{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T12:22:31Z","timestamp":1743078151457,"version":"3.40.3"},"publisher-location":"Cham","reference-count":42,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031082221"},{"type":"electronic","value":"9783031082238"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-08223-8_24","type":"book-chapter","created":{"date-parts":[[2022,6,14]],"date-time":"2022-06-14T14:11:04Z","timestamp":1655215864000},"page":"284-296","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An IoT Authentication Framework for Urban Infrastructure Security Using Blockchain and Deep Learning"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3779-6754","authenticated-orcid":false,"given":"Anastasios Panagiotis","family":"Psathas","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6404-1528","authenticated-orcid":false,"given":"Lazaros","family":"Iliadis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0545-7638","authenticated-orcid":false,"given":"Antonios","family":"Papaleonidas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3280-6554","authenticated-orcid":false,"given":"Dimitris","family":"Bountas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,6,10]]},"reference":[{"key":"24_CR1","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1007\/978-981-15-6648-6_10","volume-title":"Computing Science, Communication and Security","author":"H Alqahtani","year":"2020","unstructured":"Alqahtani, H., Sarker, I.H., Kalim, A., Minhaz Hossain, S., Ikhlaq, S., Hossain, S.: Cyber intrusion detection using machine learning classification techniques. In: Chaubey, N., Parikh, S., Amin, K. (eds.) COMS2 2020. CCIS, vol. 1235, pp. 121\u2013131. Springer, Singapore (2020). https:\/\/doi.org\/10.1007\/978-981-15-6648-6_10"},{"issue":"7","key":"24_CR2","first-page":"97","volume":"22","author":"K Ashton","year":"2009","unstructured":"Ashton, K.: That \u2018Internet of Things\u2019 thing. RFID J. 22(7), 97\u2013114 (2009)","journal-title":"RFID J."},{"issue":"3","key":"24_CR3","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1007\/s12599-015-0383-3","volume":"57","author":"F Wortmann","year":"2015","unstructured":"Wortmann, F., Fl\u00fcchter, K.: Internet of things. Bus. Inf. Syst. Eng. 57(3), 221\u2013224 (2015)","journal-title":"Bus. Inf. Syst. Eng."},{"key":"24_CR4","doi-asserted-by":"publisher","first-page":"1454","DOI":"10.1016\/j.jclepro.2016.10.006","volume":"140","author":"BLR Stojkoska","year":"2017","unstructured":"Stojkoska, B.L.R., Trivodaliev, K.V.: A review of Internet of Things for smart home: challenges and solutions. J. Clean. Prod. 140, 1454\u20131464 (2017)","journal-title":"J. Clean. Prod."},{"key":"24_CR5","doi-asserted-by":"crossref","unstructured":"Andrea, I., Chrysostomou, C., Hadjichristofi, G.: Internet of Things: security vulnerabilities and challenges. In: IEEE Symposium on Computers and Communication, pp. 180\u2013187 (2015)","DOI":"10.1109\/ISCC.2015.7405513"},{"key":"24_CR6","first-page":"80","volume":"44","author":"S Mohammadi","year":"2019","unstructured":"Mohammadi, S., Mirvaziri, H., Ghazizadeh-Ahsaee, M., Karimipour, H.: Cyber intrusion detection by combined feature selection algorithm. J. Inf. Secur. Appl. 44, 80\u201388 (2019)","journal-title":"J. Inf. Secur. Appl."},{"issue":"5","key":"24_CR7","doi-asserted-by":"publisher","first-page":"516","DOI":"10.1109\/TSMCC.2010.2048428","volume":"40","author":"M Tavallaee","year":"2010","unstructured":"Tavallaee, M., Stakhanova, N., Ghorbani, A.A.: Toward credible evaluation of anomaly-based intrusion-detection methods. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 40(5), 516\u2013524 (2010)","journal-title":"IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.)"},{"issue":"2","key":"24_CR8","doi-asserted-by":"publisher","first-page":"1153","DOI":"10.1109\/COMST.2015.2494502","volume":"18","author":"AL Buczak","year":"2015","unstructured":"Buczak, A.L., Guven, E.: A survey of data mining and machine learning methods for cyber security intrusion detection. IEEE Commun. Surv. Tutor. 