• Pawan Singh Rajput
• Dr. Megha Kamble

Easiest medium for transferring of information from one place to other is digital. Many type of data like text, audio, video, image, etc. transfer by the same medium and by same techniques. Security of this data is highly depends on the protocols but some of precaution taken by the data owner by embedding some signature or validate information at receiver end. This paper has done a deep survey for methods proposed by researcher for digital image data security. Signature embedding techniques and its properties were detailed in the paper for improving the understanding of research area. In this paper various network attacks were also elaborate that may affects the received data. Various techniques like Least significant bit embedding, swapping, singular value decomposition, histogram sifting, etc. used by scholars for digital data securities techniques were are also explained in the paper, as each feature has its own importance and application area as per the type of image and attacks. This paper has finds that use of frequency domain features are more effective as compared to spatial feature set for embedding. Frequency feature increases the robustness of the signature against different spatial and geometrical attacks. It was also found that use of machine learning for detection of embedded portion is effective and fruitful in attack environment.

Image Processing, Feature Extraction, Frequency Feature, Data hiding,

"A Survey on Digital Data Security Techniques and Attacks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.c410-c417, April-2022, Available :http://www.jetir.org/papers/JETIR2204258.pdf

"A Survey on Digital Data Security Techniques and Attacks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppc410-c417, April-2022, Available at : http://www.jetir.org/papers/JETIR2204258.pdf