Nowadays, Li-Fi is becoming very popular and catching the interest of a number of users with its advanced technology-based features. It brings a new resolution in the wireless communication and people are showing so much curiosity to know about it. Li-Fi is an optical wireless communication-based technology which transmits data over the network through a light source like LED’s instead of radio frequency signals (RF) with very high data rate. The aim of this paper is to give full- fledged knowledge about Li-Fi & its applications. This paper also attempts to clarify the basic difference between wireless technologies and their evolution & how this new technology is leading all over the world with its features like less power consumption, less requirement of maintenance, & bi-directional in nature. Li-Fi eliminates the effect of harmful radiations that occur due radio signals as in Wi-Fi and has less latency rate. This paper gives an overview and the general idea about working on Li-Fi technology and how it will help in the development of bright future as it is beyond the expectations of end users.

In this paper, our main aim is to compare different video formats and analyze what will be the effect on quality when we hide same secret message in different type of formats such as RGB color videos, .avi (colored and uncompressed video format), and mp4(colored and compressed video format) using edge detection and 7 pair identical match techniques. . In research work, edge areas are used to hide high capacity of secret data behind a video file. As edges are very sharp in nature and their frequency values are changed continuously, which can't be seen by the human visual system (HVS) due to the low probability of being perceived. The analysis is done on the basis of quality metrics such as PSNR, BER and Histogram Analysis for different format video clips. The Experimental results show that proposed algorithm provides resistance against Chi-square statistical attack and visual attacks. 

In this paper, our main motive to compare different video formats and also analyze what will be the effect on quality when we embed same watermark in different type of formats such as .avi (colored and uncompressed video format), mp4(colored and compressed video format) & grey color image using discrete wavelet transform & singular value decompositions techniques. In research work, HH bands are used to embed the watermark into video because this band are less sensitive to human eyes and not easily detected or captured by human visual system. It also helps to improve the quality of video. The analysis is done on the basis of quality metrics such as PSNR, BER & MSE for different format video clips.