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

Al-Muhammed, Muhammed Jassem; Abuzitar, Raed

doi:10.1007/978-3-030-22868-2_54

Cited by 10 publications

(7 citation statements)

References 9 publications

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“…This section describes a random number generator, which is adopted from [8] and whose algorithmic steps are reproduced in Fig 6 . The random generator first expands the key to 64 bytes (symbols). The intuition is that large seeds lengthen the period of the generator so that it can produce long sequences without repeating the same sequence.…”

Section: Random Generatormentioning

confidence: 99%

“…There are many security advantages to adopting this random generator. First, as described in [8], the seed is entirely based on the encryption key. This means that the sequence of the generated random numbers depends on the key.…”

Section: Plos Onementioning

confidence: 99%

“…The encryption technique is effective if its output (ciphertext) passes fundamental randomness tests. (Testing the random generator for randomness is beyond the scope of this paper and was done elsewhere [8]).…”

Section: Plos Onementioning

confidence: 99%

“…This technique depends on the complexity of DNA sequences to hide the ciphertext symbols. In [8], authors proposed an image encryption technique that depends on merging between DNA substitution and shuffling techniques for achieving high confusion. Using several one-dimensional chaotic systems was also proposed in [9].…”

Section: Introductionmentioning

confidence: 99%

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Hybrid encryption technique: Integrating the neural network with distortion techniques

Zitar

Al-Muhammed²

2022

PLoS ONE

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This paper proposes a hybrid technique for data security. The computational model of the technique is grounded on both the non-linearity of neural network manipulations and the effective distortion operations. To accomplish this, a two-layer feedforward neural network is trained for each plaintext block. The first layer encodes the symbols of the input block, making the resulting ciphertext highly uncorrelated with the input block. The second layer reverses the impact of the first layer by generating weights that are used to restore the original plaintext block from the ciphered one. The distortion stage imposes further confusion on the ciphertext by applying a set of distortion and substitution operations whose functionality is fully controlled by random numbers generated by a key-based random number generator. This hybridization between these two stages (neural network stage and distortion stage) yields a very elusive technique that produces ciphertext with the maximum confusion. Furthermore, the proposed technique goes a step further by embedding a recurrent neural network that works in parallel with the first layer of the neural network to generate a digital signature for each input block. This signature is used to maintain the integrity of the block. The proposed method, therefore, not only ensures the confidentiality of the information but also equally maintains its integrity. The effectiveness of the proposed technique is proven through a set of rigorous randomness testing.

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Section: Random Generatormentioning

confidence: 99%

Section: Plos Onementioning

confidence: 99%

Section: Plos Onementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Hybrid encryption technique: Integrating the neural network with distortion techniques

Zitar

Al-Muhammed²

2022

PLoS ONE

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“…These techniques can be categorized either by how they process their input (stream or block ciphers) or by the shared information between the communicating parties (symmetric or asymmetric). Symmetric encryption techniques (e.g., [13][14][15][16][17][18]) depend on a secret key that is shared between senders/receivers and used for encryption and decryption. This type is the mostly used one because it ensures faster processing.…”

Section: Introductionmentioning

confidence: 99%

Light and Secure Encryption Technique Based on Artificially Induced Chaos and Nature-Inspired Triggering Method

Al-Muhammed

Zitar

2022

Symmetry

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Encryption is the de facto method for protecting information, whether this information is locally stored or on transit. Although we have many encryption techniques, they have problems inherited from the computational models that they use. For instance, the standard encryption technique suffers from the substitution box syndrome—the substitution box does not provide enough confusion. This paper proffers a novel encryption method that is both highly secure and lightweight. The proposed technique performs an initial preprocessing on its input plaintext, using fuzzy substitutions and noising techniques to eliminate relationships to the input plaintext. The initially encrypted plaintext is next concealed in enormously complicated codes that are generated using a chaotic system, whose behavior is controlled by a set of operations and a nature-inspired triggering technique. The effectiveness of the security of the proposed technique is analyzed using rigorous randomness tests and entropy.

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Tightly Close It, Robustly Secure It: Key-Based Lightweight Process for Propping up Encryption Techniques

Al-Muhammed

Al-Daraiseh

Abuzitar

2020

Advances in Intelligent Systems and Computing

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

Cited by 10 publications

References 9 publications

Hybrid encryption technique: Integrating the neural network with distortion techniques

Hybrid encryption technique: Integrating the neural network with distortion techniques

Light and Secure Encryption Technique Based on Artificially Induced Chaos and Nature-Inspired Triggering Method

Tightly Close It, Robustly Secure It: Key-Based Lightweight Process for Propping up Encryption Techniques

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