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Data Security Techniques Using Vigenere Cipher And Steganography Methods In Inserting Text Messages In Images Smith, Vincent; Mendoza, Maximilian; Ullah, Insaf
Journal of Information Systems and Technology Research Vol. 3 No. 3 (2024): September 2024
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v3i3.867

Abstract

Improving data security has become a top priority in many industries, especially when it comes to sending and receiving private communications. Embedding text into photos using steganography and the Vigenere Cipher Method is one method of protecting text messages. In order to maintain the security of text embedded in images via web-based applications, the main challenge in this research is how to integrate and apply the Vigenere Cipher algorithm and LSB steganography while still paying attention to the size of the image message that has been ciphertexted. insertion and what not. Combining these two techniques aims to increase the level of security when encrypting message text. The message text is encrypted using the Vigenere Cipher to protect it; Encrypted messages are difficult to decipher without the right key. Meanwhile, message text may be hidden visually in photos using steganography. Text messages are efficiently disguised in images and significantly encrypted thanks to the combination of these two techniques. In this research, steganography and Vigenere Cipher techniques are used and tested on various types of images. The combined use of these two techniques effectively improves data security, according to test results. The study also discusses a number of possible defenses, such as image size and quality, that may arise from combining the two approaches. The findings of this research can be applied to improve the security of text messages in various contexts, such as online communications and data storage. Through the integration of steganography and Vigenere Cipher technology, users can guarantee the confidentiality of their communication texts and prevent unapproved access.
YouTube Transcripts Word Frequency Measure Smith, Vincent; Garrett, Michael; Harwood, Austin; Shamblin, James
Journal of linguistics, culture and communication Vol 1 No 2 (2023): Journal of Linguistics, Culture, and Communication
Publisher : CV. Rustam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61320/jolcc.v1i2.91-99

Abstract

Many YouTube videos provide written audio transcripts which provide information on the language used on YouTube. One important measure relating to language usage is word frequency. Using student-developed software and libraries in R, Python, and Microsoft Excel, the transcripts of one million YouTube videos from the YouTube-8M data set were scraped and analyzed. The word frequency of the YouTube data set was shown to correlate with commonly used word frequency measures from established studies, such as the subtitle word frequency and the HAL word frequency.