{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T15:36:05Z","timestamp":1774539365635,"version":"3.50.1"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T00:00:00Z","timestamp":1744243200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T00:00:00Z","timestamp":1744243200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"DEVCOM ARL Army Research Office","award":["W911NF-21-1-0326"],"award-info":[{"award-number":["W911NF-21-1-0326"]}]},{"name":"DEVCOM ARL Army Research Office","award":["W911NF-21-1-0326"],"award-info":[{"award-number":["W911NF-21-1-0326"]}]},{"name":"DEVCOM ARL Army Research Office","award":["W911NF-21-1-0326"],"award-info":[{"award-number":["W911NF-21-1-0326"]}]},{"name":"EPSRC grant, Alan Turing Institute","award":["EP\/V049038\/1,  EP\/N510129\/1"],"award-info":[{"award-number":["EP\/V049038\/1,  EP\/N510129\/1"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2025,9]]},"DOI":"10.1007\/s00371-025-03880-2","type":"journal-article","created":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T06:59:55Z","timestamp":1744268395000},"page":"8487-8506","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Arpotcam: augmented reality-driven honeypot for enhancing security in IoT surveillance systems"],"prefix":"10.1007","volume":"41","author":[{"given":"Volviane Saphir","family":"Mfogo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alain","family":"Zemkoho","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laurent","family":"Njilla","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcellin","family":"Nkenlifack","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Charles","family":"Kamhoua","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,4,10]]},"reference":[{"issue":"2","key":"3880_CR1","doi-asserted-by":"publisher","first-page":"1191","DOI":"10.1109\/COMST.2019.2962586","volume":"22","author":"M Stoyanova","year":"2020","unstructured":"Stoyanova, M., Nikoloudakis, Y., Panagiotakis, S., Pallis, E., Markakis, E.K.: A survey on the internet of things (IoT) forensics: challenges, approaches, and open issues. IEEE Communicat. Surv. Tutor. 22(2), 1191\u20131221 (2020)","journal-title":"IEEE Communicat. Surv. Tutor."},{"key":"3880_CR2","doi-asserted-by":"publisher","first-page":"100467","DOI":"10.1016\/j.cosrev.2022.100467","volume":"44","author":"E Schiller","year":"2022","unstructured":"Schiller, E., Aidoo, A., Fuhrer, J., Stahl, J., Zi\u00f6rjen, M., Stiller, B.: Landscape of IoT security. Comput. Sci. Rev. 44, 100467 (2022)","journal-title":"Comput. Sci. Rev."},{"key":"3880_CR3","doi-asserted-by":"publisher","first-page":"107289","DOI":"10.1016\/j.chb.2022.107289","volume":"133","author":"PA Rauschnabel","year":"2022","unstructured":"Rauschnabel, P.A., Felix, R., Hinsch, C., Shahab, H., Alt, F.: What is XR? Towards a framework for augmented and virtual reality. Comput. Hum. Behav. 133, 107289 (2022)","journal-title":"Comput. Hum. Behav."},{"key":"3880_CR4","unstructured":"Zhu, M., Anwar, A.H., Wan, Z., Cho, J.H., Kamhoua, C., Singh, M.P.: \"Game-theoretic and machine learning-based approaches for defensive deception: A survey,\" arXiv preprint arXiv:2101.10121 (2021)"},{"key":"3880_CR5","doi-asserted-by":"publisher","first-page":"110853","DOI":"10.1016\/j.comnet.2024.110853","volume":"255","author":"VS Mfogo","year":"2024","unstructured":"Mfogo, V.S., Zemkoho, A., Njilla, L., Nkenlifack, M., Kamhoua, C.: Adaptive learning-based hybrid recommender system for deception in Internet of Things. Comput. Netw. 255, 110853 (2024). https:\/\/doi.org\/10.1016\/j.comnet.2024.110853","journal-title":"Comput. Netw."