{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T07:03:04Z","timestamp":1780297384173,"version":"3.54.0"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031789274","type":"print"},{"value":"9783031789281","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-78928-1_33","type":"book-chapter","created":{"date-parts":[[2025,7,14]],"date-time":"2025-07-14T06:11:17Z","timestamp":1752473477000},"page":"330-341","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Assessing Security Weakness Through IoT Sensor Data Manipulation"],"prefix":"10.1007","author":[{"given":"D. K.","family":"Niranjan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M.","family":"Supriya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,15]]},"reference":[{"key":"33_CR1","doi-asserted-by":"crossref","unstructured":"Rakesh, N.: Performance analysis of anomaly detection of different IoT datasets using cloud micro services. In: 2016 International Conference on Inventive Computation Technologies (ICICT), 3, pp. 1\u20135. IEEE (2016)","DOI":"10.1109\/INVENTIVE.2016.7830157"},{"key":"33_CR2","doi-asserted-by":"crossref","unstructured":"Sreedharan, S., Rakesh, N.: Securitization of smart home network using dynamic authentication. In: International conference on Computer Networks and Inventive Communication Technologies (ICCNCT) (2018)","DOI":"10.1007\/978-981-10-8681-6_27"},{"key":"33_CR3","doi-asserted-by":"crossref","unstructured":"Niranjan, D.K., Rakesh, N.: Smart surveillance system by face recognition and tracking using machine learning techniques. In: Smys, S., Tavares, J.M.R.S., Bestak, R., Shi, F. (eds.) Computational Vision and Bio-Inspired Computing. Advances in Intelligent Systems and Computing, vol 1318. Springer, Singapore (2021)","DOI":"10.1007\/978-981-33-6862-0_1"},{"key":"33_CR4","doi-asserted-by":"crossref","unstructured":"Irawan, J.D., Adriantantri, E., Farid, A.: RFID and IOT for attendance management system. MATEC Web of Conferences (ICESTI), 164, 01020 (2018)","DOI":"10.1051\/matecconf\/201816401020"},{"issue":"5","key":"33_CR5","doi-asserted-by":"publisher","first-page":"8182","DOI":"10.1109\/JIOT.2019.2935189","volume":"6","author":"F Meneghello","year":"2019","unstructured":"Meneghello, F., Calore, M., Zucchetto, D., Polese, M., Zanella, A.: IoT: Internet of threats? A survey of practical security vulnerabilities in real IoT devices. IEEE Internet Things J. 6(5), 8182\u20138201 (2019)","journal-title":"IEEE Internet Things J."},{"key":"33_CR6","doi-asserted-by":"crossref","unstructured":"Lu, Y., Xu, L.D.: Internet of Things (IoT) cybersecurity research: a review of current research topics.\u00a0IEEE Internet of Things J. 6(2), 2103\u20132115 (2018)","DOI":"10.1109\/JIOT.2018.2869847"},{"key":"33_CR7","unstructured":"Dunlap, T.: The 5 Worst Examples of IoT Hacking and Vulnerabilities in Recorded History. IoT For All (2020). Accessed 2021\u201306\u201321"},{"key":"33_CR8","unstructured":"BBC. Ring doorbell \u2018gives Facebook and Google user data\u2019. BBC (2020). Accessed 2021\u201306\u201321"},{"key":"33_CR9","doi-asserted-by":"publisher","unstructured":"Landge, P.B., Bhise, D.V., Nagwanshi, K.K., Patra, R.K., Durugkar, S.R.: A selection-based framework for building and validating regression model for COVID-19 information management. In: Bhateja, V., Satapathy, S.C., Travieso-Gonzalez, C.M., Adilakshmi, T. (eds.) Smart Intelligent Computing and Applications, Volume 1. Smart Innovation, Systems and Technologies, vol 282. Springer, Singapore ((2022)). https:\/\/doi.org\/10.1007\/978-981-16-9669-5_56","DOI":"10.1007\/978-981-16-9669-5_56"},{"key":"33_CR10","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1007\/s00500-021-06531-5","volume":"26","author":"BD Parameshachari","year":"2022","unstructured":"Parameshachari, B.D., Gurumoorthy, S., Frnda, J., et al.: Cognitive linear discriminant regression computing technique for HTTP video services in SDN networks. Soft. Comput. 26, 621\u2013633 (2022). https:\/\/doi.org\/10.1007\/s00500-021-06531-5","journal-title":"Soft. Comput."},{"key":"33_CR11","doi-asserted-by":"publisher","unstructured":"Deshpande, A., Agrawal, P., Dahikar, P.: Modular approach towards implementation of foundational image processing operations on FPGA. In: Yang, X.S., Sherratt, S., Dey, N., Joshi, A. (eds.) