Wang, JinTang, YangningHe, ShimingZhao, ChangqingSharma, Pradip KumarAlfarraj, OsamaTolba, Amr2020-07-082020-07-082020-05Wang, J, Tang, Y, He, S, Zhao, C, Sharma, P K, Alfarraj, O & Tolba, A 2020, 'LogEvent2vec : LogEvent-to-vector based anomaly detection for large-scale logs in internet of things', Sensors (Switzerland), vol. 20, no. 9, 2451. https://doi.org/10.3390/s200924511424-8220ORCID: /0000-0001-6620-9083/work/76976513https://hdl.handle.net/2164/14671Funding: This work was funded by the National Natural Science Foundation of China (Nos. 61802030), the Research Foundation of Education Bureau of Hunan Province, China (No. 19B005), and the International Cooperative Project for “Double First-Class”, CSUST (No. 2018IC24), the open research fund of Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications), Ministry of Education (No. JZNY201905), the Open Research Fund of the Hunan Provincial Key Laboratory of Network Investigational Technology (No. 2018WLZC003). This work was funded by the Researchers Supporting Project No. (RSP-2019/102) King Saud University, Riyadh, Saudi Arabia. Acknowledgments: We thank Researchers Supporting Project No. (RSP-2019/102) King Saud University, Riyadh, Saudi Arabia, for funding this research. We thank Francesco Cauteruccio for proofreading this paper.191043977engDevice managementIoTLog anomaly detectionLog eventLog templateWord2veclog anomaly detectionlog templatelog eventword2vecdevice managementQA75 Electronic computers. Computer scienceAnalytical ChemistryInstrumentationAtomic and Molecular Physics, and OpticsElectrical and Electronic EngineeringBiochemistryQA75Journal article10.3390/s20092451http://www.scopus.com/inward/record.url?scp=85084058085&partnerID=8YFLogxK209