A Robust Video Watermarking Scheme with Squirrel Search Algorithm

Bhaskar, Aman; Sharma, Chirag; Mohiuddin, Khalid; Singh, Aman; Nasr, Osman A.; Alwetaishi, Mamdooh

doi:10.32604/cmc.2022.019866

Cited by 6 publications

(2 citation statements)

References 19 publications

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“…PSO delivered the most optimal routings with reduced packet loss and increased throughput. (ii) In other works, a video watermarking scheme for anti-piracy protection incorporates Squirrel Search Algorithm (SSA) with constraints on video quality and other thresholds [6]. The embedded watermarking scheme utilized the frame selection method on five different videos and the proposed SSA-based framework recorded a Peak Signal to Noise ratio (PSNR) of 71.06 dB outperforming eight methods from the literature.…”

Section: A Review Of Meta-heuristics In Multimedia Applications and A...mentioning

confidence: 99%

A competitive learning-based Grey wolf Optimizer for engineering problems and its application to multi-layer perceptron training

Reddy

Narayana

2023

Multimed Tools Appl

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This article presents a competitive learning-based Grey Wolf Optimizer (Clb-GWO) formulated through the introduction of competitive learning strategies to achieve a better trade-off between exploration and exploitation while promoting population diversity through the design of difference vectors. The proposed method integrates population sub-division into majority groups and minority groups with a dual search system arranged in a selective complementary manner. The proposed Clb-GWO is tested and validated through the recent CEC2020 and CEC2019 benchmarking suites followed by the optimal training of multi-layer perceptron’s (MLPs) with five classification datasets and three function approximation datasets. Clb-GWO is compared against the standard version of GWO, five of its latest variants and two modern meta-heuristics. The benchmarking results and the MLP training results demonstrate the robustness of Clb-GWO. The proposed method performed competitively compared to all its competitors with statistically significant performance for the benchmarking tests. The performance of Clb-GWO the classification datasets and the function approximation datasets was excellent with lower error rates and least standard deviation rates.

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Section: A Review Of Meta-heuristics In Multimedia Applications and A...mentioning

confidence: 99%

A competitive learning-based Grey wolf Optimizer for engineering problems and its application to multi-layer perceptron training

Reddy

Narayana

2023

Multimed Tools Appl

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“…Covert communication technology is a branch of information security, which aims to covertly embed secret information into the original carriers, such as image [1], video [2] and audio [3], and then hides the communication behaviors and communication content in public channels. The carrier containing secret information generated by information hiding technology is often very similar to the original carrier, making it difficult to attract the attention of adversaries [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

A Derivative Matrix-Based Covert Communication Method in Blockchain

Zhang¹,

Zhang²,

Zhang³

et al. 2023

Computer Systems Science and Engineering

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The data in the blockchain cannot be tampered with and the users are anonymous, which enables the blockchain to be a natural carrier for covert communication. However, the existing methods of covert communication in blockchain suffer from the predefined channel structure, the capacity of a single transaction is not high, and the fixed transaction behaviors will lower the concealment of the communication channel. Therefore, this paper proposes a derivation matrix-based covert communication method in blockchain. It uses dual-key to derive two types of blockchain addresses and then constructs an address matrix by dividing addresses into multiple layers to make full use of the redundancy of addresses. Subsequently, to solve the problem of the lack of concealment caused by the fixed transaction behaviors, divide the rectangular matrix into square blocks with overlapping regions and then encrypt different blocks sequentially to make the transaction behaviors of the channel addresses match better with those of the real addresses. Further, the linear congruence algorithm is used to generate random sequence, which provides a random order for blocks encryption, and thus enhances the security of the encryption algorithm. Experimental results show that this method can effectively reduce the abnormal transaction behaviors of addresses while ensuring the channel transmission efficiency.

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