18(2), 1153\u20131176 (2015)","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"24_CR9","series-title":"Proceedings of the International Neural Networks Society","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1007\/978-3-030-80568-5_3","volume-title":"Proceedings of the 22nd Engineering Applications of Neural Networks Conference","author":"AP Psathas","year":"2021","unstructured":"Psathas, A.P., Iliadis, L., Papaleonidas, A., Bountas, D.: A hybrid deep learning ensemble for cyber intrusion detection. In: Iliadis, L., Macintyre, J., Jayne, C., Pimenidis, E. (eds.) EANN 2021. PINNS, vol. 3, pp. 27\u201341. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-80568-5_3"},{"key":"24_CR10","unstructured":"Nakamoto, S.: Bitcoin: a peer-to-peer electronic cash system. Decentralized Bus. Rev. 21260 (2008)"},{"key":"24_CR11","doi-asserted-by":"crossref","unstructured":"Huh, S., Cho, S., Kim, S.: Managing IoT devices using Blockchain platform. In: International Conference on Advanced Communication Technology, pp. 464\u2013467 (2017)","DOI":"10.23919\/ICACT.2017.7890132"},{"key":"24_CR12","doi-asserted-by":"publisher","first-page":"841","DOI":"10.1016\/j.future.2017.08.020","volume":"107","author":"X Li","year":"2020","unstructured":"Li, X., Jiang, P., Chen, T., Luo, X., Wen, Q.: A survey on the security of blockchain systems. Futur. Gener. Comput. Syst. 107, 841\u2013853 (2020)","journal-title":"Futur. Gener. Comput. Syst."},{"issue":"17","key":"24_CR13","doi-asserted-by":"publisher","first-page":"4212","DOI":"10.1016\/j.comcom.2008.09.018","volume":"31","author":"J Yu","year":"2008","unstructured":"Yu, J., Lee, H., Kim, M.S., Park, D.: Traffic flooding attack detection with SNMP MIB using SVM. Comput. Commun. 31(17), 4212\u20134219 (2008)","journal-title":"Comput. Commun."},{"key":"24_CR14","doi-asserted-by":"crossref","unstructured":"Kulkarni, R.V., Venayagamoorthy, G.K.: Neural network based secure media access control protocol for wireless sensor networks. In: Proceedings of the International Joint Conference on Neural Networks, pp. 3437\u20133444, June 2009","DOI":"10.1109\/IJCNN.2009.5179075"},{"issue":"1","key":"24_CR15","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1007\/s10115-011-0474-5","volume":"34","author":"JW Branch","year":"2013","unstructured":"Branch, J.W., Giannella, C., Szymanski, B., Wolff, R., Kargupta, H.: In-network outlier detection in wireless sensor networks. Knowl. Inform. Syst. 34(1), 23\u201354 (2013)","journal-title":"Knowl. Inform. Syst."},{"key":"24_CR16","doi-asserted-by":"crossref","unstructured":"Shi, C., Liu, J., Liu, H., Chen, Y.: Smart user authentication through actuation of daily activities leveraging WiFi-enabled IoT. In: Proceedings of the ACM International Symposium on Mobile AdHoc Networking and Computing, pp. 1\u201310, July 2017","DOI":"10.1145\/3084041.3084061"},{"key":"24_CR17","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1016\/j.comcom.2016.12.001","volume":"98","author":"H Bostani","year":"2017","unstructured":"Bostani, H., Sheikhan, M.: Hybrid of anomaly-based and specification-based IDS for Internet of Things using unsupervised OPF based on MapReduce approach. Comput. Commun. 98, 52\u201371 (2017)","journal-title":"Comput. Commun."