Securing Cloud in Industrial IoT using Iris and Retina Scanner
S. Kalaiarasi1, Srinidhi Sathyamurthy2, Tanisha Garg3, Pallavi Gupta4
1S. Kalaiarasi, Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
2Srinidhi Sathyamurthy*, Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
3Tanisha Garg, Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
4Pallavi Gupta, Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
Manuscript received on September 13, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 6050-6054 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1882109119/2019©BEIESP | DOI: 10.35940/ijeat.A1882.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cloud computing has become extremely popular. It is one of the fastest evolving technologies. It is mostly used in industrial IoT, where the data generated is huge. It has many advantages. But there are also a few security issues we have to deal with when it comes to using the cloud. Data plays a very significant role in cloud computing. But data breaching can collapse a business. Also, any third party can log in to these cloud servers and use the valuable data for various other purposes. So trustworthy security measures have to be taken, to make sure that the information is protected and misuse of data does not take place. A few biometric methods have been implemented, but it not very cost-effective. And since the data is stored on remote servers, the data can never be a hundred percent safe. A new system has to be implemented, which is both easy to execute and demands less cost. This paper discusses how Iris and Retina scanners can be put together to ensure the security of the data stored in the cloud servers.
Keywords: IDS, Intrusion Detection, KDD-99, XGBoost.