Abstract
We are aware of the scenario of the twenty-first century where each and every nation of the world wants to progress at a rapid rate, weaker nations are destabilized by adopting policies like state-sponsored terrorism and online hacking which are part of the government official agenda. In this situation, there is strong need for policies to prevent data from online hacking and cyber mugging. Every nation wants to secure its data in terms of future plans, satellite images, new military setups, new river linkage plans, etc. Here, we have developed a new model advanced private content-based image retrieval (APCBIR) of data privacy based on content-based image query and retrieval (CBIQ/R). In this approach, data is smartly encrypted with only 10% of the original data, features of the original and newly encrypted images are matched by statistical parameters, and finally, the transmission of the data is done in a manner so that no one is able to reveal the identity of the original data. The efficiency of this system becomes more effective as IoT is attached to the model; data of usefulness is automatically selected and encrypted accordingly. Finally, the data gets secured from various types of malware attacks.
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Acknowledgements
The author would like to express their deep gratitude to NASA Jet Propulsion Laboratory, California Institute of Technology, USA, for providing ‘Mars Hand Lens Images’; McGill Vision Lab of McGill University, Montreal, Quebec H3G 1A4, for providing the texture dataset; Institute of Computer Science and Technology of Peking University and Institute of Digital Publishing of Founder R&D Center, China, for allowing use of their Marmot Chinese Math Dataset v 1.0; and Mr. Joan Andreu Sanchezfor allowing use of their handwritten text dataset of ICFHR HTR competition 2016. All the dataset providers are acknowledged deeply.
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Shakya, A.K., Ramola, A., Pokhariya, H.S., Kandwal, A. (2019). Fusion of IoT and Machine Learning Approach to Prevent Confidential Data from Digital Crimes and Cyber Mugging for Covert Transmission. In: Mishra, S., Sood, Y., Tomar, A. (eds) Applications of Computing, Automation and Wireless Systems in Electrical Engineering. Lecture Notes in Electrical Engineering, vol 553. Springer, Singapore. https://doi.org/10.1007/978-981-13-6772-4_49
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DOI: https://doi.org/10.1007/978-981-13-6772-4_49
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