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 217. Springer, Singapore (2022). https:\/\/doi.org\/10.1007\/978-981-16-2102-4_35","DOI":"10.1007\/978-981-16-2102-4_35"},{"key":"33_CR12","doi-asserted-by":"publisher","unstructured":"Kumar, T.M., Balmuri, K.R., Marchewka, A., Divakarachari, P.B., Konda, S.: Implementation of speed-efficient key-scheduling process of AES for secure storage and transmission of data. Sensors 21(24), 8347 (2021). https:\/\/doi.org\/10.3390\/s21248347","DOI":"10.3390\/s21248347"},{"key":"33_CR13","doi-asserted-by":"crossref","unstructured":"Shanmuganantham, T., Bharath Kumar, K., Ashok Kumar, S.: Analysis of tree-shaped slotted impedance matching antenna for 60 GHz femtocell applications. ICT Express 7(4), 426\u2013431 (2021). ISSN 2405\u20139595","DOI":"10.1016\/j.icte.2021.01.007"},{"key":"33_CR14","unstructured":"Patra, R.K., Rao, M.V., Balmuri, K., Konda, S., Chande, M.K.: High-performance computing and fault tolerance technique implementation in cloud computing. Green Computing and Its Applications, pp. 255\u2013309 (2021)"},{"key":"33_CR15","doi-asserted-by":"publisher","unstructured":"Kumar Patra, R., Konda, S., Varaprasad Rao, M., Balmuri, K., Madhukar, G.: Predictive model and theory of interaction. In: Kumar, S., Raja, R., Tiwari, S., Rani, S. (eds.). Cognitive Behaviour and Human Computer Interaction Based on Machine Learning Algorithm (2021). https:\/\/doi.org\/10.1002\/9781119792109.ch9","DOI":"10.1002\/9781119792109.ch9"},{"key":"33_CR16","doi-asserted-by":"publisher","unstructured":"Chilakala, S., Ashutosh, S., Vunnava, A.: Improved detection performance of energy detection based spectrum sensing in cognitive radio networks. International Journal of Sensors, Wireless Communications and Control 11(9) (2021). https:\/\/doi.org\/10.2174\/2210327911666210219115009","DOI":"10.2174\/2210327911666210219115009"},{"key":"33_CR17","doi-asserted-by":"publisher","unstructured":"Dash, S.C.B., Mishra, S.R., Srujan Raju, K., et al.: Human action recognition using a hybrid deep learning heuristic. Soft Comput 25, 13079\u201313092 (2021). https:\/\/doi.org\/10.1007\/s00500-021-06149-7","DOI":"10.1007\/s00500-021-06149-7"},{"key":"33_CR18","doi-asserted-by":"publisher","unstructured":"Soudagar, M.E.M., et al.: Experimental analysis of engine performance and exhaust pollutant on a single-cylinder diesel engine operated using moringa oleifera biodiesel. Applied Sciences 11(15), 7071 (2021). https:\/\/doi.org\/10.3390\/app11157071","DOI":"10.3390\/app11157071"},{"key":"33_CR19","doi-asserted-by":"crossref","unstructured":"Niranjan, D.K., Rakesh, N.: Real time analysis of air pollution prediction using IoT. In: 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, pp. 904\u2013909 (2020)","DOI":"10.1109\/ICIRCA48905.2020.9183251"},{"issue":"1","key":"33_CR20","doi-asserted-by":"publisher","first-page":"53","DOI":"10.5121\/ijdps.2013.4105","volume":"4","author":"N Rakesh","year":"2013","unstructured":"Rakesh, N., Srivatsa, S.K.: A study on path loss analysis for gsm Mobile networks for urban, rural and Suburban regions of Karnataka state. International J. Distributed and Parallel Syst. 4(1), 53 (2013)","journal-title":"International J. Distributed and Parallel Syst."}],"container-title":["Lecture Notes in Networks and Systems","Hybrid Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-78928-1_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T06:38:53Z","timestamp":1780295933000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-78928-1_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031789274","9783031789281"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-78928-1_33","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"value":"2367-3370","type":"print"},{"value":"2367-3389","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"15 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Hybrid Intelligent Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vilnius","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lithuania","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 December 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"his2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.mirlabs.net\/his23\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}