Data Encryption Technique Using Random Number Generator

Cheng, Yu-Chin; Chen, Chien‐Hung; Chiang, Chung-Chih; Wang, Junwei; Laih, Chi-Sung

doi:10.1109/grc.2007.73

Cited by 7 publications

(4 citation statements)

References 17 publications

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“…To avoid the result to be guessed by combination and permutation, we can offset the result by some simple rules, as shown in the following (Chandra Sekhar, Sudha, & Prasad Reddy, 2007): In the above two equations, we offset the original result by a different methodology and apply 255 sets (1 to 255 except for 0 for convenience in calculating) of ASCII codes to position the new result. If the results of these offset operations are over 255, it will be adjusted.…”

Section: Encryption and Decryption Processmentioning

confidence: 99%

“…Symmetric-key cryptography, where the same key is used both for encryption and decryption (Chandra Sekhar, Sudha, & Prasad Reddy, 2007) Coding theory is one of the most important and direct applications of information theory. It can be subdivided into source coding theory and channel coding theory.…”

Section: International Journal Of Research Studies In Computing 37mentioning

confidence: 99%

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An application of data encryption technique using random number generator

Verma¹,

Ojha²

2012

IJRSC

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Coding theory is one of the most important and direct applications of information theory. Using a statistical description for data, information theory quantifies the number of bits needed to describe the data, which is the information entropy of the source. Information theoretic concepts apply to cryptography and cryptanalysis. Cryptography is the study of sending and receiving secret messages. With the widespread use of information technologies and the rise of digital computer networks in many areas of the world, securing the exchange of information has become a crucial task. In the present paper an innovative technique for data encryption is proposed based on the random sequence generation. The new algorithm provides data encryption at two levels and hence security against crypto analysis is achieved at relatively low computational overhead.

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Section: Encryption and Decryption Processmentioning

confidence: 99%

Section: International Journal Of Research Studies In Computing 37mentioning

confidence: 99%

An application of data encryption technique using random number generator

Verma¹,

Ojha²

2012

IJRSC

View full text Add to dashboard Cite

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“…1) Data Encryption Technique: For the generation of random numbers a quadruple vector is used [5], [6].the quadruple vector T is generated for 4 4 values, i.e. for 0-255 ASCII values.…”

mentioning

confidence: 99%

“…[8] [9][10] is used to generate the random sequence for the 0-255 ASCII characters by multiplying r = [A]*[T] and considering the values to mod 4. The random sequence generated using the formula [40 41 42] * r is generated[6].2) Development of Cipher: Consider a plain text represented by P which is represented in the form of P= [P ij ] where i=1 to n and j=1 to n.…”

mentioning

confidence: 99%

Indoor TMD Secure System for early Detection of Alzheimer’s Disease

Elango

Nagarajan

2012

AMR

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With more number of aged people being diagnosed for Alzheimer’s disease and prevention being the only remedy, the proposed idea helps in continuous monitoring through wireless technology. The Tracking, Monitoring and tele-Diagnosing (TMD) secure system utilises Bluetooth wireless technology. Here the movement pattern of the patient is tracked with the help of Bluetooth enabled handheld device carried by the patient and Bluetooth APs located in each room. This pattern is stored in the data base. To protect the privacy of the patient the collected information is secured through geo-encryption technique before sending via open wireless channel (internet). The remote medical practitioner is able to diagnose whether the target patient is developing Alzheimer’s disease from the received information. Thus, our proposed system provides secured remote diagnosis of the disease in senior people.

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