README.md
In meekj/netblockr: Lookup IPv4 address in table of netblocks with mutliple netmasks
netblockr
Builds tables of IPv4 networks with base address, netmask, a
description string, and a unique index. The table build
function returns a pointer to R that is used to reference
that table. A vector of IPv4 addresses can then be looked up
and returned in a data frame.
This package was inspired by the Perl Net::Netmask module which provides many more functions for dealing with IPv4 addresses.
Applications:
-
Classify IP addresses by subnet, geographic location, ISP netblock, etc
-
Add company location data to utilization or security reports
-
Summarize data by netblock / subnet, or company location, or AS number, etc
-
Identify 'unknown' IP addresses
-
Aid IP address management using data from logs, packet capture, etc
-
Identify active and in-active subnets based on observed traffic
-
Compute DHCP range utilization
-
Report unexpected IP addresses
To install:
library(devtools)
devtools::install_github("meekj/netblockr")
Example network description file:
# Organization network example (a comment line)
# empty lines are ignored and can be used for human readability
Netblock Region Code More info (indented lines are comments)
10.16.0.0/12 NOAM xxx North America Supernet
10.16.0.0/22 NOAM PTN Princeton NJ Data Center Servers
10.16.4.0/24 NOAM PTN Princeton NJ Data Center Network
10.16.5.0/24 NOAM PTN Princeton NJ Data Center Management
10.16.6.0/23 NOAM PTN Princeton NJ West Wing Floor #1 '#' in data
10.16.8.0/23 NOAM PTN Princeton NJ West Wing Floor #2
10.16.10.0/23 NOAM PTN Princeton NJ Administration Building
10.16.15.0/24 NOAM PTN Princeton NJ Environmental Controls
10.16.18.0/28 NOAM PTN Princeton NJ VPN Routers
10.16.18.16/28 NOAM PTN Princeton NJ DMZ
10.18.10.0/23 NOAM TOL Tolchester Beach MD
10.18.12.0/23 NOAM SCV Sarah Creek VA
10.32.0.0/12 SOAM xxx South America Supernet
10.33.1.0/20 SOAM RIO Brazil
255.255.1.0/24 SOAM ANA Antarctica Near the other edge
0.0.1.0/24 NOAM ART Arctic Near one edge
10.48.0.0/12 EMEA xxx EMEA Supernet
10.48.10.0/23 EMEA LBS London Berkeley Square
10.48.12.0/23 EMEA PSS Portsmouth Southsea
10.48.14.0/23 EMEA IOW Cowes Isle of Wight
10.48.16.0/23 EMEA ZUR Zürich Wasserschöpfi
10.64.0.0/12 APAC xxx APAC Supernet
10.64.10.0/23 APAC SNG Singapore
10.64.12.0/23 APAC TOK Tokyo Heiwajima
Basic usage:
library(dplyr)
library(readr)
library(stringr)
library(netblockr)
## A sample network description file included in the package
organization_net_file <- system.file("extdata", "org-net.txt", package = "netblockr")
## Build the network table in C++ space and get a pointer to the table
nbPtrOrg <- nbReadAndLoadNetwork(organization_net_file)
