
| author2 | Ma Maode |
| author_facet | Ma Maode Goh, Jun Wei |
| author_sort | Goh, Jun Wei |
| collection | NTU |
| description | Organisations often place utmost concerns to deter external cyber threats from the network perimeter. However, there has been a growing concern to detect insider threats as it can also cause adverse effects to the organisational assets such as theft of intellectual property and sabotage of network systems. Insiders are people who have certain level of privileged access to the organisation’s system which allowed them to exfiltrate confidential data for personal gain. Hence, this makes detecting insider threats challenging as their activities may mimic legitimate users’ actions. Nevertheless, an early detection of malicious activities can help organisation to mitigate potential loss of organisational asset. This project attempt to study the application of a statistical model, logistic regression to detect insider threats. |
| first_indexed | 2024-10-01T06:19:06Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/78349 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:19:06Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-10356/783492023-07-07T17:14:28Z Design security schemes against insider attacks Goh, Jun Wei Ma Maode School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Organisations often place utmost concerns to deter external cyber threats from the network perimeter. However, there has been a growing concern to detect insider threats as it can also cause adverse effects to the organisational assets such as theft of intellectual property and sabotage of network systems. Insiders are people who have certain level of privileged access to the organisation’s system which allowed them to exfiltrate confidential data for personal gain. Hence, this makes detecting insider threats challenging as their activities may mimic legitimate users’ actions. Nevertheless, an early detection of malicious activities can help organisation to mitigate potential loss of organisational asset. This project attempt to study the application of a statistical model, logistic regression to detect insider threats. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-18T09:19:33Z 2019-06-18T09:19:33Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/78349 en Nanyang Technological University 47 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Goh, Jun Wei Design security schemes against insider attacks |
| title | Design security schemes against insider attacks |
| title_full | Design security schemes against insider attacks |
| title_fullStr | Design security schemes against insider attacks |
| title_full_unstemmed | Design security schemes against insider attacks |
| title_short | Design security schemes against insider attacks |
| title_sort | design security schemes against insider attacks |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/78349 |
| work_keys_str_mv | AT gohjunwei designsecurityschemesagainstinsiderattacks |