},{"issue":"4","key":"3880_CR6","doi-asserted-by":"publisher","first-page":"2351","DOI":"10.1109\/COMST.2021.3106669","volume":"23","author":"J Franco","year":"2021","unstructured":"Franco, J., Aris, A., Canberk, B., Uluagac, A.S.: A survey of honeypots and honeynets for Internet of things, industrial Internet of things, and cyber-physical systems. IEEE Communicat. Surv. Tutor. 23(4), 2351\u20132383 (2021)","journal-title":"IEEE Communicat. Surv. Tutor."},{"issue":"4","key":"3880_CR7","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1162\/pres.1997.6.4.355","volume":"6","author":"R Azuma","year":"1997","unstructured":"Azuma, R.: A Survey of Augmented Reality. Presence Teleop. Virt. 6(4), 355\u2013385 (1997). https:\/\/doi.org\/10.1162\/pres.1997.6.4.355","journal-title":"Presence Teleop. Virt."},{"key":"3880_CR8","unstructured":"Provos, N.: \"Honeyd - A Virtual Honeypot Daemon.\" In: 10th DFN-CERT Workshop, Hamburg, Germany, vol. 2, pp. 4 (2003)"},{"key":"3880_CR9","first-page":"11","volume":"1","author":"T Luo","year":"2017","unstructured":"Luo, T., Xu, Z., Jin, X., Jia, Y., Ouyang, X.: Iotcandyjar: Towards an intelligent-interaction honeypot for IoT devices. Black Hat 1, 11 (2017)","journal-title":"Black Hat"},{"key":"3880_CR10","doi-asserted-by":"crossref","unstructured":"Yamamoto, M., Kakei, S., Saito, S.: \"FirmPot: A Framework for Intelligent-Interaction Honeypots Using Firmware of IoT Devices.\" In: 2021 Ninth International Symposium on Computing and Networking Workshops (CANDARW), pp. 405-411, IEEE (2021)","DOI":"10.1109\/CANDARW53999.2021.00074"},{"key":"3880_CR11","unstructured":"Wang, M., Santillan, J., Kuipers, F.: \"Thingpot: An Interactive Internet-of-Things Honeypot,\" arXiv preprint arXiv:1807.04114 (2018)"},{"key":"3880_CR12","doi-asserted-by":"crossref","unstructured":"Pa, Y.M., Suzuki, S., Yoshioka, K., Matsumoto, T., Kasama, T., Rossow, C.: IoTPOT: A Novel Honeypot for Revealing Current IoT Threats. Journal of Information Processing 24(3), 522\u2013533 (2016). [Online]. Available: https:\/\/www.jstage.jst.go.jp\/article\/ipsjjip\/24\/3\/24_522\/_article","DOI":"10.2197\/ipsjjip.24.522"},{"issue":"13","key":"3880_CR13","doi-asserted-by":"publisher","first-page":"11604","DOI":"10.1109\/JIOT.2021.3130156","volume":"9","author":"IA Khan","year":"2022","unstructured":"Khan, I.A., Moustafa, N., Pi, D., Sallam, K.M., Zomaya, A.Y., Li, B.: A new explainable deep learning framework for cyber threat discovery in industrial IIoT networks. IEEE Internet Things J. 9(13), 11604\u201311613 (2022). https:\/\/doi.org\/10.1109\/JIOT.2021.3130156","journal-title":"IEEE Internet Things J."},{"issue":"12","key":"3880_CR14","doi-asserted-by":"publisher","first-page":"25469","DOI":"10.1109\/TITS.2021.3105834","volume":"23","author":"IA Khan","year":"2022","unstructured":"Khan, I.A., Moustafa, N., Pi, D., Haider, W., Li, B., Jolfaei, A.: An enhanced multi-stage deep learning framework for detecting malicious activities from autonomous vehicles. IEEE Trans. Intell. Transp. Syst. 23(12), 25469\u201325478 (2022). https:\/\/doi.org\/10.1109\/TITS.2021.3105834","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"3880_CR15","doi-asserted-by":"crossref","unstructured":"Ellouh, M., Ghaleb, M., Felemban, M.: \"IoTZeroJar: Towards a Honeypot architecture for detection of zero-day attacks in IoT.