## Dump the network table, just for verification, etc.
nb <- nbGetNetblockTable(nbPtrOrg)
## Use BlockKey value to sort the netblocks
nb %>% arrange(BlockKey)
NetBlock Base Mask BlockKey Description
1 0.0.1.0/24 0.0.1.0 24 16408 NOAM ART Arctic Near one edge
2 10.16.0.0/12 10.16.0.0 12 10804527116 NOAM xxx North America Supernet
3 10.16.0.0/22 10.16.0.0 22 10804527126 NOAM PTN Princeton NJ Data Center Servers
4 10.16.4.0/24 10.16.4.0 24 10804592664 NOAM PTN Princeton NJ Data Center Network
5 10.16.5.0/24 10.16.5.0 24 10804609048 NOAM PTN Princeton NJ Data Center Management
6 10.16.6.0/23 10.16.6.0 23 10804625431 NOAM PTN Princeton NJ West Wing Floor #1 '#' in data
7 10.16.8.0/23 10.16.8.0 23 10804658199 NOAM PTN Princeton NJ West Wing Floor #2
8 10.16.10.0/23 10.16.10.0 23 10804690967 NOAM PTN Princeton NJ Administration Building
9 10.16.15.0/24 10.16.15.0 24 10804772888 NOAM PTN Princeton NJ Environmental Controls
10 10.16.18.0/28 10.16.18.0 28 10804822044 NOAM PTN Princeton NJ VPN Routers
11 10.16.18.16/28 10.16.18.16 28 10804823068 NOAM PTN Princeton NJ DMZ
12 10.18.10.0/23 10.18.10.0 23 10813079575 NOAM TOL Tolchester Beach MD
13 10.18.12.0/23 10.18.12.0 23 10813112343 NOAM SCV Sarah Creek VA
14 10.32.0.0/12 10.32.0.0 12 10871635980 SOAM xxx South America Supernet
15 10.33.1.0/20 10.33.1.0 20 10875830292 SOAM RIO Brazil
16 10.48.0.0/12 10.48.0.0 12 10938744844 EMEA xxx EMEA Supernet
17 10.48.10.0/23 10.48.10.0 23 10938908695 EMEA LBS London Berkeley Square
18 10.48.12.0/23 10.48.12.0 23 10938941463 EMEA PSS Portsmouth Southsea
19 10.48.14.0/23 10.48.14.0 23 10938974231 EMEA IOW Cowes Isle of Wight
20 10.48.16.0/23 10.48.16.0 23 10939006999 EMEA ZUR Zürich Wasserschöpfi
21 10.64.0.0/12 10.64.0.0 12 11005853708 APAC xxx APAC Supernet
22 10.64.10.0/23 10.64.10.0 23 11006017559 APAC SNG Singapore
23 10.64.12.0/23 10.64.12.0 23 11006050327 APAC TOK Tokyo Heiwajima
24 255.255.1.0/24 255.255.1.0 24 274873729048 SOAM ANA Antarctica Near the other edge
## Some IP addresses to lookup
testAddrs <- c('10.10.10.1', '10.20.10.18', '10.16.3.28', '10.16.8.50', '10.16.9.50',
'10.16.18.18', '10.16.18.35', '10.48.17.32', '10.50.17.32', '192.168.55.47')
## Which netblock contains the IP address?
nbLookupIPaddrs(nbPtrOrg, testAddrs)
## Which netblock contains the IP address?
lookup_result <- nbLookupIPaddrs(nbPtrOrg, testAddrs)
format(lookup_result, justify = 'left')
IPaddr NetBlock Description
1 10.10.10.1 NotFound NotFound
2 10.20.10.18 10.16.0.0/12 NOAM xxx North America Supernet
3 10.16.3.28 10.16.0.0/22 NOAM PTN Princeton NJ Data Center Servers
4 10.16.8.50 10.16.8.0/23 NOAM PTN Princeton NJ West Wing Floor #2
5 10.16.9.50 10.16.8.0/23 NOAM PTN Princeton NJ West Wing Floor #2
6 10.16.18.18 10.16.18.16/28 NOAM PTN Princeton NJ DMZ
7 10.16.18.35 10.16.0.0/12 NOAM xxx North America Supernet
8 10.48.12.32 10.48.12.0/23 EMEA PSS Portsmouth Southsea
9 10.48.17.32 10.48.16.0/23 EMEA ZUR Zürich Wasserschöpfi
10 10.50.17.32 10.48.0.0/12 EMEA xxx EMEA Supernet
11 192.168.55.47 NotFound NotFound
Summarize a Log File
Load a simplified log file:
eventsFile <- system.file("extdata", "sample-events.rds", package = "netblockr")
events <- readRDS(eventsFile)
str(events)
'data.frame': 2088 obs. of 3 variables:
$ clientIP: chr "10.18.12.114" "10.18.12.83" "10.18.12.114" "10.18.12.83" ...
$ bytesOut: num 675 1114 2302 1915 14299 ...
$ bytesIn : num 5495 5336 8262 8163 188897 ...
Add the netblock and description to the log data:
events <- bind_cols(nbLookupIPaddrs(nbPtrOrg, events$clientIP), events)
str(events)
'data.frame': 2088 obs. of 6 variables:
$ IPaddr : chr "10.18.12.114" "10.18.12.83" "10.18.12.114" "10.18.12.83" ...
