Developed Lightweight Cryptographic Algorithms for The Application of Image Encryption: A Review

Mazher, Alaa Noori; Waleed, Jumana; Maolood, Abeer Tariq

doi:10.29304/jqcm.2021.13.2.788

Cited by 3 publications

(2 citation statements)

References 22 publications

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“…In order to evaluate the strength of video encryption, human examination is not the only method, so other measurement techniques were relied upon to assess the level of encryption more objectively and accurately. There are many measures of quality factors, and the most important of these factors that were used to measure the proposed method (UACI, PSNR, NPCR, MSE, correlation and entropy) 24,30 , this is shown in Table 2. 8 , and whenever the result is close to this value, the results are good, also note that the results of the proposed algorithm are very good due to its closeness to the ideal value, demonstrating that the suggested encryption technique was effective in distributing the encrypted frame's pixels at random.…”

Section: Resultsmentioning

confidence: 99%

“…Different information formats may now be legally accessed by an authentic user thanks to encryption techniques 22 . Any system that needs high-speed encryption, like SSL 23 and WEP 24 , can benefit from effective stream cipher implementations. The goal of the ECRYPT (eSTREAM) 25 stream cipher project is to find novel stream ciphers that enable fast and safe encryption.…”

Section: Light Stream Algorithmmentioning

confidence: 99%

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A Proposed Text Encryption inside Video Using Harris Corner Detection and Salas20 Encryption Algorithm

Fadhil,

Hussien,

Khairi

et al. 2024

Baghdad Sci.J

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Text encryption in video is a vital tool in many industries where protecting sensitive information is of highest concern. Algorithms and automated detection methods commonly struggle to locate hidden text in video frames. This resistance increases the security of the concealed information because it is challenging for uninvited parties to detect the presence of encrypted text. This research suggests a novel method for text encryption inside video utilizing the Salsa20 encryption algorithm and Harris Corner Detection. The goal of this study is to increase the secrecy and security of textual information that is embedded in video content. First step is locateing important corners or spots inside the video frames, the Harris Corner Detection method is first used. These corners act as strong feature points that can be used to incorporate text. Without degrading the video's overall visual quality, the Harris Corner Detection method aids in precisely localizing the places where text may be concealed. Second, the encryption key is generated using the Salsa20 encryption technique. Salsa20 is a popular stream cipher that offers reliable encryption and effective operation. The embedded text is converted into a cipher text by XOR it with the encryption key before embedding it in the video, guaranteeing its confidentiality and protecting it from unauthorized access. Comparing the suggested method to current text encryption methods reveals a number of advantages. The Harris Corner Detection technique integrates text into video frames so that it blends in less noticeably, making it more difficult for adversaries to identify the existence of hidden information. Salsa20's use further guarantees the encrypted text's high level of security and protection, defending it against potential attacks. The proposed system is evaluated using MSE, PSNR, correlation, NPCR, UACI and entropy, these evaluation metrics provide excellent results.

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Section: Resultsmentioning

confidence: 99%