Data Analysis, Session Data, Statistical Data (Coursework Sample)

Additional Data Analysis, Session Data, Statistical Data Student Name Institution Course Professor Date Additional Data Analysis, Session Data, Statistical Data There are three types of data: full content, session, and statistical. The tools used to collect them differ, as well as the amount and type of information they give for network security and analysis. Full content data provides a thorough view of network work traffic, capturing every packet, including payload content, protocols, IP addresses, ports, and timestamps. This level of detail is essential for in-depth investigations and deep packet inspection because it lets analysts break down and look at each piece of information in great detail. eSecurity Institute (2023) says that Tcpdump, a command-line tool for recording full packet-level information, is the best way to get full content data. Tcpdump is a crucial tool for analysts who want to do in-depth analyses of network traffic, providing the granular data required for finding security threats and comprehending network work behavior at the highest level of detail. Session data, also called flow data or conversation data, focuses on the metadata of online work exchanges, capturing the essence of user interactions with websites and apps. As well as source and target IP addresses, ports, and timestamps, it also has information about the packets' contents. Understanding the flow of information and communication patterns within the network requires understanding this type of data flow. Tools like Cisco's NetFlow and the open-source Fprobe are very helpful for gathering session data. This gives analysts a better knowledge of the protocols and session dynamics, which helps them find problems and recognize network behavior in a wider sense (Jenifa, 2022). Statistical analysis focuses on analyzing patterns and trends in network traffic over time, providing a broad picture of network health and security. Setting baselines for normal behavior and finding changes that might mean security holes or network problems is important. This data type is gathered using tools like Ipcad, ifstat, and Bmon, allowing for statistical analysis of network work performance and security. By concentrating on trends and patterns rather than individual packet details...