No abstract

In recent years social media micro blogs has gaining popularity due to increasing availability, immediacy and new way of communication medium. The increasing quantity of micro blogging messages creates many challenges for its proper adoption. One such problem of difficulty in accessibility of interested micro blog messages is addressed in our proposed System using NLP technique. The traditional method of message accessing is slow and doesn't establish any semantic and structural relationship between the words in a sentence. The proposed system overcomes this using clustering and labeling of messages having similar semantic and verbal association. The result shows 50% improvement in the message accessibility compared to manual method of searching the particular message in a large micro blogs of 100 pages.

-Off-line micro-payment is used more often today than ever before. Capable hackers are clever to break the security on credit and debit cards and right to use enormous capacity of card records. Through the amplified awareness of cybercrime, the production has prepared strides in using further secure techniques for keeping data. This has equipped it harder for malefactor, but there are still many occasion for attacks. This new idea provides a two-element validation to the client. The association among a coin element and an identity element avoids theft coin elements. A particular coin element can be read only by an individual identity element. This methodology still affords unknown transactions as every identity element is hard to a system. Similarly the identity element and the coin element are constructed by physically uncloanable functions. Both of them take over the following features: Clone resiliency, Emulation resiliency, and Unpredictability.