Sentence Reduction based on Automatic Document Text Summarization and Crossbred Framework

Hashim, Mohammed Mahdi; Al-Hilali, Aqeel A.; Al. Safi, Mohammed G. S.; Salah, Omar Raad; Nahi, Abdullah A.

doi:10.1109/icaeeci58247.2023.10370958

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Other2

Article1

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Concealing Secret Data in Medical Images Based on Even/Odd Pixels and PSO Algorithm for Improve Steganography System

Hashim,

Aleiwi,

Ibrahim

et al. 2024

2024 IEEE International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)

View full text Add to dashboard Cite

Concealing Secret Data in Medical Images Based on Even/Odd Pixels and PSO Algorithm for Improve Steganography System

Hashim,

Aleiwi,

Ibrahim

et al. 2024

2024 IEEE International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)

View full text Add to dashboard Cite

Image Cryptography Scheme Based on Improvement Chaos Logistic Function, Chaos Arnold Cat Map and Gingerbread Man Process

Hashim,

Almajidi,

Ibrahim

et al. 2024

2024 IEEE International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)

View full text Add to dashboard Cite

Optimize Image Steganography Based on Distinction Disparity Value and HMPSO to Ensure Confidentiality and Integrity

Ali,

Alsamaraee,

Hussein

2024

Journal of Computer Networks and Communications

View full text Add to dashboard Cite

To secure the massive amounts of secret messages, the integrity and confidentiality challenges must be addressed. Pressing challenges in the context of a steganography system include security, imperceptibility, and capacity issues. There are trade‐offs between payload and security that have been neglected by researchers, as fixing one issue has been indicated to affect the other, and vice versa. To overcome these challenges, a new steganography scheme based on HMPSO and DDV was introduced. The HMPSO is short for Hénon map and particle swarm optimization, while DDV is short for distinction disparity value. The proposed scheme consisted of four phases with different contributions. The first phase was used to preprocess the secret messages and cover images. In this phase, the secret message has been compressed using the Huffman method. The second phase involved the embedding procedure. This phase consists of two different contributions HMPSO and DDV. The HMPSO is responsible for the optimal pixels’ selection. While the DDV is responsible for the embedding process. The third phase involves the extraction method. In extraction, the reverse processes of the previous steps are implemented. Different evaluation parameters have been used to validate and test the proposed scheme such as SSIM, PSNR, HVS, Histogram analysis, and chi‐square test. Based on the findings, the proposed scheme has solved the confidentiality and integrity challenges and provides a robust steganography system.

show abstract

Sentence Reduction based on Automatic Document Text Summarization and Crossbred Framework

Cited by 3 publications

References 48 publications

Concealing Secret Data in Medical Images Based on Even/Odd Pixels and PSO Algorithm for Improve Steganography System

Concealing Secret Data in Medical Images Based on Even/Odd Pixels and PSO Algorithm for Improve Steganography System

Image Cryptography Scheme Based on Improvement Chaos Logistic Function, Chaos Arnold Cat Map and Gingerbread Man Process

Optimize Image Steganography Based on Distinction Disparity Value and HMPSO to Ensure Confidentiality and Integrity

Contact Info

Product

Resources

About