},{"key":"24_CR18","unstructured":"Pointcheval, D.: Neural Networks and their Cryptographic Applications. Livre des resumes Eurocode Institute for Research in Computer Science and Automation, 1\u20137 (1994)"},{"key":"24_CR19","doi-asserted-by":"publisher","unstructured":"Kinzel, W., Kanter, I.: Interacting neural networks and cryptography secure exchange of information by synchronization of neural networks. In: Kramer, B. (eds.) Advances in Solid State Physics. ASSP, vol. 42, 383\u2013391. Springer, Heidelberg (2002). https:\/\/doi.org\/10.1007\/3-540-45618-X_30","DOI":"10.1007\/3-540-45618-X_30"},{"key":"24_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1007\/3-540-36178-2_18","volume-title":"Advances in Cryptology \u2014 ASIACRYPT 2002","author":"A Klimov","year":"2002","unstructured":"Klimov, A., Mityagin, A., Shamir, A.: Analysis of neural cryptography. In: Zheng, Y. (ed.) ASIACRYPT 2002. LNCS, vol. 2501, pp. 288\u2013298. Springer, Heidelberg (2002). https:\/\/doi.org\/10.1007\/3-540-36178-2_18"},{"key":"24_CR21","doi-asserted-by":"crossref","unstructured":"Volna, E., Kotyrba, M., Kocian, V., Janosek, M.: Cryptography based on the neural network. In: European Conference on Modelling and Simulation, pp. 1\u20136 (2012)","DOI":"10.7148\/2012-0386-0391"},{"issue":"2","key":"24_CR22","first-page":"177","volume":"24","author":"A Yay\u0131k","year":"2014","unstructured":"Yay\u0131k, A., Kutlu, Y.: Neural network based cryptography. Int. J. Neural Mass - Parallel Comput. Inf. Syst. 24(2), 177\u2013192 (2014)","journal-title":"Int. J. Neural Mass - Parallel Comput. Inf. Syst."},{"key":"24_CR23","doi-asserted-by":"crossref","unstructured":"Xu, D., Xiao, L., Sun, L., Lei, M.: Game theoretic study on blockchain based secure edge networks. In: IEEE International Conference on Communications in China, pp. 1\u20135 (2017)","DOI":"10.1109\/ICCChina.2017.8330529"},{"key":"24_CR24","doi-asserted-by":"crossref","unstructured":"Cha, S.-C., Yeh, K.-H.: An ISO\/IEC 15408-2 compliant security auditing system with blockchain technology. In: IEEE Conference on Communications and Network Security, pp. 1\u20132 (2018)","DOI":"10.1109\/CNS.2018.8433185"},{"issue":"6","key":"24_CR25","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/MCC.2018.064181116","volume":"5","author":"K Gai","year":"2018","unstructured":"Gai, K., Raymond, K.-K., Zhu, L.: Blockchain-enabled reengineering of cloud datacenters. IEEE Cloud Comput. 5(6), 21\u201325 (2018)","journal-title":"IEEE Cloud Comput."},{"key":"24_CR26","doi-asserted-by":"crossref","unstructured":"Gupta, Y., Shorey, R., Kulkarni, D., Tew, J.: The applicability of blockchain in the Internet of Things. In: IEEE International Conference on Communication Systems & Networks, pp. 561\u2013564 (2018)","DOI":"10.1109\/COMSNETS.2018.8328273"},{"key":"24_CR27","doi-asserted-by":"crossref","unstructured":"Agrawal, R., et al.: Continuous security in IoT using blockchain. In: IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 6423\u20136427 (2018)","DOI":"10.1109\/ICASSP.2018.8462513"},{"key":"24_CR28","series-title":"IFIP Advances in Information and Communication Technology","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1007\/978-3-030-19823-7_4","volume-title":"Artificial Intelligence Applications and Innovations","author":"W Serrano","year":"2019","unstructured":"Serrano, W.: The blockchain random neural network in cybersecurity and the Internet of Things. In: MacIntyre, J., Maglogiannis, I., Iliadis, L., Pimenidis, E. (eds.) AIAI 2019. IAICT, vol. 559, pp. 50\u201363. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-19823-7_4"},{"key":"24_CR29","doi-asserted-by":"crossref","unstructured":"Giannoutakis, K.M., et al.: A blockchain solution for enhancing cybersecurity defence of IoT. In: 2020 IEEE International Conference on Blockchain (Blockchain), pp. 490\u2013495. IEEE, November 2020","DOI":"10.1109\/Blockchain50366.2020.00071"},{"key":"24_CR30","doi-asserted-by":"crossref","unstructured":"Demertzis, K., Iliadis, L., Tziritas, N., Kikiras, P.: Anomaly detection via blockchained deep learning smart contracts in industry 4.0. Neural Comput. Appl. 32(23), 17361\u201317378 (2020)","DOI":"10.1007\/s00521-020-05189-8"},{"key":"24_CR31","doi-asserted-by":"crossref","unstructured":"Yaga, D.J., Mell, P.M., Roby, N., Scarfone, K.: Blockchain technology overview. Nat. Inst. Standards Technol., Gaithersburg, MD, USA, Technical report 8202 (2018)","DOI":"10.6028\/NIST.IR.8202"},{"issue":"6","key":"24_CR32","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1109\/MWC.2017.1800116","volume":"25","author":"Y Yu","year":"2018","unstructured":"Yu, Y., Li, Y., Tian, J., Liu, J.: Blockchain-based solutions to security and privacy issues in the Internet of Things. IEEE Wirel. Commun. 