A CRT-LZW-Based Compression of Multiple and Large Size Images for Clustered Embedding in Image Cover

Alfa, Abraham Ayegba; Ahmed, Kharimah Bimbola; Misra, Sanjay; Dhawale, Chitra A.; Ahuja, Ravin

doi:10.1007/978-981-16-2709-5_45

Cited by 1 publication

(3 citation statements)

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“…To further ensure the superiority of the proposed crypto-steganography approach, we compared its accomplishment with recent related steganography algorithms that are introduced in [ 38 , 39 , 58 ]. These introduced algorithms are based on only one stage of LSB steganography without employing further security stages like encryption or random embedding strategy as investigated in our proposed work in this paper.…”

Section: Results and Comparisonsmentioning

confidence: 99%

“…These introduced algorithms are based on only one stage of LSB steganography without employing further security stages like encryption or random embedding strategy as investigated in our proposed work in this paper. Table 7 shows the objective outcomes of the comparative analysis between the proposed approach compared to the related algorithms [ 38 , 39 , 58 ] in terms of all quality assessment metrics that were presented in Table 3 .…”

Section: Results and Comparisonsmentioning

confidence: 99%

“…The major advantage of employing the LSB-based steganography process is achieving high imperceptibility. This is why recent works [ 38 , 39 ] have utilized LSB to hide benign data.…”

Section: Proposed Crypto-steganography Approachmentioning

confidence: 99%

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A Crypto-Steganography Approach for Hiding Ransomware within HEVC Streams in Android IoT Devices

Almomani

Alkhayer

El‐Shafai

2022

Sensors

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Steganography is a vital security approach that hides any secret content within ordinary data, such as multimedia. This hiding aims to achieve the confidentiality of the IoT secret data; whether it is benign or malicious (e.g., ransomware) and for defensive or offensive purposes. This paper introduces a hybrid crypto-steganography approach for ransomware hiding within high-resolution video frames. This proposed approach is based on hybridizing an AES (advanced encryption standard) algorithm and LSB (least signification bit) steganography process. Initially, AES encrypts the secret Android ransomware data, and then LSB embeds it based on random selection criteria for the cover video pixels. This research examined broad objective and subjective quality assessment metrics to evaluate the performance of the proposed hybrid approach. We used different sizes of ransomware samples and different resolutions of HEVC (high-efficiency video coding) frames to conduct simulation experiments and comparison studies. The assessment results prove the superior efficiency of the introduced hybrid crypto-steganography approach compared to other existing steganography approaches in terms of (a) achieving the integrity of the secret ransomware data, (b) ensuring higher imperceptibility of stego video frames, (3) introducing a multi-level security approach using the AES encryption in addition to the LSB steganography, (4) performing randomness embedding based on RPS (random pixel selection) for concealing secret ransomware bits, (5) succeeding in fully extracting the ransomware data at the receiver side, (6) obtaining strong subjective and objective qualities for all tested evaluation metrics, (7) embedding different sizes of secret data at the same time within the video frame, and finally (8) passing the security scanning tests of 70 antivirus engines without detecting the existence of the embedded ransomware.

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Section: Results and Comparisonsmentioning

confidence: 99%