$ NetBlock : chr "10.18.12.0/23" "10.18.12.0/23" "10.18.12.0/23" "10.18.12.0/23" ...
$ Description: chr "NOAM SCV Sarah Creek VA" "NOAM SCV Sarah Creek VA" "NOAM SCV Sarah Creek VA" "NOAM SCV Sarah Creek VA" ...
$ clientIP : chr "10.18.12.114" "10.18.12.83" "10.18.12.114" "10.18.12.83" ...
$ bytesOut : num 675 1114 2302 1915 14299 ...
$ bytesIn : num 5495 5336 8262 8163 188897 ...
events <- events %>% select(-IPaddr) # Drop redundant column
## Summarise activity by netblock
events %>% group_by(NetBlock, Description) %>%
summarise(clients = n_distinct(clientIP),
sessions = n(),
bytesOut = sum(bytesOut),
bytesIn = sum(bytesIn))
NetBlock Description clients sessions bytesOut bytesIn
<chr> <chr> <int> <int> <dbl> <dbl>
1 10.16.15.0/24 NOAM PTN Princeton NJ Environmental Controls 6 15 7653840 3551079
2 10.18.12.0/23 NOAM SCV Sarah Creek VA 159 1920 273722271 1085349587
3 10.48.0.0/12 EMEA xxx EMEA Supernet 3 3 7416 729002
4 10.48.16.0/23 EMEA ZUR Zürich Wasserschöpfi 20 73 1239276 7310894
5 NotFound NotFound 20 77 1720942 12047027
## What IP addresses are missing from our netblock data?
events %>% filter(NetBlock == 'NotFound') %>% group_by(clientIP) %>%
summarise(sessions = n(), bytesOut = sum(bytesOut), bytesIn = sum(bytesIn))
clientIP sessions bytesOut bytesIn
<chr> <int> <dbl> <dbl>
1 192.168.23.104 4 99916 756769
2 192.168.23.109 4 97062 723106
3 192.168.23.11 4 93663 623539
4 192.168.23.24 2 15325 38615
5 192.168.23.30 4 102594 674512
6 192.168.23.32 4 95682 519877
7 192.168.23.34 4 104277 859812
8 192.168.23.37 4 102996 832232
9 192.168.23.40 4 104264 791723
10 192.168.23.42 4 99396 548900
11 192.168.23.48 2 15336 38652
12 192.168.23.50 4 106441 798105
13 192.168.23.56 2 15330 38630
14 192.168.23.6 6 108890 708144
15 192.168.23.68 4 99962 810146
16 192.168.23.75 4 105036 699622
17 192.168.23.80 4 100968 748943
18 192.168.23.85 4 100436 808482
19 192.168.23.92 4 101634 666671
20 192.168.23.99 5 51734 360547
IP address management examples
## How many of the test IP addresses are in each netblock?
lookup_result %>% count(NetBlock) %>% arrange(desc(n))
