A Human Immunity Inspired Intrusion Detection System to Search for Infections in an Operating System
| Title | A Human Immunity Inspired Intrusion Detection System to Search for Infections in an Operating System |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Widulinski, P., Wawryn, K. |
| Conference Name | 2020 27th International Conference on Mixed Design of Integrated Circuits and System (MIXDES) |
| Keywords | anomaly detection, artificial immune system, composability, composabilty, computer security, computer software, Containers, human immunity inspired intrusion detection system, Immune system, Intrusion detection, intrusion detection system, Metrics, Microsoft Windows, negative selection algorithm, operating system, operating systems (computers), Operating Systems Security, pubcrawl, receptors, resilience, Resiliency, security, security of data, Windows operating system, Windows Operating System Security |
| Abstract | In the paper, an intrusion detection system to safeguard computer software is proposed. The detection is based on negative selection algorithm, inspired by the human immunity mechanism. It is composed of two stages, generation of receptors and anomaly detection. Experimental results of the proposed system are presented, analyzed, and concluded. |
| Citation Key | widulinski_human_2020 |
- human immunity inspired intrusion detection system
- Windows Operating System Security
- Windows operating system
- security of data
- security
- receptors
- operating systems (computers)
- operating system
- negative selection algorithm
- microsoft windows
- intrusion detection system
- Intrusion Detection
- Immune system
- Operating systems security
- Containers
- computer software
- computer security
- composability
- artificial immune system
- Anomaly Detection
- pubcrawl
- Metrics
- composabilty
- resilience
- Resiliency