{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T19:10:59Z","timestamp":1760469059253,"version":"build-2065373602"},"publisher-location":"New York, NY, USA","reference-count":10,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,9,8]]},"DOI":"10.1145\/3744969.3748440","type":"proceedings-article","created":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T19:14:48Z","timestamp":1757531688000},"page":"97-99","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-Viewpoint Evaluation of Explanation Quality in X-IDS Using Aggregated and Consensus Metrics"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-0598-8150","authenticated-orcid":false,"given":"Mohammed","family":"Alquliti","sequence":"first","affiliation":[{"name":"University of Southampton, Southampton, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8250-4389","authenticated-orcid":false,"given":"Erisa","family":"Karafili","sequence":"additional","affiliation":[{"name":"University of Southampton, Southampton, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5984-9867","authenticated-orcid":false,"given":"BooJoong","family":"Kang","sequence":"additional","affiliation":[{"name":"University of Southampton, Southampton, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,9,10]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics. arXiv preprint arXiv:2505.08006","author":"Alquliti Mohammed","year":"2025","unstructured":"Mohammed Alquliti, Erisa Karafili, and BooJoong Kang. 2025. Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics. arXiv preprint arXiv:2505.08006 (2025). https:\/\/arxiv.org\/abs\/2505.08006"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.3390\/app14104170"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3204171"},{"key":"e_1_3_2_1_4_1","volume-title":"Best Practices: MITRE ATT&CK®\u00ae Mapping.","author":"Cybersecurity and Infrastructure Security Agency (CISA).","year":"2023","unstructured":"Cybersecurity and Infrastructure Security Agency (CISA). 2023. Best Practices: MITRE ATT&CK®\u00ae Mapping."},{"key":"e_1_3_2_1_5_1","volume-title":"Cybersecurity in the AI era: analyzing the impact of machine learning on intrusion detection. Knowledge and Information Systems","author":"Dong Huiyao","year":"2025","unstructured":"Huiyao Dong and Igor Kotenko. 2025. Cybersecurity in the AI era: analyzing the impact of machine learning on intrusion detection. Knowledge and Information Systems (2025), 1--52."},{"key":"e_1_3_2_1_6_1","volume-title":"Smith","author":"Kaloroumakis Peter E.","year":"2021","unstructured":"Peter E. Kaloroumakis and Michael J. Smith. 2021. Toward a Knowledge Graph of Cybersecurity Countermeasures. Technical Report. The MITRE Corporation. https:\/\/d3fend.mitre.org\/resources\/D3FEND.pdf"},{"volume-title":"Anomaly Detection in Networks Using Machine Learning. Master's thesis","author":"Kostas Kahraman","key":"e_1_3_2_1_7_1","unstructured":"Kahraman Kostas. 2018. Anomaly Detection in Networks Using Machine Learning. Master's thesis. University of Essex, Colchester, UK."},{"key":"e_1_3_2_1_8_1","volume-title":"Lundberg and SuIn Lee","author":"Scott","year":"2017","unstructured":"Scott M. Lundberg and SuIn Lee. 2017. A Unified Approach to Interpreting Model Predictions. In NeurIPS 2017. 4765--4774."},{"key":"e_1_3_2_1_9_1","volume-title":"ICISSP","author":"Sharafaldin Iman","year":"2018","unstructured":"Iman Sharafaldin, Arash Habibi Lashkari, and Ali A. Ghorbani. 2018. Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization. In ICISSP 2018. 108--116."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.3390\/sym16070850"}],"event":{"name":"SIGCOMM '25: ACM SIGCOMM 2025 Conference","sponsor":["SIGCOMM ACM Special Interest Group on Data Communication"],"location":"Coimbra Portugal","acronym":"SIGCOMM '25"},"container-title":["Proceedings of the ACM SIGCOMM 2025 Posters and Demos"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3744969.3748440","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T18:28:22Z","timestamp":1760466502000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3744969.3748440"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,8]]},"references-count":10,"alternative-id":["10.1145\/3744969.3748440","10.1145\/3744969"],"URL":"https:\/\/doi.org\/10.1145\/3744969.3748440","relation":{},"subject":[],"published":{"date-parts":[[2025,9,8]]},"assertion":[{"value":"2025-09-10","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}