# A tibble: 7 x 2
NetBlock n
<chr> <int>
1 10.16.0.0/12 2
2 10.16.8.0/23 2
3 NotFound 2
4 10.16.0.0/22 1
5 10.16.18.16/28 1
6 10.48.0.0/12 1
7 10.48.16.0/23 1
## Active Subnets - which netblocks contain the test IP addresses?
inner_join(nb, lookup_result %>% count(NetBlock), by = 'NetBlock') %>% select(n, NetBlock, Description)
n NetBlock Description
1 2 10.16.0.0/12 NOAM xxx North America Supernet
2 1 10.16.0.0/22 NOAM PTN Princeton NJ Data Center Servers
3 2 10.16.8.0/23 NOAM PTN Princeton NJ West Wing Floor #2
4 1 10.16.18.16/28 NOAM PTN Princeton NJ DMZ
5 1 10.48.0.0/12 EMEA xxx EMEA Supernet
6 1 10.48.16.0/23 EMEA ZUR Zürich Wasserschöpfi
## In-active Subnets, based on the list of test addresses
anti_join(nb, lookup_result, by = 'NetBlock') %>% select(NetBlock, Description)
NetBlock Description
1 0.0.1.0/24 NOAM ART Arctic Near one edge
2 10.16.4.0/24 NOAM PTN Princeton NJ Data Center Network
3 10.16.5.0/24 NOAM PTN Princeton NJ Data Center Management
4 10.16.6.0/23 NOAM PTN Princeton NJ West Wing Floor #1 '#' in data
5 10.16.10.0/23 NOAM PTN Princeton NJ Administration Building
6 10.16.15.0/24 NOAM PTN Princeton NJ Environmental Controls
7 10.16.18.0/28 NOAM PTN Princeton NJ VPN Routers
8 10.18.10.0/23 NOAM TOL Tolchester Beach MD
9 10.18.12.0/23 NOAM SCV Sarah Creek VA
10 10.32.0.0/12 SOAM xxx South America Supernet
11 10.33.1.0/20 SOAM RIO Brazil
12 10.48.10.0/23 EMEA LBS London Berkeley Square
13 10.48.12.0/23 EMEA PSS Portsmouth Southsea
14 10.48.14.0/23 EMEA IOW Cowes Isle of Wight
15 10.64.0.0/12 APAC xxx APAC Supernet
16 10.64.10.0/23 APAC SNG Singapore
17 10.64.12.0/23 APAC TOK Tokyo Heiwajima
18 255.255.1.0/24 SOAM ANA Antarctica Near the other edge
## Addresses from unknown address space
lookup_result %>% filter(Description == 'NotFound')
IPaddr NetBlock Description
1 10.10.10.1 NotFound NotFound
2 192.168.55.47 NotFound NotFound
## Unknown subnets within a supernet
lookup_result %>% filter(str_detect(Description, 'xxx') & str_detect(Description, 'Supernet'))
IPaddr NetBlock Description
1 10.20.10.18 10.16.0.0/12 NOAM xxx North America Supernet
2 10.16.18.35 10.16.0.0/12 NOAM xxx North America Supernet
3 10.50.17.32 10.48.0.0/12 EMEA xxx EMEA Supernet
Cleanup
## When finished, remove pointer, and presumably free the memory
rm(nbPtrOrg)
Notes:
BlockKey is a unique value computed by anding the mask value with the
integer form of netblock base IP address, shifting left 6 bits and
then adding the mask bit count. BlockKey is an unsigned 64 bit number in C++ and a num after being passed back to R.
nbReadAndLoadNetwork() provides a convenient method to read an ASCII
network description and build the netblock table in C++ space, but
users can choose to build the table from vectors, or data frame columns, using
nbBuildNetblockTable() and nbSetMaskOrder().
nbLoadNetwork(nets_df) is a new function to build a network table from a data frame that includes columns named 'NetBlock' & 'Description'.
Only IPv4 is currently supported but portions of the code were written with IPv6 in mind.
meekj/netblockr documentation built on Sept. 9, 2023, 9:37 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
netblockr
Builds tables of IPv4 networks with base address, netmask, a description string, and a unique index. The table build function returns a pointer to R that is used to reference that table. A vector of IPv4 addresses can then be looked up and returned in a data frame.
This package was inspired by the Perl Net::Netmask module which provides many more functions for dealing with IPv4 addresses.
