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- 저자 : ( M. Nandhini ) (검색결과 4 건)
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An Implementation of Public Key Infrastructure Using Wireless Communication Networks
Nandhini M,PraveenkumarB 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.3
The Smart Grid is an electrical power infrastructure that makes intelligent decisions about the state of the electrical power system to maintain a stable environment. It is expected that the smart grid will radically add new functionalities to legacy electrical power systems. However, believe that this will in turn introduce many new security risks. With the smart grid’s backbone communication networks and sub networks, there are possible scenarios when these sub networks can become vulnerable to attacks. Ensuring security in these networks is challenging because most devices are resource constrained. In addition, different protocols that are used in these networks use their own set of security requirements. In this article, the securities Requirements of smart grid communication networks are firstly identified. The public key infrastructure (PKI) is a viable solution; it has some difficulties to satisfy the requirements in availability, privacy preservation, and scalability. To complement the functions of PKI, introduce some novel mechanisms so that those security requirements can be met. In particular, propose a mechanism to efficiently resist Denial-of-Service (DoS) attacks, and some suggestions to the security protocol design for different application categories.
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M. Suriyavathana Vedanarayanan,Nandhini Krishnan 사단법인약침학회 2011 Journal of Acupuncture & Meridian Studies Vol.4 No.4
Nonalcoholic fatty liver disease (NAFLD) has emerged as a serious obesity-related disorder, and it will continue to be a major liver health issue worldwide in the coming decades. We aimed to determine the effect of Liv-Pro-08 (Nigella sativa, Entada pursaetha, and Ficus glomerata) an oral ayurvedic formulation on rats fed with highfat diet. Rats were given a high-fat diet for a period of 7 days. After this period, Liv-Pro-08 (250, 500, and 750 mg/kg.body weight was given orally for 7 days. We examined the effect of the high-fat diet on various parameters related to obesity and insulin resistance. In the experimental rats who received the extract of Liv-Pro-08, their lipoprotein profiles were significantly improved compared with those that are not receiving the extract. Also, a slight reduction was observed in serum aspartate aminotransferase,alanine aminotransferase, and alkaline phosphatase enzymes. Moreover, Liv-Pro-08significantly decreased their fasting serum glucose and fasting insulin levels. This experimental study suggests that Liv-Pro-08 can act as a therapeutic tool in preventing NAFLD progression (i.e., reducing hepatic lipid accumulation). Although further investigations and large randomized trials should be conducted, ayurvedic Liv-Pro-08 oral formulation may be a potential natural drug for NAFLD in the future.
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( Kala K. U. ),( M. Nandhini ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.2
Recommender Systems (RecSys) have a major role in e-commerce for recommending products, which they may like for every user and thus improve their business aspects. Although many types of RecSyss are there in the research field, the state of the art RecSys has focused on finding the user similarity based on sequence (e.g. purchase history, movie-watching history) analyzing and prediction techniques like Recurrent Neural Network in Deep learning. That is RecSys has considered as a sequence prediction problem. However, evaluation of similarities among the customers is challenging while considering temporal aspects, context and multi-component ratings of the item-records in the customer sequences. For addressing this issue, we are proposing a Deep Learning based model which learns customer similarity directly from the sequence to sequence similarity as well as item to item similarity by considering all features of the item, contexts, and rating components using Dynamic Temporal Warping(DTW) distance measure for dynamic temporal matching and 2D-GRU (Two Dimensional-Gated Recurrent Unit) architecture. This will overcome the limitation of non-linearity in the time dimension while measuring the similarity, and the find patterns more accurately and speedily from temporal and spatial contexts. Experiment on the real world movie data set LDOS-CoMoDa demonstrates the efficacy and promising utility of the proposed personalized RecSys architecture.
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