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DC Field | Value | Language |
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dc.contributor.author | Shravya, K.S. | |
dc.contributor.author | Deepak, A. | |
dc.contributor.author | Chandrasekaran, K. | |
dc.date.accessioned | 2020-03-30T09:45:52Z | - |
dc.date.available | 2020-03-30T09:45:52Z | - |
dc.date.issued | 2017 | |
dc.identifier.citation | 3rd IEEE International Conference on , 2017, Vol., , pp.- | en_US |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/6573 | - |
dc.description.abstract | Statistical results have predicted that 70% of world's population will reside in cities by the year 2050. With the advancement in the field of information and communication technology, the concept of smart cities is gaining more prominence. Smart cities use the ICT technology to improve the functioning of the city and enhance the community services provided. To keep the data in smart city secure, different existing security mechanisms have been deployed directly in smart or have been modified to smart city scale. Most of the security mechanisms today need cryptographic keys, hence, key generation plays a pivotal role in the security of any smart city. In this paper, we proposes a key generation methodology especially designed for smart cities using a random number generator which collects entropy from different user end devices and sensors present in the city and generate secure random keys at a central node. We have also tested our method against NSIT random number test suite and have got acceptable results. � 2017 IEEE. | en_US |
dc.title | Smart key generation for smart cities | en_US |
dc.type | Book chapter | en_US |
Appears in Collections: | 2. Conference Papers |
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