Applications:
-
Classify IP addresses by subnet, geographic location, ISP netblock, etc
-
Add company location data to utilization or security reports
-
Summarize data by netblock / subnet, or company location, or AS number, etc
-
Identify 'unknown' IP addresses
-
Aid IP address management using data from logs, packet capture, etc
-
Identify active and in-active subnets based on observed traffic
-
Compute DHCP range utilization
-
Report unexpected IP addresses
To install:
library(devtools)
devtools::install_github("meekj/netblockr")
Example network description file:
# Organization network example (a comment line)
# empty lines are ignored and can be used for human readability
Netblock Region Code More info (indented lines are comments)
10.16.0.0/12 NOAM xxx North America Supernet
10.16.0.0/22 NOAM PTN Princeton NJ Data Center Servers
10.16.4.0/24 NOAM PTN Princeton NJ Data Center Network
10.16.5.0/24 NOAM PTN Princeton NJ Data Center Management
10.16.6.0/23 NOAM PTN Princeton NJ West Wing Floor #1 '#' in data
10.16.8.0/23 NOAM PTN Princeton NJ West Wing Floor #2
10.16.10.0/23 NOAM PTN Princeton NJ Administration Building
10.16.15.0/24 NOAM PTN Princeton NJ Environmental Controls
10.16.18.0/28 NOAM PTN Princeton NJ VPN Routers
10.16.18.16/28 NOAM PTN Princeton NJ DMZ
10.18.10.0/23 NOAM TOL Tolchester Beach MD
10.18.12.0/23 NOAM SCV Sarah Creek VA
10.32.0.0/12 SOAM xxx South America Supernet
10.33.1.0/20 SOAM RIO Brazil
255.255.1.0/24 SOAM ANA Antarctica Near the other edge
0.0.1.0/24 NOAM ART Arctic Near one edge
10.48.0.0/12 EMEA xxx EMEA Supernet
10.48.10.0/23 EMEA LBS London Berkeley Square
10.48.12.0/23 EMEA PSS Portsmouth Southsea
10.48.14.0/23 EMEA IOW Cowes Isle of Wight
10.48.16.0/23 EMEA ZUR Zürich Wasserschöpfi
10.64.0.0/12 APAC xxx APAC Supernet
10.64.10.0/23 APAC SNG Singapore
10.64.12.0/23 APAC TOK Tokyo Heiwajima
Basic usage:
library(dplyr)
library(readr)
library(stringr)
library(netblockr)
## A sample network description file included in the package
organization_net_file <- system.file("extdata", "org-net.txt", package = "netblockr")
## Build the network table in C++ space and get a pointer to the table
nbPtrOrg <- nbReadAndLoadNetwork(organization_net_file)
## Dump the network table, just for verification, etc.
nb <- nbGetNetblockTable(nbPtrOrg)
## Use BlockKey value to sort the netblocks
nb %>% arrange(BlockKey)
NetBlock Base Mask BlockKey Description
1 0.0.1.0/24 0.0.1.0 24 16408 NOAM ART Arctic Near one edge
2 10.16.0.0/12 10.16.0.0 12 10804527116 NOAM xxx North America Supernet
3 10.16.0.0/22 10.16.0.0 22 10804527126 NOAM PTN Princeton NJ Data Center Servers
4 10.16.4.0/24 10.16.4.0 24 10804592664 NOAM PTN Princeton NJ Data Center Network
5 10.16.5.0/24 10.16.5.0 24 10804609048 NOAM PTN Princeton NJ Data Center Management
6 10.16.6.0/23 10.16.6.0 23 10804625431 NOAM PTN Princeton NJ West Wing Floor #1 '#' in data
7 10.16.8.0/23 10.16.8.0 23 10804658199 NOAM PTN Princeton NJ West Wing Floor #2
8 10.16.10.0/23 10.16.10.0 23 10804690967 NOAM PTN Princeton NJ Administration Building
9 10.16.15.0/24 10.16.15.0 24 10804772888 NOAM PTN Princeton NJ Environmental Controls
10 10.16.18.0/28 10.16.18.0 28 10804822044 NOAM PTN Princeton NJ VPN Routers
11 10.16.18.16/28 10.16.18.16 28 10804823068 NOAM PTN Princeton NJ DMZ
12 10.18.10.0/23 10.18.10.0 23 10813079575 NOAM TOL Tolchester Beach MD
13 10.18.12.0/23 10.18.12.0 23 10813112343 NOAM SCV Sarah Creek VA
14 10.32.0.0/12 10.32.0.0 12 10871635980 SOAM xxx South America Supernet
15 10.33.1.0/20 10.33.1.0 20 10875830292 SOAM RIO Brazil
16 10.48.0.0/12 10.48.0.0 12 10938744844 EMEA xxx EMEA Supernet
17 10.48.10.0/23 10.48.10.0 23 10938908695 EMEA LBS London Berkeley Square
18 10.48.12.0/23 10.48.12.0 23 10938941463 EMEA PSS Portsmouth Southsea
19 10.48.14.0/23 10.48.14.0 23 10938974231 EMEA IOW Cowes Isle of Wight
20 10.48.16.0/23 10.48.16.0 23 10939006999 EMEA ZUR Zürich Wasserschöpfi
21 10.64.0.0/12 10.64.0.0 12 11005853708 APAC xxx APAC Supernet
22 10.64.10.0/23 10.64.10.0 23 11006017559 APAC SNG Singapore
23 10.64.12.0/23 10.64.12.0 23 11006050327 APAC TOK Tokyo Heiwajima
24 255.255.1.0/24 255.255.1.0 24 274873729048 SOAM ANA Antarctica Near the other edge
## Some IP addresses to lookup
testAddrs <- c('10.10.10.1', '10.20.10.18', '10.16.3.28', '10.16.8.50', '10.16.9.50',
'10.16.18.18', '10.16.18.35', '10.48.17.32', '10.50.17.32', '192.168.55.47')
