<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si20.gif" overflow="scroll"><mml:mrow><mml:mi>κ</mml:mi></mml:mrow></mml:math>-Lookback random-based text encryption technique

Al-Muhammed, Muhammed Jassem; Zitar, Raed Abu

doi:10.1016/j.jksuci.2017.10.002

Cited by 13 publications

(10 citation statements)

References 11 publications

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“…We conduct experiments on both English and Chinese corpus. As described in [53], the correlation is measured by…”

Section: Using Time-varying Codebookmentioning

confidence: 99%

TEDL: A Text Encryption Method Based on Deep Learning

Wang

2021

Applied Sciences

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Recent years have seen an increasing emphasis on information security, and various encryption methods have been proposed. However, for symmetric encryption methods, the well-known encryption techniques still rely on the key space to guarantee security and suffer from frequent key updating. Aiming to solve those problems, this paper proposes a novel symmetry-key method for text encryption based on deep learning called TEDL, where the secret key includes hyperparameters in the deep learning model and the core step of encryption is transforming input data into weights trained under hyperparameters. Firstly, both communication parties establish a word vector table by training a deep learning model according to specified hyperparameters. Then, a self-update codebook is constructed on the word vector table with the SHA-256 function and other tricks. When communication starts, encryption and decryption are equivalent to indexing and inverted indexing on the codebook, respectively, thus achieving the transformation between plaintext and ciphertext. Results of experiments and relevant analyses show that TEDL performs well for security, efficiency, generality, and has a lower demand for the frequency of key redistribution. Especially, as a supplement to current encryption methods, the time-consuming process of constructing a codebook increases the difficulty of brute-force attacks, meanwhile, it does not degrade the efficiency of communications.

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“…We conduct experiments on both English and Chinese corpus. As described in [53], the correlation is measured by…”

Section: Using Time-varying Codebookmentioning

confidence: 99%

TEDL: A Text Encryption Method Based on Deep Learning

Wang

2021

Applied Sciences

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“…into two halves. 1 The left half bits create an index x for the row of D-Box −1 and the right half bits create an index y for the column of D-Box −1 . On the other hand, the 4 bits that represent r and the 4 bits that represent c are concatenated rc to create a unicode symbols t. The unicode symbol t is placed in the index (x, y) of D-Box −1 .…”

Section: A the D-box And Its Inverse D-box −1mentioning

confidence: 99%

“…2) STEP II: In this step, the last 32 bytes (out of 176) of the sequence generated by Step I are used as a seed for the key-based number generator, which is described in [1]. Fig.…”

Section: ) Step Imentioning

confidence: 99%

“…The proof of the randomness properties of the generator in Fig. 21 is beyond the scope of this paper and can be found elsewhere [1].…”

Section: ) Step Imentioning

confidence: 99%

“…Many encryption techniques have been proposed (e.g. [1][2] [3][4][5] [6] [7] [8] [9][10] [11] [12] [13] [14] [15] [16] [17] [18]). Although these methods are effective and purport to provide high levels of security, there is always a truly pressing need for new techniques that can effectively face the formidably ever-advancing hacking tools.…”

Section: Introductionmentioning

confidence: 99%

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Light but Effective Encryption Technique based on Dynamic Substitution and Effective Masking

Al-Muhammed¹

2018

ijacsa

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Cryptography and cryptanalysis are in ever-lasting struggle. As the encryption techniques advance, the cryptanalysis techniques advance as well. To properly face the great danger of the cryptanalysis techniques, we should diligently look for more effective encryption techniques. These techniques must properly handle any weaknesses that may be exploited by hacking tools. We address this problem by proposing an innovative encryption technique. Our technique has unique features that make it different from the other standard encryption methods. Our method advocates the use of dynamic substitution and tricky manipulation operations that introduce tremendous confusion and diffusion to ciphertext. All this is augmented with an effective key expansion that not only allows for implicit embedment of the key in all of the encryption steps but also produces very different versions of this key. Experiments with our proof-ofconcept prototype showed that our method is effective and passes very important security tests.

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Mesh-Based Encryption Technique Augmented with Effective Masking and Distortion Operations

Al-Muhammed

Abuzitar

2019

Advances in Intelligent Systems and Computing

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κ-Lookback random-based text encryption technique

Cited by 13 publications

References 11 publications

TEDL: A Text Encryption Method Based on Deep Learning

TEDL: A Text Encryption Method Based on Deep Learning

Light but Effective Encryption Technique based on Dynamic Substitution and Effective Masking

Mesh-Based Encryption Technique Augmented with Effective Masking and Distortion Operations

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