Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems Abdel-Basset, M, Moustafa, N, Hawash, H, Razzak, Imran, Sallam, KM and Elkomy, OM 2021, Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems, IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 3, doi: 10.1109/TITS.2021.3119968. Attached Files Name Description MIMEType Size Downloads Title Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems Author(s) Abdel-Basset, M Moustafa, N Hawash, H Razzak, Imran orcid.org/0000-0002-3930-6600 Sallam, KM Elkomy, OM Journal name IEEE Transactions on Intelligent Transportation Systems Volume number 23 Issue number 3 Total pages 15 Publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC Publication date 2021-01-01 ISSN 1524-9050 1558-0016 Keyword(s) Science & Technology Technology Engineering, Civil Engineering, Electrical & Electronic Transportation Science & Technology Engineering Transportation Security Blockchains Intrusion detection Training Servers Feature extraction Deep learning Federated learning deep learning (DL) intrusion detection system (IDS) vehicular edge computing (VEC) blockchain IOT INTELLIGENCE TELEMETRY ATTACKS Language eng DOI 10.1109/TITS.2021.3119968 Field of Research 0801 Artificial Intelligence and Image Processing 0905 Civil Engineering 1507 Transportation and Freight Services HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30158402 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 12 Nov 2021, 07:13:06 EST Tue, 16 Nov 2021, 07:50:47 EST Sat, 20 Nov 2021, 01:45:55 EST Sat, 08 Jan 2022, 01:31:13 EST Thu, 13 Jan 2022, 15:43:39 EST Fri, 14 Jan 2022, 05:05:40 EST Fri, 28 Jan 2022, 10:14:20 EST Fri, 28 Jan 2022, 13:27:43 EST Fri, 28 Jan 2022, 13:32:43 EST Fri, 28 Jan 2022, 13:45:33 EST Wed, 23 Mar 2022, 13:13:52 EST Filtered Full Citation counts:   Cited 4 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 30 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Thu, 13 Jan 2022, 15:43:39 EST