Abstract
By 2025, more than 25 billion devices are connected over Internet with high cognitive intelligence. Internet of things has major issues and threats regarding security challenges over billions of intelligent devices connecting over Internet. Internet connectivity reaches to 7G in the future. In Japan, it is already on the way and so as complexity regarding connectivity as well as security increases. Internet of things opens the doors for various sectors in advancements but cognitive devices security is become major threat with advancements in IoT. Now, devices are connected with advance and high connectivity Internet and stored over different types of clouds. So, this paper aims purely security to these smart cognitive devices with assistance of deep learning, artificial intelligence with IoT with big data assistance, and discuss the security issues with intelligent devices with different useful applications on day by day basis as well as provide proposed secured methodology for “Smart ATM” with advance applications of deep learning and natural language processing (NLP) with artificial intelligence. In this paper, apply the “Weapon Detection,” “Crime Intention Detection” and using “Edge Computing” with convolutional neural networks irrespective of the use of cloud computing with machine learning for the cognitive intelligence and fast access with high security in smart devices with IoT. This paper also proposes “Smart Laser Fencing” for the Hi-Tech security of smart devices with “Deep-fi Geo-Fencing,” and this eliminates the major security threats in various smart devices and decreases the rate of cyber-crimes majorly in e-money transactions as well as in other various domains.
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Sharma, N., Panwar, D. (2021). Advance Security and Challenges with Intelligent IoT Devices. In: Goyal, D., Chaturvedi, P., Nagar, A.K., Purohit, S. (eds) Proceedings of Second International Conference on Smart Energy and Communication. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-6707-0_17
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