IoT-based intrusion detection systems: a review
| dc.contributor.author | Mohamed, Tamara Saad | |
| dc.contributor.author | Aydın, Sezgin | |
| dc.date.accessioned | 2021-12-10T05:03:03Z | |
| dc.date.available | 2021-12-10T05:03:03Z | |
| dc.date.issued | 2021 | |
| dc.department | Mühendislik Fakültesi | |
| dc.description.abstract | Internet of Things (IoT) is a modern prototype that merges physical entities affiliated with a variety of fields, like industrial tasks, firm automation, mortal fitness, and habitat observance with the internet. It intensifies the occupancy of Internet-linked objects in everyday tasks, resulting in issues linked to security besides usefulness. For many years, Intrusion Detection Systems (IDS) have proven to be advantageous for guarding information systems and networks. Conversely, enacting old IDS procedures on IoT is unrealistic owing to some specific elements. For instance, specific protocol stacks, strained-asset gadgets, and measures. This study furnishes inspection of IDS inquiry achievements for IoT. The objective entails the establishment of key biases, general drawbacks, and inquiry guidelines. Grouping of the suggested IDSs was undertaken in the state-of-art regarding the subsequent qualities: discernment technique, IDS placement procedure, security peril, and confirmation procedure. The paper further considered every attribute shortcoming, exploring views of material with suggestions on certain IDS procedures for IoT or inaugurating attack distinguishing procedures for IoT menaces with the possibility of being fixed in IDSs. | |
| dc.identifier.doi | 10.1080/23080477.2021.1972914 | |
| dc.identifier.endpage | - | en_US |
| dc.identifier.issn | 2308-0477 | |
| dc.identifier.issue | - | en_US |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | - | en_US |
| dc.identifier.uri | https:/dx.doi.org/10.1080/23080477.2021.1972914 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12451/8915 | |
| dc.identifier.volume | - | en_US |
| dc.identifier.wosquality | N/A | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Taylor and Francis Ltd. | |
| dc.relation.ispartof | Smart Science | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | Anomaly Detection | |
| dc.subject | Internet of Things | |
| dc.subject | Intrusion Detection System | |
| dc.subject | Misuse Detection | |
| dc.subject | Security | |
| dc.title | IoT-based intrusion detection systems: a review | |
| dc.type | Other |
