Error Detection Constructions for ITA Finite Field Inversions Over $\text{GF}(2^{m})$ on FPGA Using CRC and Hamming Codes

Canto, Alvaro Cintas; Kermani, Mehran Mozaffari; Azarderakhsh, Reza

doi:10.1109/tr.2022.3216014

Cited by 3 publications

(3 citation statements)

References 40 publications

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“…Nevertheless, traditional Hamming code can stumble when confronted with multi-bit errors, like twobit errors. This is because the error checking code can overlap with the one produced during a single-bit error, making it difficult to discern whether it's a single or double-bit error [5]. To combat this, an enhanced Hamming code has been proposed.…”

Section: Extended Hamming Code Definitionmentioning

confidence: 99%

Exploring the application and performance of extended hamming code in IoT devices

Shen

2024

ACE

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This study primarily focuses on the implementation of extended Hamming code within Internet of Things (IoT) devices and examines its impact on device performance, particularly in relation to communication protocols. The research begins by introducing and explaining the essential principles surrounding the extended Hamming code and its system. This introduction is followed by a detailed analysis of its practical application in IoT device communication and the subsequent influence on performance. Additionally, the study explores the potential role of extended Hamming code in strengthening the security measures of IoT devices. Experimental findings indicate that incorporating extended Hamming code can effectively enhance the communication efficiency of IoT devices, ensuring accurate data transmission. It also improves the overall operational efficiency of the devices and fortifies their security framework. Yet, despite these promising outcomes, the real-world application of extended Hamming code presents significant challenges. These hurdles highlight the need for continued research and exploration to maximize the potential of the extended Hamming code in the IoT domain. The study concludes with an optimistic outlook, encouraging ongoing investigation and innovation to further optimize the benefits of this code and drive advancements in IoT technology.

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Section: Extended Hamming Code Definitionmentioning

confidence: 99%

Exploring the application and performance of extended hamming code in IoT devices

Shen

2024

ACE

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“…In this section, we will provide a brief overview of the (7,4) Hamming code [18][19][20], and the data hiding method that combines quotient value differencing (QVD) and Hamming code capable of error detection and correction proposed by Kosuru et al [16].…”

Section: Related Workmentioning

confidence: 99%

“…In the field of communication, various techniques have been developed to detect and correct errors in data transmission. These techniques include parity code, Hamming code [18][19][20], cyclic redundancy check (CRC) [21][22][23], and many more. Parity code is one of the earliest error-checking codes, originally used in telegraph communication during the early 20th century.…”

Section: Introductionmentioning

confidence: 99%

A Simple and Efficient Data Hiding Method with Error Detection and Correction

Chi,

Liu,

Chang

et al. 2024

Electronics

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In recent years, data hiding techniques have emerged as a prominent area of research due to the increasing demand for information security. Existing data hiding techniques typically do not prioritize the verification of the correctness of the extracted data, nor do they attempt to rectify any erroneous information extracted. This paper presents a simple yet effective method by which a recipient can perform error detection and correction on extracted data. Prior to data embedding, a preprocess is applied to secret data. After converting the secret data to a data stream, a data hider categorizes adjacent and identical bits within the data stream into groups. The number of these bits is then recorded as an indicator to extract information and perform error detection and correction. The number of bits in each group is adjusted to ensure that it is an odd number. Moreover, the collected indicator data stream is encoded using (7,4) Hamming code to compact the recorded information. Finally, the concatenation of the encoded indicator and the encoded secret is embedded into the multiple least significant bits (LSBs) of the original image pixels. As for the receiver, error correction can be applied based on the indicator after the extraction of the encoded data. Experimental results demonstrate that this method allows the data receiver to detect and correct errors while maintaining a certain level of embedding capacity and image quality. In terms of image quality, this method exhibits superior performance compared to existing research when the embedded data volume is relatively small.

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Integrating error correction and detection techniques in RISC-V processor microarchitecture for enhanced reliability

Sreekumar,

Shankar,

Reddy

2024

Integration

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Error Detection Constructions for ITA Finite Field Inversions Over $\text{GF}(2^{m})$ on FPGA Using CRC and Hamming Codes

Cited by 3 publications

References 40 publications

Exploring the application and performance of extended hamming code in IoT devices

Exploring the application and performance of extended hamming code in IoT devices

A Simple and Efficient Data Hiding Method with Error Detection and Correction

Integrating error correction and detection techniques in RISC-V processor microarchitecture for enhanced reliability

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