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54 lines
1.8 KiB
R
54 lines
1.8 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/ip.R
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\name{peers.ip.collect}
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\alias{peers.ip.collect}
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\title{Collect connected peers' IP addresses}
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\usage{
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peers.ip.collect(
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csv.file = "xmr-peers-ip.csv",
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unrestricted.rpc.url = "http://127.0.0.1:18081",
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malicious.ips = NULL,
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top.subnet.mask = 24,
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n.top.subnets = 10,
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poll.time = 30
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)
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}
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\arguments{
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\item{csv.file}{The name of the CSV file to write to and read from. If it
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already exists, data will be appended to it and the whole file will be
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used to compute top subnet information.}
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\item{unrestricted.rpc.url}{URL and port of the \code{monerod} unrestricted RPC.
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Default is \verb{http://127.0.0.1:18081}}
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\item{malicious.ips}{A character vector of IP addreses that are suspected
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to be malicious.}
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\item{top.subnet.mask}{Numeric value. The IP address subnet mask to print
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summary information about.}
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\item{n.top.subnets}{Number of subnets to print summary information about.}
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\item{poll.time}{How often, in seconds, to collect data from the local
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monero node. Default is 30 seconds.}
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}
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\value{
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NULL (invisible)
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}
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\description{
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Collects IP addreses of peers that the local node has
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established outbound connections to. The time and set of IP addreses are
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saved to a CSV file. These IP addreses are checked against an optional
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set of suspected malicious IP addresses. Information about the share of
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outbound connections to suspected maclicious IP addreses is printed.
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IP addresses are grouped by subnet and information is printed to check for
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possible "subnet saturation" by malicious entities. This function is an
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infinite loop. \code{ctrl + c} to interrupt the function.
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}
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\examples{
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\dontrun{
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suspected.malicious.ips <- readLines(
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"https://raw.githubusercontent.com/Boog900/monero-ban-list/refs/heads/main/ban_list.txt")
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peers.ip.collect(malicious.ips = suspected.malicious.ips)
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}
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}
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