The study suggests a safety for networks risk analysis utilizing a network of a
system to address security issues with the operation of Internet platforms, such as
user privacy leaks. The survey system fully utilizes big data, cloud computing,
and other high-tech tools to precisely identify potential network security issues
and attempt to notify users and relevant departments of any current security
issues. Based on this, the survey system is also created as a little program that
uses very little memory and can continuously identify the security threats in the
network for users. This paper also underlines that to reduce network security
accidents, users must not only fully utilize the system for assessing security risks
but also develop a strong sense of network security awareness. Channel estimate
technology has received a great deal of attention and study as a result of the
ongoing Long-term evolution (LTE), adoption and enhancements in global
communication technologies in recent years. Channel estimation is crucial for
lowering bit error rates and enhancing wireless communication system security.
To gain complete channel information, we discuss the two-dimensional DCT
(Discrete Cosine Transform) channel estimate approach in this study. The channel
estimation method is then simulated and examined. The simulation results
demonstrate that the two-dimensional DCT channel estimation method has a
more accurate estimation performance and can successfully address the error flat
bottom issue in the large delay channel based on DCT transformation. As a result,
it can effectively enhance the communication and transmission security of the
LTE system.
Keywords: Cloud computing, Networks, Security, Safety, Wireless
