A Steganography Embedding Method Based on P<sub>single</sub> / P<sub>double</sub> and Huffman Coding

Taha, Mustafa Sabah; Mahdi, Mohammed Hashim; Khalid, Hiyam N.; Aman, Azana Hafizah Mohd; Attarbashi, Zainab Senan

doi:10.1109/crc50527.2021.9392522

Cited by 7 publications

(4 citation statements)

References 11 publications

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“…Therefore, such attacks are most times devastating as they cause disruptions and significant financial losses to the victims [2,3]. One major issue is that despite the growing incidents of these attacks, there are things that are yet to be known about them [4,5] as most of the existing research has mostly focused on their technical aspects by developing mostly the mechanisms for their detection and prevention [6], while neglecting the social and behavioural aspects of such attacks, such as how the social media facilitate the dissemination of information about these attacks.…”

Section: Introductionmentioning

confidence: 99%

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An Improved Knowledge Graph Representation for Ransomware Attacks Using LSTM-Based Named Entity Relation Technique and Twitter Data

Munshid

2024

jes

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This research aims to examine the challenges associated with ransomware knowledge and develop a knowledge graph of ransomware attacks utilizing Twitter data. Ransomware is a constantly evolving global threat. The three main steps involved in the development of a knowledge graph from informal text are data collection and preprocessing, features extraction, and relation extraction. A ransomware ontology previously proposed has been used in this work for the extraction of the ransomware entities from unstructured data; this is aimed at making it fit the attacks reported on Twitter. The next process is the identification of the existing relationships in the dataset for the knowledge graph construction; the output of the process, which is the developed knowledge graph is evaluated for accuracy using a tracing technique to demonstrate its efficacy.

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Section: Introductionmentioning

confidence: 99%

“…Ransomware-as-a-Service allows anyone to create ransomware easily, leading to the current malware ontology's inability to accommodate the vast variety of ransomware types [6]. Twitter can be valuable for gathering vulnerability data since ethical hackers often report new malware findings.…”

Section: Introductionmentioning

confidence: 99%

An Improved Knowledge Graph Representation for Ransomware Attacks Using LSTM-Based Named Entity Relation Technique and Twitter Data

Munshid

2024

jes

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“…The second technique used to ensure the security of secret data is cryptography [14], [15]. Cryptography is one of the major important techniques and is widely used in our life, especially in information security [14], [16]. Cryptography is one of the mathematical methods that ensure the security of information communications.…”

Section: Introductionmentioning

confidence: 99%

A crypto-steganography scheme for IoT applications based on bit interchange and crypto-system

Alsamaraee

Ali

2022

Bulletin EEI

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Image steganography and cryptography have been used widely due to the dramatic evolution of the internet of things (IoT) and the simplicity of capturing and transferring digital images. Pressing challenges in the context of a steganography system include security, imperceptibility, and capacity issues. In the existing schemes, fixing one issue has been indicated to affect the other and vice versa. Based on the above challenges, a new scheme has been proposed for the Crypt-steganography scheme. The proposed scheme consists of three main contributions. The first contribution is hybrid additive cryptography (HAC), which is related to encrypting secret messages before the embedding process to ensure security. The HAC depends on ElGamal elliptic curve cryptosystem (ECC) with cubic Bézier curve to achieve text confidentiality. The second contribution is a bit interchange method (BIGM), which is related to the embedding process and solves the image's imperceptibility. The third contribution is a new image partitioning method (IPM). The IPM contribution increases the randomization of selecting the embedding pixels. The IPM proposes a random pixel selection based on three iterations of the Hénon Map function used with IPM. Different parameters are used to evaluate the proposed scheme. Based on the findings, the proposed scheme gives evidence to overcome existing challenges.

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“…Information hiding can be divided into two broad types, including steganography and watermarking (Taha et al, 2021); both are used to hide secret Messages, Both approaches are related, but each has a different goal in mind. Watermarking is primarily intended to preserve the integrity of private data from eavesdroppers, with or without disguising the communication's existence.…”

Section: Introductionmentioning

confidence: 99%

Refining Medical Image Steganography Scheme Based on Pixels Disparity Value and Huffman Coding

Mahdi¹

2022

JIPIRS

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The steganography is a new and challenging method for transmitting confidential information over the internet utilizing a hidden cover object. Developing an efficient picture steganography system is currently fraught with difficulties because of the limited capacity, weak resilience, and imperceptibility of current steganography systems under development. This problem can only be solved by increasing the picture steganography's capability and security levels. Methods: Based on these variables, this work aims to present the state-of-the-art approach known as the Pixels Disparity Value (PDV) that hides patient information reports in the distinct medical photos for the second party. It's recommended that the procedure be broken down into three primary phases, each with its own set of instructions. Results: The statistical and economic evaluations of the suggested approach.

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A Steganography Embedding Method Based on P_single / P_double and Huffman Coding

Cited by 7 publications

References 11 publications

An Improved Knowledge Graph Representation for Ransomware Attacks Using LSTM-Based Named Entity Relation Technique and Twitter Data

An Improved Knowledge Graph Representation for Ransomware Attacks Using LSTM-Based Named Entity Relation Technique and Twitter Data

A crypto-steganography scheme for IoT applications based on bit interchange and crypto-system

Refining Medical Image Steganography Scheme Based on Pixels Disparity Value and Huffman Coding

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A Steganography Embedding Method Based on Psingle / Pdouble and Huffman Coding

Cited by 7 publications

References 11 publications

An Improved Knowledge Graph Representation for Ransomware Attacks Using LSTM-Based Named Entity Relation Technique and Twitter Data

An Improved Knowledge Graph Representation for Ransomware Attacks Using LSTM-Based Named Entity Relation Technique and Twitter Data

A crypto-steganography scheme for IoT applications based on bit interchange and crypto-system

Refining Medical Image Steganography Scheme Based on Pixels Disparity Value and Huffman Coding

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Product

Resources

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A Steganography Embedding Method Based on P_single / P_double and Huffman Coding