Abstract:
Modern corporate networks are targeted by attacks from the Internet. The
consequences of cyberattacks can be devastating, including loss of business information,
theft of money, the cost of repairing affected systems, and possible damage to an
organization's reputation. With the right devices, security can detect suspicious traffic.
With proper network security techniques in place, its security analysts get early
warning of emerging problems. This research sought to explore and build a basic, robust
system that could be used to distinguish between suspicious practices in network traffic.
In my tests I tried:
Discuss and analyze network traffic and gadget suspicious conspiracies. Analyze
current techniques used to detect suspicious activity in network traffic. Development of
systems to detect suspicious conspiracies in network traffic. Approve the proposed
system. After review, the study plan was approved. The experiment was run in Virtual
Box with Windows 7 and Snort and Metasploit's web GUI.
Snort had the ability to intercept and report large packets sent to this machine.
Network traffic was the subject of this study. Researchers sent packets over the
network. Network traffic was analyzed using network security tools analyzed by
researchers and selected for accessibility and similarity to each other for the desired
deployment.
By providing precise critiques of what network administrators at various
organizations can identify as questionable practices within their networks, the research
has resulted in significant improvements.
