A Systematic Literature Review on Host-Based Intrusion Detection Systems
With the advancements in computer networks and systems, the number of security vulnerabilities and cyber attacks targeting/using these vulnerabilities continues to increase. Consequently, various intrusion detection systems (IDS) have been developed to detect cyber attacks and ensure information sec...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10439152/ |
| _version_ | 1797296343315644416 |
|---|---|
| author | Hami Satilmis Sedat Akleylek Zaliha Yuce Tok |
| author_facet | Hami Satilmis Sedat Akleylek Zaliha Yuce Tok |
| author_sort | Hami Satilmis |
| collection | DOAJ |
| description | With the advancements in computer networks and systems, the number of security vulnerabilities and cyber attacks targeting/using these vulnerabilities continues to increase. Consequently, various intrusion detection systems (IDS) have been developed to detect cyber attacks and ensure information security. IDSs are categorized into two classes based on the data sources: Network-based intrusion detection system (NIDS) and host-based intrusion detection system (HIDS). In this systematic literature review (SLR), studies are examined that focus on HIDS or propose methods applicable to HIDS, as well as those related to IDSs that can be converted into HIDSs. The studies published between 2020 and 2023 are collected from widely used academic databases through various query statements. Filtering based on specific selection and elimination criteria is undergone by the collected studies, resulting in 21 studies for examination. Subsequently, these studies and their advantages and disadvantages are discussed. In addition, while examining the studies, five research questions are addressed. Finally, the defects, potential areas for improvement, and future research directions related to HIDSs are discussed. |
| first_indexed | 2024-03-07T22:03:16Z |
| format | Article |
| id | doaj.art-72805f5916474587bf7d4a7f0811fb9e |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-07T22:03:16Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-72805f5916474587bf7d4a7f0811fb9e2024-02-24T00:01:01ZengIEEEIEEE Access2169-35362024-01-0112272372726610.1109/ACCESS.2024.336700410439152A Systematic Literature Review on Host-Based Intrusion Detection SystemsHami Satilmis0https://orcid.org/0000-0002-6611-7549Sedat Akleylek1https://orcid.org/0000-0001-7005-6489Zaliha Yuce Tok2Department of Computer Engineering, Ondokuz Mayıs University, Samsun, TurkeyDepartment of Computer Engineering, İstinye University, Istanbul, TurkeyASELSAN, Ankara, TurkeyWith the advancements in computer networks and systems, the number of security vulnerabilities and cyber attacks targeting/using these vulnerabilities continues to increase. Consequently, various intrusion detection systems (IDS) have been developed to detect cyber attacks and ensure information security. IDSs are categorized into two classes based on the data sources: Network-based intrusion detection system (NIDS) and host-based intrusion detection system (HIDS). In this systematic literature review (SLR), studies are examined that focus on HIDS or propose methods applicable to HIDS, as well as those related to IDSs that can be converted into HIDSs. The studies published between 2020 and 2023 are collected from widely used academic databases through various query statements. Filtering based on specific selection and elimination criteria is undergone by the collected studies, resulting in 21 studies for examination. Subsequently, these studies and their advantages and disadvantages are discussed. In addition, while examining the studies, five research questions are addressed. Finally, the defects, potential areas for improvement, and future research directions related to HIDSs are discussed.https://ieeexplore.ieee.org/document/10439152/Intrusion detection systemhost-based intrusion detection systeminformation securitymachine learningdeep learning |
| spellingShingle | Hami Satilmis Sedat Akleylek Zaliha Yuce Tok A Systematic Literature Review on Host-Based Intrusion Detection Systems IEEE Access Intrusion detection system host-based intrusion detection system information security machine learning deep learning |
| title | A Systematic Literature Review on Host-Based Intrusion Detection Systems |
| title_full | A Systematic Literature Review on Host-Based Intrusion Detection Systems |
| title_fullStr | A Systematic Literature Review on Host-Based Intrusion Detection Systems |
| title_full_unstemmed | A Systematic Literature Review on Host-Based Intrusion Detection Systems |
| title_short | A Systematic Literature Review on Host-Based Intrusion Detection Systems |
| title_sort | systematic literature review on host based intrusion detection systems |
| topic | Intrusion detection system host-based intrusion detection system information security machine learning deep learning |
| url | https://ieeexplore.ieee.org/document/10439152/ |
| work_keys_str_mv | AT hamisatilmis asystematicliteraturereviewonhostbasedintrusiondetectionsystems AT sedatakleylek asystematicliteraturereviewonhostbasedintrusiondetectionsystems AT zalihayucetok asystematicliteraturereviewonhostbasedintrusiondetectionsystems AT hamisatilmis systematicliteraturereviewonhostbasedintrusiondetectionsystems AT sedatakleylek systematicliteraturereviewonhostbasedintrusiondetectionsystems AT zalihayucetok systematicliteraturereviewonhostbasedintrusiondetectionsystems |