Abstract
Internet of Things (IoT) has been changing the way of operations for multiple segments like Industries, Health Care, and Manufacturing. It also holds a chance to change how Educational Institutions operates and enhance student learning experience. It has enormous opportunities for Educational Segment which will enhance the learning experiences for students, teachers and other stakeholders. The development of IOT Systems, devices, applications, and services are already in the consideration and process by the students and researchers. Therefore, this paper presents a framework to capture validated information of individual Higher Educational Institutions (HEI) through IOT devices to avail the assessment based platform to evaluate and enhance the educational experience. It also describes the processes to automate the survey of Educational Institutions and provide analytical report using IOT components and Machine Learning. To ease the understanding of different methods we provide a prototype with its practical implementations using common processes in a friendly manner.
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Nasaruddin, F., Gani, A., Karim, A., Abaker, I., Hashem, T., Siddiqa, A., Yaqoob, I., Marjani, M.: Big IoT data analytics: architecture, opportunities, and open research challenges, IEEE. Access 5, 5247–5261 (2017)
Puschmann, D., Barnaghi, P., Carrez, F., Ganz, F.: A practical evaluation of information processing and abstraction. Internet Things J. (2015)
Iera, A., Morabito, G., Atzori, L.: The internet of things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)
Rehman, U., Ghazal, S., Umar, I., Aldowah, H.: Internet of things in higher education: a study on future learning. J. Phys.: ICCSCM (2017)
Ahamed, B.B., Ramkumar, T., Shanmugasundaram, H.: Data integration progression in large data source using mapping affinity, advanced software engineering and its applications (ASEA). In: 7th International Conference (2014)
Zhang, X., Liu, J.: Data integration in fuzzy XML documents. Inf. Sci. 280, 82–97 (2014)
Bernstein, P., Bertino, E., Davidson, S., Dayal, U., Agrawal, D.: Challenges and opportunities with big data, whitepaper, computing community consortium (2012)
Bernstein, P., Bertino, E., Davidson,S., Dayal,U., Agrawal, D.: Challenges and opportunities with big data, whitepaper, computing community consortium, (2012)
Mell, P., Grance, T.: The NIST definition of cloud computing. National Institute of Standards and Technology, U.S. Department of Commerce (2011)
Kanagavalli, R., Dr. Vagdevi, S.: A mixed homomorphic encryption scheme for secure data storage in cloud. In: IEEE International Advanced Computing Conference IACC2015 (2015)
Tebaa, M., Elhajii, S.: Secure cloud computing through Homomorphic Encryption. Int. J. Adv. Comput. Technol. 5(16), 29–38 (2013)
Parmar, P.V.: Survey of various Homomorphic Encryption algorithms and schemes. Int. J. Comput. Appl. (0975–8887), 91(8), 26–32 (2014)
Ogburn, M., Turner, C., Dahal, P.: Homomorphic Encryption in Complex Adaptive Systems, Publication 3, pp. 502–509. Elsevier, MD, Baltimore (2013)
Rivest, R., Shamir, A., Adleman, L.: A method for obtaining digital signatures and public key cryptosystems. Commun. ACM 21(2), 120–126 (1978)
Song, X., Wang, Y.: Homomorphic cloud computing scheme based on hybrid homomorphic encryption. In: 3rd IEEE International Conference on Computer and Communications (2017)
Geetha, J.S., Amalarethinam, D.I.G.: ABCRNG—swarm intelligence in public key cryptography for random number generation. Intern. J. Fuzzy Mathematical Archive, 6(2), 177–186 (2015)
Chean, T.L., Ponnusamy, V., Fati, S.M.: Authentication scheme using unique identification method with homomorphic encryption in mobile cloud computing. IEEE (2018)
Oppermann, A., Toro, F.G., Seifert, T., Seifert, J.P.: Secure cloud computing: communication protocol for multithreaded fully homomorphic encryption for remote data processing. Int. J. Commun. Syst. 1–26 (2017)
Das, D.: Secure cloud computing algorithm using homomorphic encryption and multi-party computation. IEEE (2018)
Ding, Y., Li, X.: Policy based on homomorphic encryption and retrieval scheme in cloud computing. In: IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC) (2017)
Anescu, G., Prisecaru, I.: NSC-PSO, a novel PSO variant without speeds and coefficients. In: 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2016)
Abraham, A., Sharma, T.K., Pant, M.: Blend of local and global variant of PSO in ABC. IEEE (2013)
Tiwari, S., Mishra, K.K., Misra, A.K.: Test case generation for modified code using a variant of particle swarm optimization (PSO) Algorithm. In: 10th International Conference on Information Technology: New Generations (2013)
Singh, S., Shivangna, Mittal, E.: Range based wireless sensor node localization using PSO and BBO and its variants. In: International Conference on Communication Systems and Network Technologies (2013)
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Srivastava, M., Saurabh, P., Verma, B. (2020). IOT for Capturing Information and Providing Assessment Framework for Higher Educational Institutions—A Framework for Future Learning. In: Das, K., Bansal, J., Deep, K., Nagar, A., Pathipooranam, P., Naidu, R. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1057. Springer, Singapore. https://doi.org/10.1007/978-981-15-0184-5_22
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DOI: https://doi.org/10.1007/978-981-15-0184-5_22
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