25(6), 12\u201318 (2018)","journal-title":"IEEE Wirel. Commun."},{"key":"24_CR33","doi-asserted-by":"publisher","first-page":"117802","DOI":"10.1109\/ACCESS.2020.3004662","volume":"8","author":"S Arif","year":"2020","unstructured":"Arif, S., Khan, M.A., Rehman, S.U., Kabir, M.A., Imran, M.: Investigating smart home security: is blockchain the answer? IEEE Access 8, 117802\u2013117816 (2020)","journal-title":"IEEE Access"},{"issue":"5","key":"24_CR34","doi-asserted-by":"publisher","first-page":"978","DOI":"10.1109\/TNNLS.2015.2431251","volume":"27","author":"DS Yeung","year":"2015","unstructured":"Yeung, D.S., Li, J.C., Ng, W.W., Chan, P.P.: MLPNN training via a multiobjective optimization of training error and stochastic sensitivity. IEEE Trans. Neural Netw. Learn. Syst. 27(5), 978\u2013992 (2015)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"5","key":"24_CR35","doi-asserted-by":"publisher","first-page":"1657","DOI":"10.3390\/app10051657","volume":"10","author":"J Baek","year":"2020","unstructured":"Baek, J., Choi, Y.: Deep neural network for predicting ore production by truck-haulage systems in open-pit mines. Appl. Sci. 10(5), 1657 (2020)","journal-title":"Appl. Sci."},{"key":"24_CR36","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.neucom.2016.12.038","volume":"234","author":"W Liu","year":"2017","unstructured":"Liu, W., Wang, Z., Liu, X., Zeng, N., Liu, Y., Alsaadi, F.E.: A survey of deep neural network architectures and their applications. Neurocomputing 234, 11\u201326 (2017)","journal-title":"Neurocomputing"},{"key":"24_CR37","unstructured":"O\u2019Shea, K., Nash, R.: An introduction to convolutional neural networks. arXiv preprint arXiv:1511.08458(2015)"},{"key":"24_CR38","first-page":"653","volume":"19","author":"I-C Lin","year":"2017","unstructured":"Lin, I.-C., Liao, T.-C.: A survey of blockchain security issues and challenges. Int. J. Netw. Secur. 19, 653\u2013659 (2017)","journal-title":"Int. J. Netw. Secur."},{"key":"24_CR39","doi-asserted-by":"crossref","unstructured":"Wilson, L.: GPU prices and cryptocurrency returns. Appl. Financ. Lett. 11(1), 2\u20138 (2022)","DOI":"10.24135\/afl.v11i1.503"},{"key":"24_CR40","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. Adv. Neural Inf. Process. Syst. 25, 1097\u20131105 (2012). https:\/\/dl.acm.org\/doi\/10.5555\/2999134.2999257"},{"key":"24_CR41","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556(2014)"},{"key":"24_CR42","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"}],"container-title":["Communications in Computer and Information Science","Engineering Applications of Neural Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-08223-8_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,14]],"date-time":"2022-06-14T14:14:28Z","timestamp":1655216068000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-08223-8_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031082221","9783031082238"],"references-count":42,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-08223-8_24","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"10 June 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Engineering Applications of Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chersonisos, Crete","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 June 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 June 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eann2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eannconf.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}