The main objective of the project is to provide security for the images using histogram of oriented techniques.
In this work, encryption & decryption process will take place based on Histogram of Oriented Gradient (HOG) and Pixel Value Differencing (PVD)-Least Significant Bit (LSB) substitution. Steganography is the practice of hiding a secret message inside of something that is no secret.
Due to the increase and urgent demand for data transmission through social networks, information hiding was one of the most critical concerns in human societies. The common use of the Internet and cloud providers in data storage over open networks and unreliable platforms expose private and confidential data to dangerous circumstances. A number of data hiding schemes have been developed, including steganography, in order to keep an unauthorized individual from transmitting the information.
Applied to the hiding of sensitive documents on different forms of digital media, such as photographs, audio and video, and email. Here, we embed and extract the text message into images and text messages from the image.
Keywords: Data hiding, Steganography, Pixel value differencing, Least significant bit, Histogram of oriented gradient, HOG.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Software: Matlab 2018a or above
Hardware:
Operating Systems:
Processors:
Minimum: Any Intel or AMD x86-64 processor
Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support
Disk:
Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation
Recommended: An SSD is recommended A full installation of all MathWorks products may take up to 29 GB of disk space
RAM:
Minimum: 4 GB
Recommended: 8 GB