\" In: 2022 14th international conference on computational intelligence and communication networks (CICN), pp. 765-771 (2022)","DOI":"10.1109\/CICN56167.2022.10008323"},{"key":"3880_CR16","doi-asserted-by":"crossref","unstructured":"Guan, C., Liu, H., Cao, G., Zhu, S., La Porta, T.: \"HoneyIoT: Adaptive High-Interaction Honeypot for IoT Devices Through Reinforcement Learning,\" arXiv preprint arXiv:2305.06430 (2023)","DOI":"10.1145\/3558482.3590195"},{"key":"3880_CR17","doi-asserted-by":"publisher","unstructured":"Mfogo, V.S., Zemkoho, A., Njilla, L., Nkenlifack, M., Kamhoua, C.: \"AIIPot: Adaptive Intelligent-Interaction Honeypot for IoT Devices.\" In: Proceedings of the 2023 IEEE International symposium on personal, indoor and mobile radio communications (PIMRC), Toronto, ON, Canada, pp. 1-6 (2023), https:\/\/doi.org\/10.1109\/PIMRC56721.2023.10293827","DOI":"10.1109\/PIMRC56721.2023.10293827"},{"issue":"7","key":"3880_CR18","doi-asserted-by":"publisher","first-page":"2792","DOI":"10.3390\/s22072792","volume":"22","author":"NM Alzahrani","year":"2022","unstructured":"Alzahrani, N.M., Alfouzan, F.A.: Augmented reality (AR) and cyber-security for smart cities-A systematic literature review. Sensors 22(7), 2792 (2022)","journal-title":"Sensors"},{"key":"3880_CR19","doi-asserted-by":"crossref","unstructured":"Hakim, M.A., Aksu, H., Uluagac, A.S., Akkaya, K.: \"U-pot: A honeypot framework for UPnP-based IoT devices.\" In: 2018 IEEE 37th international performance computing and communications conference (IPCCC), pp. 1-8, IEEE (2018)","DOI":"10.1109\/PCCC.2018.8711321"},{"key":"3880_CR20","doi-asserted-by":"crossref","unstructured":"Tabari, A.Z., Ou, X.: \"A multi-phased multi-faceted IoT honeypot ecosystem.\" In: Proceedings of the 2020 ACM SIGSAC conference on computer and communications security, pp. 2121-2123 (2020)","DOI":"10.1145\/3372297.3420023"},{"key":"3880_CR21","doi-asserted-by":"crossref","unstructured":"Guarnizo, J.D., Tambe, A., Bhunia, S.S., Ochoa, M., Tippenhauer, N.O., Shabtai, A., Elovici, Y.: \"Siphon: towards scalable high-interaction physical honeypots.\" In: ACM Workshop on Cyber-Physical System Security (CPSS) (2017)","DOI":"10.1145\/3055186.3055192"},{"key":"3880_CR22","doi-asserted-by":"crossref","unstructured":"Wang, B., Dou, Y., Sang, Y., Zhang, Y., Huang, J.: \"IoTCMal: Towards a hybrid IoT honeypot for capturing and analyzing malware.\" In: ICC 2020-2020 IEEE international conference on communications (ICC), pp. 1-7 (2020)","DOI":"10.1109\/ICC40277.2020.9149314"},{"key":"3880_CR23","doi-asserted-by":"crossref","unstructured":"Guan, C., Chen, X., Cao, G., Zhu, S., La Porta, T.: HoneyCam: Scalable high-interaction honeypot for surveillance cameras based on 360-Degree Video. IEEE conference on communications and network security (CNS) 2022, 82\u201390 (2022)","DOI":"10.1109\/CNS56114.2022.9947265"},{"key":"3880_CR24","unstructured":"Johannesson, S., Pettersson, V.: \"Security analysis of a modern smart camera\" (2022)"},{"key":"3880_CR25","doi-asserted-by":"crossref","unstructured":"Van Hasselt, H., Guez, A., Silver, D.: \"Deep reinforcement learning with double q-learning.\" In: proceedings of the AAAI conference on artificial intelligence, vol. 30, no. 1 (2016)","DOI":"10.1609\/aaai.v30i1.10295"},{"key":"3880_CR26","unstructured":"O\u2019Donoghue, B., Osband, I., Munos, R., Mnih, V.: \"The uncertainty Bellman equation and exploration.\" In: international conference on machine learning, pp. 3836-3845 (2018)"},{"key":"3880_CR27","doi-asserted-by":"crossref","unstructured":"Huang, Y.: \"Deep Q-networks.