Department of Computer Science (PG)

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Author: search.filters.author.R, KowsalyaStart date: 2020

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    A NOVEL HYBRID APPROACH ON SECURE DATA TRANSMISSION IN WIRELESS SENSOR NETWORKS
    (International Journal of Future Generation Communication and Networking, 2020) R, Kowsalya; B, Rosiline Jeetha
    n recent year wireless sensor network plays an important role in day to day life, to achieve the security, cryptography techniques are used. As wireless sensor has the limited memory space and energy consumption to provide security is vital problem. The main aim of this research work is to analysing different cryptographic techniques such as symmetric key cryptography and asymmetric key cryptography and comparing AES, DES, 3DES, RC5 and IDEA encryption techniques. In this paper, a new security symmetric algorithm was proposed to provide high security. It provides cryptographic primary key integrity, confidentiality and authentication. The results show that the proposed hybrid algorithm HSR19 gives efficient performance for communication devices with the parameters in computation time with different file sizes, encryption and decryption speed and energy
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    ANTI-DIABETIC POTENTIAL OF INDIAN MEDICINAL PLANTS WITH GARCINIA KOLA AND SYZYGIUM CUMINI
    (A & V Publications, 2021) K J, Sharmila; L, Kanimozhi; Priya, J Shanmuga; G V, Vidhya; Caroline, R Jeba; R, Kowsalya
    Diabetes mellitus is a group of metabolic disease in which a person experiences high blood glucose levels either because the body produces inadequate insulin in the body. Though there are several treatment options available there are limitations such as high costs and side effects, weight gain etc. For this reason, the use of medicinal plants has increased to be used as an anti-diabetic agent with less side-effect and more efficient. In this regard, this study analyzed the anti-diabetic potential of Garcinia kola and Syzygium cumini using alpha amylase inhibition assay and glucose uptake by yeast cells. It was observed that Ethanol extract of Garcinia kola increased anti-diabetic potential compared to Syzygium cumini.
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    WITHDRAWN: CLUSTER BASED DATA-AGGREGATION USING LIGHTWEIGHT CRYPTOGRAPHIC ALGORTIHM FOR WIRELESS SENSOR NETWORKS
    (Science Direct, 2021-02-23) R, Kowsalya; B, Roseline Jeetha
    This article has been withdrawn as part of the withdrawal of the Proceedings of the International Conference on Emerging Trends in Materials Science, Technology and Engineering (ICMSTE2K21). Subsequent to acceptance of these Proceedings papers by the responsible Guest Editors, Dr S. Sakthivel, Dr S. Karthikeyan and Dr I. A. Palani, several serious concerns arose regarding the integrity and veracity of the conference organisation and peer-review process. After a thorough investigation, the peer-review process was confirmed to fall beneath the high standards expected by Materials Today: Proceedings. The veracity of the conference also remains subject to serious doubt and therefore the entire Proceedings has been withdrawn in order to correct the scholarly record.