Review on Principal Component Analysis Video Steganography and Cryptography in Computer Forensics

Exploring the Role of PCA in Video Steganography and Cryptography for Computer Forensics

Authors

  • Monika Chawla
  • Dr. S. K. Mishra

Keywords:

video steganography, principal component analysis, computer forensics, multimedia, face recognition, monitoring system, biometrics, security, pattern detection, real-time applications

Abstract

Video steganography is the art of information hiding mechanism using multimedia. The purpose of the multimedia is getting enlarged day by day. Face recognition systems are also very useful in many applications such as monitoring system, biometrics and security. Principal Component Analysis (PCA) has also been used in some important applications, especially in pattern detection such as face detection and recognition. In real-time applications, the response time must be as small as possible and security must be at a higher level. Steganography and cryptography in computer forensics.

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Published

2017-10-06

How to Cite

[1]
“Review on Principal Component Analysis Video Steganography and Cryptography in Computer Forensics: Exploring the Role of PCA in Video Steganography and Cryptography for Computer Forensics”, JASRAE, vol. 14, no. 1, pp. 848–854, Oct. 2017, Accessed: Jul. 23, 2025. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/7101

How to Cite

[1]
“Review on Principal Component Analysis Video Steganography and Cryptography in Computer Forensics: Exploring the Role of PCA in Video Steganography and Cryptography for Computer Forensics”, JASRAE, vol. 14, no. 1, pp. 848–854, Oct. 2017, Accessed: Jul. 23, 2025. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/7101