Website information retrieval of web database based on symmetric encryption algorithm

Xing, Chong; Wang, Kunhao

doi:10.1007/s12652-020-02819-w

Cited by 3 publications

(4 citation statements)

References 10 publications

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“…Cryptographic features provide security on the server side, even aggressors can retrieve logs from the server where they are stored in an encrypted form so that attackers cannot collect the original logs. A novel chaos graph symmetric encryption calculation [24] is utilized to encode and unscramble web data set webpage data, with high sensitivity to the initial value of the chaotic system and digital signature verification to work on the security of web data set webpage data. This search really kills the constraints of conventional calculations and this cycle makes web database website information search more accurate and improves recall speed and precision speed.…”

Section: Related Workmentioning

confidence: 99%

Optimal Intelligent Information Retrieval and Reliable Storage Scheme for Cloud Environment And E-Learning Big Data Analytics

Chandrasekar

Venkatachalam

2023

Preprint

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Currently, online learning systems in the education sector are widely used and have become a new trend, generating large amounts of educational data based on students' activities. In order to improve online learning experiences, sophisticated data analysis techniques are required. Adding value to E-learning platforms through the efficient processing of big learning data is possible with Big Data. With time, the E-learning management system's repository expands and becomes a rich source of learning materials. Subject matter experts may benefit from using E-learning resources to reuse previously created content when creating online content. In addition, it might be beneficial to the students by giving them access to the pertinent documents for achieving their learning objectives effectively. An improved intelligent information retrieval and reliable storage (OIIRS) scheme is proposed for E-learning using hybrid deep learning techniques. Assume that relevant E-learning documents are stored in cloud and dynamically updated according to users' status. First, we present a highly robust and lightweight crypto i.e. optimized CLEFIA, for securely storing data in local repositories that improve the reliability of data loading. We develop an improved butterfly optimization (IBO) algorithm to provide an optimal solution for CLEFIA that selects private keys. In addition, a hybrid deep learning method, i.e., backward diagonal search based deep recurrent neural network (BD-DRNN) is introduced for optimal intelligent information retrieval based on keywords rather than semantics. Here, feature extraction and key feature matching are performed by the modified Hungarian optimization (MHO) algorithm that improves searching accuracy. Finally, we test our proposed OIIRS scheme with different benchmark datasets and use simulation results to test the performance.

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Section: Related Workmentioning

confidence: 99%

Optimal Intelligent Information Retrieval and Reliable Storage Scheme for Cloud Environment And E-Learning Big Data Analytics

Chandrasekar

Venkatachalam

2023

Preprint

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“…Starting from the insensitivity of some networks to data, they put forward the concept of data prestorage. However, this scheme actually uses a large number of servers and has high limitations [10]. This scheme assumes that the method of data insensitive and distributed storage of a large number of servers can only be applied to a specific network.…”

Section: Related Workmentioning

confidence: 99%

Software Implementation and Design of Information Encryption Algorithm Based on DNA Nano Self‐Assembled Sensor Array

2021

Journal of Sensors

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In the field of information security, DNA cryptography based on DNA molecular configuration and special recognition mechanism between molecules has developed rapidly. DNA molecules have great development potential in the field of information security technology such as information encryption, hiding and authentication, which provides a new way for the development of modern cryptography. The nodes of traditional sensor networks are mostly distributed in the form of a net with strong openness. In the process of node data transmission, the information is likely to be stolen, tampered with, and destroyed at any time. In this paper, an information encryption method based on DNA nano self-assembled sensor technology is proposed, and the encryption software based on DNA nano self-assembled sensor array is designed. The information encryption algorithm is designed, tested, simulated and analysed, and compared with other designs. The simulation results show that the encryption algorithm system based on DNA nano self-assembled sensor array has good function and excellent performance, can fully meet the requirements of network real-time encryption, has good feasibility and security, and reveals the great application potential of DNA molecules in the field of information security.

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“…An S-box with high nonlinearity and low linear and differential probabilities is always favorable for a cryptosystem 18 . Therefore, the design of such components with good cryptographic properties plays a significant role in cryptographic applications 19 .Substitution permutation network (SPN) structures are commonly implemented in AES and Feistel types of networks, such as DES 20 . AES uses bijective components to assemble the system invertible, whereas the DES approach is not limited to bijectivity.…”

mentioning

confidence: 99%

mentioning

confidence: 99%

Design of highly nonlinear confusion component based on entangled points of quantum spin states

Waseem

Hwang

2023

Sci Rep

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Cryptosystems are commonly deployed to secure data transmission over an insecure line of communication. To provide confusion in the data over insecure networks, substitution boxes are the solitary components for delivering a nonlinear mapping between inputs and outputs. A confusion component of a block cipher with high nonlinearity and low differential and linear approximation probabilities is considered secure against cryptanalysis. This study aims to design a highly nonlinear substitution-permutation network using the blotch symmetry of quantum spin states on the Galois field GF (28). To observe the efficiency of the proposed methodology, some common and advanced measures were evaluated for performance, randomness, and cryptanalytics. The outcomes of these analyses validate that the generated nonlinear confusion components are effective for block ciphers and attain better cryptographic strength with a high signal-to-noise ratio in comparison to state-of-the-art techniques.

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Website information retrieval of web database based on symmetric encryption algorithm

Cited by 3 publications

References 10 publications

Optimal Intelligent Information Retrieval and Reliable Storage Scheme for Cloud Environment And E-Learning Big Data Analytics

Optimal Intelligent Information Retrieval and Reliable Storage Scheme for Cloud Environment And E-Learning Big Data Analytics

Software Implementation and Design of Information Encryption Algorithm Based on DNA Nano Self‐Assembled Sensor Array

Design of highly nonlinear confusion component based on entangled points of quantum spin states

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