\" In: Deep Reinforcement Learning: Fundamentals, Research and Applications, pp. 135-160, Springer (2020)","DOI":"10.1007\/978-981-15-4095-0_4"},{"key":"3880_CR28","doi-asserted-by":"crossref","unstructured":"Michiels, N., Jorissen, L., Put, J., Bekaert, P.: \"Interactive augmented omnidirectional video with realistic lighting.\" In: international conference on augmented and virtual reality, pp. 247-263, Springer (2014)","DOI":"10.1007\/978-3-319-13969-2_19"},{"key":"3880_CR29","doi-asserted-by":"crossref","unstructured":"Tarko, J., Tompkin, J., Richardt, C.: \"Real-time virtual object insertion for moving 360 videos.\" In: Proceedings of the 17th international conference on virtual-reality continuum and its applications in industry, pp. 1-9 (2019)","DOI":"10.1145\/3359997.3365708"},{"key":"3880_CR30","doi-asserted-by":"publisher","first-page":"713","DOI":"10.1007\/s11554-014-0423-0","volume":"11","author":"A Plyer","year":"2016","unstructured":"Plyer, A., Le Besnerais, G., Champagnat, F.: Massively parallel Lucas Kanade optical flow for real-time video processing applications. J. Real-Time Image Proc. 11, 713\u2013730 (2016)","journal-title":"J. Real-Time Image Proc."},{"key":"3880_CR31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-47612-4","volume-title":"Kalman filtering with real-time applications","author":"CK Chui","year":"2017","unstructured":"Chui, C.K., Chen, G.: Kalman filtering with real-time applications. Springer, Berlin Heidelberg (2017)"},{"issue":"10","key":"3880_CR32","doi-asserted-by":"publisher","first-page":"6877","DOI":"10.1002\/int.22866","volume":"37","author":"T Tu","year":"2022","unstructured":"Tu, T., Qin, J., Zhang, H., Chen, M., Xu, T., Huang, Y.: A comprehensive study of Mozi botnet. Int. J. Intell. Syst. 37(10), 6877\u20136908 (2022)","journal-title":"Int. J. Intell. Syst."},{"key":"3880_CR33","unstructured":"Gvozdenovic, S., Becker, J.K., Mikulskis, J., Starobinski, D.: \"IoT-Scan: Network Reconnaissance for the Internet of Things,\" arXiv preprint arXiv:2204.02538 (2022)"},{"issue":"16","key":"3880_CR34","doi-asserted-by":"publisher","first-page":"4423","DOI":"10.3390\/s20164423","volume":"20","author":"C Yuan","year":"2020","unstructured":"Yuan, C., Du, J., Yue, M., Ma, T.: The design of large scale IP address and port scanning tool. Sensors 20(16), 4423 (2020)","journal-title":"Sensors"},{"key":"3880_CR35","unstructured":"Shodan: Search Engine for the Internet of Everything. Available: https:\/\/www.shodan.io\/, Accessed: May 15, 2024"}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-025-03880-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-025-03880-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-025-03880-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T10:49:39Z","timestamp":1757155779000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-025-03880-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,10]]},"references-count":35,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2025,9]]}},"alternative-id":["3880"],"URL":"https:\/\/doi.org\/10.1007\/s00371-025-03880-2","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"value":"0178-2789","type":"print"},{"value":"1432-2315","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4,10]]},"assertion":[{"value":"5 March 2025","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 April 2025","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing of interests"}}]}}