Cryptanalysis of the AEAD and hash algorithm DryGASCON

Blockchain is widely used in encrypted currency, Internet of Things (IoT), supply chain finance, data sharing, and other fields. However, there are security problems in blockchains to varying degrees. As an important component of blockchain, hash function has relatively low computational efficiency. Therefore, this paper proposes a new scheme to optimize the blockchain hashing algorithm based on PRCA (Proactive Reconfigurable Computing Architecture). In order to improve the calculation performance of hashing function, the paper realizes the pipeline hashing algorithm and optimizes the efficiency of communication facilities and network data transmission by combining blockchains with mimic computers. Meanwhile, to ensure the security of data information, this paper chooses lightweight hashing algorithm to do multiple hashing and transforms the hash algorithm structure as well. The experimental results show that the scheme given in the paper not only improves the security of blockchains but also improves the efficiency of data processing.

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A Robust Contourlet Based Image Hash Algorithm

2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing ◽

10.1109/iih-msp.2009.156 ◽

2009 ◽

Cited By ~ 2

Author(s):

Yanan Wang ◽

Di Wu ◽

Hui Zhang ◽

Xiamu Niu

Keyword(s):

Hash Algorithm ◽

Image Hash

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Secured Medical Image Hashing Based on Frequency Domain with Chaotic Map

Engineering and Technology Journal ◽

10.30684/etj.v39i5a.1786 ◽

2021 ◽

Vol 39 (5A) ◽

pp. 711-722

Author(s):

Amira K. Jabbar ◽

Ashwaq T. Hashim ◽

Qusay F. Al-Doori

Keyword(s):

Medical Image ◽

Personal Information ◽

Chaotic Map ◽

Region Of Interest ◽

Image Hashing ◽

Medical Field ◽

Hash Algorithm ◽

Frequency Domains ◽

Hash Code ◽

Shift Keying

Recently, online-medicine got increased global interest, particularly during COVID19 pandemic. Data protection is important in the medical field since when promoting telemedicine applications, it is necessary to protect the patient data and personal information. A secured process is needed to transmit medical images over the Internet. In this paper hash algorithm is employed to protect the data by using powerful features from the coupled frequency domains of the Slantlet Transformation (SLT) and the Discrete Cosine Transform (DCT). The Region of Interest (ROI) is localized from an MRI image then extraction of a feature set is performed for calculating the hash code. Then, hash code is enciphered to maintain security by employing a secure Chaotic Shift Keying (CSK). The suggested method of security is ensured by the strength of the CSK and the encryption key secrecy. A detailed analysis was conducted using 1000 uncompressed images that were chosen randomly from a publicly available AANLIB database. The proposed methodology can be useful for JPEG compression. Also, this method could resist many attacks of image processing likes filtering, noise addition, and some geometric transforms.

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An Effective Framework for Chaotic Image Encryption Based on 3D Logistic Map

Security and Communication Networks ◽

10.1155/2018/8402578 ◽

2018 ◽

Vol 2018 ◽

pp. 1-11 ◽

Cited By ~ 7

Author(s):

Guodong Ye ◽

Kaixin Jiao ◽

Chen Pan ◽

Xiaoling Huang

Keyword(s):

Chaotic Map ◽

Logistic Map ◽

Security Analysis ◽

Three Dimensional ◽

Ecg Signal ◽

Hash Algorithm ◽

Plain Image ◽

Secure Hash Algorithm ◽

Low Sensitivity ◽

Encryption Method

In this paper, an effective framework for chaotic encryption based on a three-dimensional logistic map is presented together with secure hash algorithm-3 (SHA-3) and electrocardiograph (ECG) signal. Following the analysis of the drawbacks, namely, fixed key and low sensitivity, of some current algorithms, this work tries to solve these two problems and includes two contributions: (1) removal of the phenomenon of summation invariance in a plain-image, for which SHA-3 is proposed to calculate the hash value for the plain-image, with the results being employed to influence the initial keys for chaotic map; (2) resolution of the problem of fixed key by using an ECG signal, that can be different for different subjects or different for same subject at different times. The Wolf algorithm is employed to produce all the control parameters and initial keys in the proposed encryption method. It is believed that combining with the classical architecture of permutation-diffusion, the summation invariance in the plain-image and shortcoming of a fixed key will be avoided in our algorithm. Furthermore, the experimental results and security analysis show that the proposed encryption algorithm can achieve confidentiality.

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SHAvisual: A Visualization Tool for the Secure Hash Algorithm

10.18260/p.24708 ◽

2015 ◽

Author(s):

Ching-Kuang Shene ◽

Chaoli Wang ◽

Jun Tao ◽

Melissa Keranen ◽

Jun Ma ◽

...

Keyword(s):

Visualization Tool ◽

Hash Algorithm ◽

Secure Hash Algorithm

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An Overview of Digital Video Tampering Detection Using Passive Methods and D-Hash Algorithm

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i4.6.28444 ◽

2018 ◽

Vol 7 (4.6) ◽

pp. 373

Author(s):

Anto Crescentia.A ◽

Sujatha. G

Keyword(s):

Digital Video ◽

Forgery Detection ◽

Tampering Detection ◽

Integrity Verification ◽

Hash Algorithm ◽

Area Of Concern ◽

Detection Strategies ◽

Inter Frame ◽

Passive Techniques ◽

Integrity Check

Video tampering and integrity detection can be defined as methods of alteration of the contents of the video which will enable it to hide objects, an occasion or adjust the importance passed on by the collection of images in the video. Modification of video contents is growing rapidly due to the expansion of the video procurement gadgets and great video altering programming devices. Subsequently verification of video files is transforming into something very vital. Video integrity verification aims to search out the hints of altering and subsequently asses the realness and uprightness of the video. These strategies might be ordered into active and passive techniques. Therefore our area of concern in this paper is to present our views on different passive video tampering detection strategies and integrity check. Passive video tampering identification strategies are grouped into consequent three classifications depending on the type of counterfeiting as: Detection of double or multiple compressed videos, Region altering recognition and Video inter-frame forgery detection. So as to detect the tampering of the video, it is split into frames and hash is generated for a group of frames referred to as Group of Pictures. This hash value is verified by the receiver to detect tampering.

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