Develop a script in a language of your choice (e.g., Python, PowerShell) that automates a routine network security task (e.g., scanning a network for open ports, automating log analysis for suspicious activities). Provide detailed comments within your code to explain its functionality. No AI use please

You are using a web browser to load a webpage. Let's assume the size of the webpage is negligible. The access link rate of the webserver is 1 Gigabits per second. The IP address for the associated URL is not cached in your local host, so a DNS lookup is necessary to obtain the IP address. Suppose that n DNS servers are visited before your host receives the IP address from DNS; the successive visits incur an RTT of RTT1,..., RTTn. Let RTTo denote the RTT between the local host and the webserver containing the webpage. Now answer the following: 1) Ignore all types of delays at the client and the servers. How much time elapses from when the client clicks on the link of the webpage until the client receives the content of the webpage? 2) Now suppose, the HTML file references 10 additional objects (15 MB each) on the same server. Considering only the transmission delay at the webserver for each of these objects and ignoring all other delays at the host and the servers, recalculate the total…

Please code the following in R.  1a) Load the data set “ufc” (the file is ufc.csv). This data shows diameter at breast height (Dbh) and Height for forest trees. Can you use unstack() to get the diameter data for white pine (WP)? Start by unstacking all the diameter data. Can you also get this data by logical extraction? (Hint: use the function which(). If you really only wanted the data for one species logical extraction would probably be better.) 1b) For the data set ufc find the mean Dbh and Height for each species. (Hint: aggregate is your friend for more than one response variable.) 1c) Make a barplot showing these mean values for each species. Use beside =TRUE (stacking two different variables wouldn’t make sense...). (Hint: this will be easier if you make a new variable for the means from Q2. Look at ?barplot for the data type “height” must have- as.matrix() can be used to make something a matrix.) 1d) The barplot in Q3 suggests a fair correlation between Dbh and height. Plot…