MATRIX FORMULATION OF NTRU ALGORITHM USING MULTIPLE PUBLIC KEYS FROM MATRIX DATA BANK FOR HIGH DEGREE POLYNOMIALS
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER, ELECTRONICS AND ELECTRICAL ENGINEERING
Author(s): D. GOSH , MOHAN RAO MAMDIKAR , VINAY KUMAR
Abstract: In many business sectors sending secure information over public channels has become a challenging task. Data encryption is not the most efficient method to counter attacks for adversaries. One form of encryption called the symmetric key encryption uses the same key for encryption at sender’s end and for decryption at the receiver’s end. World-wide encryption standards such as DES and AES are used in Government and public domains. However symmetric key encryptions are prone to attacks by intruders. Asymmetric key encryption has been proposed in the Jofferey et al. [4] wherein the key to be used to send a message to R is made public and R uses his own private key to decrypt the encrypted message. NTRU is one such Public key Cryptosystem (PKCS), which is based on polynomial Ring Theory. The security of NTRU depends on the lattices. Several studies have suggested that it is difficult to know whether a polynomial is invertible or not. Nayak et al.[2] introduced a new method as a matrix solu
- Publication Date: 28-Apr-2013
- DOI: 10.15224/978-981-07-6260-5-40
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REGION SPECIFIC CROP YIELD ANALYSIS A DATA MINING APPROACH
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER, ELECTRONICS AND ELECTRICAL ENGINEERING
Author(s): B VISHNU VARDHAN , D RAMESH
Abstract: Indian Gross Domestic Product (GDP) is largely depends on agricultural production. Agricultural production is the product of cultivated area and average yield per unit area. Its impact on the welfare of the country is much greater and nearly 70% of the working population depends on agricultural activities for their livelihood. Agrarian sector in India is facing a severe problem to maximize crop productivity. More than 60 % of the crop in India still depends solely on monsoon rainfall (Central Statistical Organization, 2008). An analysis of past climatic variations and its impact on agricultural production is presented in this paper to get the climate variability on agriculture. Recent development in Information Technology enabled new methods to adopt in agriculture sector. High end servers and the latest software in analytics are useful for predicting certain crop production. Clustering approach is used for estimating the future year’s rice production based on average rain fall of spec
- Publication Date: 28-Apr-2013
- DOI: 10.15224/978-981-07-6260-5-39
- Views: 0
- Downloads: 0