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With the increasing use of digital images, it is essential to protect confidential image data from unauthorized access. In view of the security problems of digital image in the fields of communication, storage and transmission, this study proposes a digital envelope technology encryption scheme with high security and high speed based on the advantages of symmetric algorithm model and asymmetric algorithm model. This method is based on AES(Advanced Encryption Standard) and ECC(Elliptic Curve Cryptography), and optimized ECC hardware architecture is used for symmetric key sharing to enhance the security of the key. The traditional AES is optimized by adding pseudo- random numbers, using column shift instead of column obfuscation, and three dimensional Sbox box to maintain the Shannon diffusion and obfuscation principle while reducing the time complexity. This study the digital image encryption simulation and performance test of AES algorithm are carried out on FPGA (Field Programmable Gate Array). The test results show that the proposed encryption scheme has the advantages of rapidity, high security and effectiveness, and can better achieve image encryption. [ABSTRACT FROM AUTHOR]

Based on a polynomial basis, this paper constructs a finite field operation to optimize the S-box of the AES algorithm. By searching for the isomorphic mapping matrix between the fields, the inverse operation over finite field GF(28) is converted to the composite field GF((24)²). By using the SAT solver to search for the multiplication inverse operation over the finite field GF(24), two different polynomial basis optimization schemes are proposed. Scheme 1 uses the classic Class 3 gate circuit to construct the composite field. Based on Scheme 1, Scheme 2 uses a bit-level optimization method that introduces a MUX gate, and has less circuit area and smaller number of gates than those in Scheme 1. This paper uses the SMIC130 nm and SMIC65 nm processors to evaluate the circuit area. The evaluation shows that the results of this paper are better than the existing schemes using the same kind of gate circuits. [ABSTRACT FROM AUTHOR]

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The authenticated encryption algorithm guarantees the confidentiality and integrity of the information at the same time,and has extensive research and application prospects in the field of information security.With the mixed integer linear programming (MILP) method,the iterative structure with high efficiency and more active S boxes is searched.Based on this new round iterative function and the generalized Feistel structure,an authenticated encryption algorithm with the ability to resist collision attack,differential attack,linear attack and other attacks was designed and implemented,and the efficiency was twice that of AES-GCM.

The authenticated encryption algorithm guarantees the confidentiality and integrity of the information at the same time, and has extensive research and application prospects in the field of information security. With the mixed integer linear programming (MILP) method, the iterative structure with high efficiency and more active S boxes is searched. Based on this new round iterative function and the generalized Feistel structure, an authenticated encryption algorithm with the ability to resist collision attack, differential attack, linear attack and other attacks was designed and implemented, and the efficiency was twice that of AES-GCM.

With the widespread application of embedded cryptographic equipments,SCA has become one of its security threats.The key information is recovered by analyzing the leaked information during the physical implementation of the cryptographic algorithm,furthermore,the security of the cryptographic algorithm can be evaluated.In order to streamline the MLP network structure for energy analysis and reduce the training parameters and training time of the model,this paper studied the models based on Hamming weight(HW) and bit-based MLP neural networks,and it reduced the output categories from 256 to9 and 2 respectively.It used the power trace during the operation of the AES cryptographic algorithm to train and test the proposed MLP neural network.The experimental results show that the model can reduce the training parameters of the MLP neural network by 84% and the training time by 28%,and reduce the number of power traces required during the key recovery phase,while ensuring the prediction accuracy.At least only one power trace is needed to complete the recovery of the AES algorithm’s complete key.The experiments verify the validity of the proposed model,and the model can analyze and evaluate the security of the block cipher algorithm. [ABSTRACT FROM AUTHOR]

For the requirement of destroying sensitive data in the disk in emergency,combined with the AES encryption algorithm,a strategy of fast destruction of disks based on encrypted storage was proposed.The principle,method and basis of the strategy were discussed in detail.Through this strategy,sensitive data in the disk can be destroyed quickly,efficiently and safely.

In power analysis,key acquisition for power analysis was based on the collected power signal,and one of the most important factors impacting the success rate of key analysis was the signal to noise ratio of real power consumption. So the noise could be effectively removed was the key to improve the success rate of power analysis. To solve this problem,this paper introduced the preprocessing method based on GHM multiwavelet. This method was to denoise power traced by GHM multiwavelet thresholding,with an aim to remove irrelevant noise from the power traces as far as possible,and raise the signal to noise ratio of real signal in the power traces. It collected power traces of AES algorithm in MEGA16 micro controller hardware platform for the same key with different plaintexts and performed correlation power analysis with original power traces and the denoised power traces. Experimental results show that the power traces required for correlation power analysis performed with the denoised power traces is reduced by 89. 5%,and the correlation coefficient is raised by 107. 9% on average. This verifies the effectiveness of the new method. [ABSTRACT FROM AUTHOR]

In the template building stage of the traditional template attack method, a large number of calculations are usually needed to calculate the covariance matrix, sometimes the result is even impossible to get. Through the in-depth study of the template attack technology, this paper proposed a new type of attack strategy. With the improvement of the template building, this method greatly simplified the template structure, and successfully solved these problems above. At the same time,it also independently completed the development of the side channel data acquisition platform, and wrote the side channel attack soft-ware used on PC. For AES encryption algorithm in Magel6 microcontroller development board, it performed a DPA attack based on template. The experimental results show that, this method can effectively avoid the numerical calculation problems that the traditional template attack may occur in the process,and compare to the ordinary DPA attacks, it dramatically reduces the number of the energy traces needed, which effectively proves the validity and practicability of the method. [ABSTRACT FROM AUTHOR]

In order to overcome AES key expansion's safety problem, this paper proposed a new key expansion method and used the simplest MixColumn and inverse MixColumn operation on GF(28) to replace the former. In aspect of RSA,this paper suggested a four prime RSA with Chinese remainder theorem and Montgomery algorithm to improve the computing efficiency. Then it proposed a mixed encryption system and created a high security communicating model. Experiments show that advanced algorithm is faster than the original and mixed system has higher practicability. [ABSTRACT FROM AUTHOR]