• Gargi Kalia
• Surbhi Gupta

Steganalysis is an art of hiding secret message under a cover image. Several researchers have proposed several techniques to hide the data efficiently. However, there is a room for a novel approach which can hide the data with high accuracy, correction and reduce error rate. Considering this fact, this paper proposed a new approach which is based on Artificial neural network. Initially, three steps are followed such as data hiding, Feature extraction and classification. Proposed approach utilizes several feature extraction approach to extract the features from video frames. In order to conclude the performance of proposed technique, comparison has made with the traditional technique. The simulation analysis confirmed that proposed technique outperforms the traditional technique in view of different performance parameters. The probability of correction and detection has increased with decrease in probability of error rate.

Steganalysis, Artificial Neural Network, Discrete Wavelet Transform, classification

"A hybrid KNN & ANN based approach for video steganalysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.250-255, June-2018, Available :http://www.jetir.org/papers/JETIR1806158.pdf

"A hybrid KNN & ANN based approach for video steganalysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp250-255, June-2018, Available at : http://www.jetir.org/papers/JETIR1806158.pdf