{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T02:05:25Z","timestamp":1775009125522,"version":"3.50.1"},"reference-count":39,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:00:00Z","timestamp":1750204800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:00:00Z","timestamp":1750204800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,18]]},"DOI":"10.1109\/ntms65597.2025.11076733","type":"proceedings-article","created":{"date-parts":[[2025,7,18]],"date-time":"2025-07-18T17:42:27Z","timestamp":1752860547000},"page":"1-7","source":"Crossref","is-referenced-by-count":1,"title":["Comparative Analysis of SNN and CNN Models for Energy Efficient Intrusion Detection"],"prefix":"10.1109","author":[{"given":"Alina","family":"Fesu","sequence":"first","affiliation":[{"name":"John Moores University,School of Computer Science and Mathematics Liverpool,Liverpool,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nathan","family":"Shone","sequence":"additional","affiliation":[{"name":"John Moores University,School of Computer Science and Mathematics Liverpool,Liverpool,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"\u00c1ine","family":"MacDermott","sequence":"additional","affiliation":[{"name":"John Moores University,School of Computer Science and Mathematics Liverpool,Liverpool,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Zhou","sequence":"additional","affiliation":[{"name":"John Moores University,School of Computer Science and Mathematics Liverpool,Liverpool,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Max","family":"Eiza","sequence":"additional","affiliation":[{"name":"John Moores University,School of Computer Science and Mathematics Liverpool,Liverpool,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/app12168162"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3389\/fphy.2024.1349463"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/technologies12100203"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1093\/itnow\/bwab099"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/brainsci12070863"},{"key":"ref6","first-page":"326","article-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"issue":"1","key":"ref7","article-title":"Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning","volume-title":"J. Mach. Learn. Res","volume":"21","author":"Henderson","year":"2020"},{"key":"ref8","article-title":"Why we need responsible computing","author":"Parmar","year":"2021"},{"key":"ref9","article-title":"Electricity 2024 Analysis and Forecast to 2026","year":"2024","journal-title":"Electricity 2024 Analysis and Forecast to 2026"},{"key":"ref10","article-title":"Google\u2019s Carbon Offsets: Collaboration and Due Diligence","year":"2024"},{"key":"ref11","article-title":"Colab Enterprise locations","year":"2024"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/icwt55831.2022.9935478"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s40747-023-01313-y"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/electronics9060916"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/compcomm.2017.8322786"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-022-04633-x"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2024.050586"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/icnas59892.2023.10330519"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s42979-023-02448-y"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.seta.2022.102983"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/mce.2023.3283730"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2024.054203"},{"key":"ref23","article-title":"Spiking Neural Networks with Single-Spike Temporal-Coded Neurons for Network Intrusion Detection\u2019","author":"Zhou","year":"2020"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.11591\/ijece.v13i2.pp2278-2288"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-11710-2_2"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-99-6706-3_39"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2024.101975"},{"key":"ref28","doi-asserted-by":"crossref","DOI":"10.2139\/ssrn.4644598","article-title":"Measuring Carbon Emission of a Convolutional Neural Network","author":"Zakaria","year":"2023"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-024-10721-6"},{"key":"ref31","first-page":"807","article-title":"Rectified Linear Units Improve Restricted Boltzmann Machines\u2019","volume-title":"Proceedings of the 27th International Conference on International Conference on Machine Learning, in ICML\u201910","author":"Nair"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/access.2018.2863036"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/app122311976"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/tsp.2021.3121632"},{"key":"ref35","article-title":"PyTorch\u2019","year":"2024"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/cisda.2009.5356528"},{"key":"ref37","article-title":"\u2019Google Colab\u2019","year":"2024"},{"key":"ref38","article-title":"Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models","author":"Anthony","year":"2020"},{"key":"ref39","journal-title":"Carbon Intensity Dashboard"}],"event":{"name":"2025 12th IFIP International Conference on New Technologies, Mobility and Security (NTMS)","location":"Paris, France","start":{"date-parts":[[2025,6,18]]},"end":{"date-parts":[[2025,6,20]]}},"container-title":["2025 12th IFIP International Conference on New Technologies, Mobility and Security (NTMS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11076604\/11076612\/11076733.pdf?arnumber=11076733","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,19]],"date-time":"2025-07-19T04:50:46Z","timestamp":1752900646000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11076733\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,18]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/ntms65597.2025.11076733","relation":{},"subject":[],"published":{"date-parts":[[2025,6,18]]}}}