The Huffman’s Method of Secured Data Encoding and Error Correction using Residue Number System (RNS)

Alhassan, A.; Saeed, I.; Agbedemnab, P.A.

doi:10.5120/cae2015651844

Cited by 6 publications

(9 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition to the low energy consumption gains, the use of RNS according to the authors allowed bust errors in WBAN to be handled even though no algorithm was presented in that regard. [25] presented a highly secured data encryption and decryption scheme for enhancing the traditional Huffman's method using RNS. The scheme in [25] uses 6 channel moduli set made up of four information moduli; {2 −1 , 2 − 1, 2 + 1, 2 +1 − 1} and two redundant moduli; {2 2 − 3, 2 2 + 1} for purposes of error control.…”

Section: Review Of Related Literaturementioning

confidence: 99%

“…[25] presented a highly secured data encryption and decryption scheme for enhancing the traditional Huffman's method using RNS. The scheme in [25] uses 6 channel moduli set made up of four information moduli; {2 −1 , 2 − 1, 2 + 1, 2 +1 − 1} and two redundant moduli; {2 2 − 3, 2 2 + 1} for purposes of error control. The scheme was demonstrably cost efficient in terms of data transmission and storage.…”

Section: Review Of Related Literaturementioning

confidence: 99%

“…) instead, where is computed from Equation (1) [25,36]. Thus, the residue vector can be divided into two parts, namely the first residues called information residues and the remaining r residues called redundant residues [17].…”

Section: Background Of Redundant Residue Number Systemmentioning

confidence: 99%

See 2 more Smart Citations

A New Approach to Detecting and Correcting Single and Multiple Errors in Wireless Sensor Networks

Nawusu

Abdul-Barik

Abdul-Mumin³

2021

JAMCS

View full text Add to dashboard Cite

Transmission errors are commonplace in communication systems. Wireless sensor networks like many other communication systems are susceptible to various forms of errors arising from sheer noise, heat and interference in sensor circuitry and from other forms of distortions. Research efforts in WSN have attempted to guarantee reliable and accurate data transmission from a target environment in the midst of these unwanted exposures. Many techniques have appeared and employed over the years to deal with the issue of transmission errors in communication systems. In this paper we present a new approach for single and multiple error control in WSN relying on the inherent fault tolerant feature of the Redundant Residue Number System. As an off shoot of Residue Number System, RRNS's fault tolerant capabilities help in building robust systems required for reliable data transmission in WSN systems. The Chinese Remainder Theorem and the Manhattan Distance Heuristics are used during the integer recovery process when detecting and correcting error digit(s) in a transmitted data. The proposed method performs considerably better in terms of data retrieval time than similar approaches by needing a smaller number of iterations to recover an originally transmitted data from its erroneous form. The approach in this work is also less computationally intensive compared to recent techniques during the error correction steps. Evidence of utility of the technique is illustrated in numerical examples.

show abstract

Section: Review Of Related Literaturementioning

confidence: 99%

Section: Review Of Related Literaturementioning

confidence: 99%

See 1 more Smart Citation

A New Approach to Detecting and Correcting Single and Multiple Errors in Wireless Sensor Networks

Nawusu

Abdul-Barik

Abdul-Mumin³

2021

JAMCS

View full text Add to dashboard Cite

show abstract

“…A research on improving the traditional Huffman's data encoding algorithm was carried out by Alhassan et al, using RNS [9]. His work demonstrated an enhanced data compression scheme with the traditional Huffman's encoding where the frequency of occurrences of each character is used to generate binary codes.…”

Section: Related Workmentioning

confidence: 99%

An Enhanced RSA Encryption Scheme based on Mixed Radix Conversion with Data Compression

Abdul-Mumin¹,

Abdul-Barik²

2019

IJCA

View full text Add to dashboard Cite

In this paper, an enhanced Riveset Shamir Adleman (RSA) encryption scheme with data compression features based on Residue Number Systems (RNS) has been proposed and implemented. This scheme is implemented using the moduli set,. The scheme has two level of encryption and a two level of decryption to form a double layer public key encryption scheme. The first level comprises the classical RSA encryption algorithm and in the second layer, RNS number representation is utilised. Mixed Radix Conversion is employed in the first level of decryption and in the second level; the classical RSA decryption process is used. This will ensure a secured data transmission of messages of varying lengths. The private key length is further enhanced as the moduli set are part of the private key for decryption processes. The residues which form the basis of the transmitted cipher text are smaller in terms of number of bits than the cipher text generated from the classical RSA encryption scheme. This will increase the rate of data transmission in the communication channel.

show abstract

“…Alhassan et al [10] implemented a secure information encryption and decryption scheme to improve the Huffman process. With four modules set {2 n-1 }, {2 n -1},{2 n +1},{2 n+1 -1} and two redundant modules set {2 2n -3, 2 2n +1}, the Residue Number System (RNS) is used for error handling using the standard Huffman algorithm definition.…”

Section: Introductionmentioning

confidence: 99%

Enhanced image security using residue number system and new Arnold transform

Babatunde

Oke

Oloyede

et al. 2021

J. Teknol. dan Sist. Komput

View full text Add to dashboard Cite

This paper aims to improve the image scrambling and encryption effect in traditional two-dimensional discrete Arnold transform by introducing a new Residue number system (RNS) with three moduli and the New Arnold Transform. The study focuses on improving the classical discrete Arnold transform with quasi-affine properties, applying image scrambling and encryption research. The design of the method is explicit to three moduli set {2n, 2n+1+1, 2n+1-1}. These moduli set includes equalized and shapely moduli leading to the effective execution of the residue to binary converter. The study employs an arithmetic residue to the binary converter and an improved Arnold transformation algorithm. The encryption process uses MATLAB to accept a digital image input and subsequently convert the image into an RNS representation. The images are connected as a group. The resulting encrypted image uses the Arnold transformation algorithm. The encrypted image is used as input at decryption using the anti-Arnold (Reverse Arnold) transformation algorithm to convert the picture to the original RNS (original pixel value). Then the RNS was used to retransform the original RNS to its binary form. Security analysis tests, like histogram analysis, keyspace, key sensitivity, and correlation coefficient analysis, were administered on the encrypted image. Results show that the hybrid system can use the improved Arnold transform algorithm with better security and no constraint on image width and size.

show abstract

The Huffman’s Method of Secured Data Encoding and Error Correction using Residue Number System (RNS)

Cited by 6 publications

References 8 publications

A New Approach to Detecting and Correcting Single and Multiple Errors in Wireless Sensor Networks

A New Approach to Detecting and Correcting Single and Multiple Errors in Wireless Sensor Networks

An Enhanced RSA Encryption Scheme based on Mixed Radix Conversion with Data Compression

Enhanced image security using residue number system and new Arnold transform

Contact Info

Product

Resources

About