## Which netblock contains the IP address?
nbLookupIPaddrs(nbPtrOrg, testAddrs)
## Which netblock contains the IP address?
lookup_result <- nbLookupIPaddrs(nbPtrOrg, testAddrs)
format(lookup_result, justify = 'left')
IPaddr NetBlock Description
1 10.10.10.1 NotFound NotFound
2 10.20.10.18 10.16.0.0/12 NOAM xxx North America Supernet
3 10.16.3.28 10.16.0.0/22 NOAM PTN Princeton NJ Data Center Servers
4 10.16.8.50 10.16.8.0/23 NOAM PTN Princeton NJ West Wing Floor #2
5 10.16.9.50 10.16.8.0/23 NOAM PTN Princeton NJ West Wing Floor #2
6 10.16.18.18 10.16.18.16/28 NOAM PTN Princeton NJ DMZ
7 10.16.18.35 10.16.0.0/12 NOAM xxx North America Supernet
8 10.48.12.32 10.48.12.0/23 EMEA PSS Portsmouth Southsea
9 10.48.17.32 10.48.16.0/23 EMEA ZUR Zürich Wasserschöpfi
10 10.50.17.32 10.48.0.0/12 EMEA xxx EMEA Supernet
11 192.168.55.47 NotFound NotFound
Summarize a Log File
Load a simplified log file:
eventsFile <- system.file("extdata", "sample-events.rds", package = "netblockr")
events <- readRDS(eventsFile)
str(events)
'data.frame': 2088 obs. of 3 variables:
$ clientIP: chr "10.18.12.114" "10.18.12.83" "10.18.12.114" "10.18.12.83" ...
$ bytesOut: num 675 1114 2302 1915 14299 ...
$ bytesIn : num 5495 5336 8262 8163 188897 ...
Add the netblock and description to the log data:
events <- bind_cols(nbLookupIPaddrs(nbPtrOrg, events$clientIP), events)
str(events)
'data.frame': 2088 obs. of 6 variables:
$ IPaddr : chr "10.18.12.114" "10.18.12.83" "10.18.12.114" "10.18.12.83" ...
$ NetBlock : chr "10.18.12.0/23" "10.18.12.0/23" "10.18.12.0/23" "10.18.12.0/23" ...
$ Description: chr "NOAM SCV Sarah Creek VA" "NOAM SCV Sarah Creek VA" "NOAM SCV Sarah Creek VA" "NOAM SCV Sarah Creek VA" ...
$ clientIP : chr "10.18.12.114" "10.18.12.83" "10.18.12.114" "10.18.12.83" ...
$ bytesOut : num 675 1114 2302 1915 14299 ...
$ bytesIn : num 5495 5336 8262 8163 188897 ...
events <- events %>% select(-IPaddr) # Drop redundant column
## Summarise activity by netblock
events %>% group_by(NetBlock, Description) %>%
summarise(clients = n_distinct(clientIP),
sessions = n(),
bytesOut = sum(bytesOut),
bytesIn = sum(bytesIn))
NetBlock Description clients sessions bytesOut bytesIn
<chr> <chr> <int> <int> <dbl> <dbl>
1 10.16.15.0/24 NOAM PTN Princeton NJ Environmental Controls 6 15 7653840 3551079
2 10.18.12.0/23 NOAM SCV Sarah Creek VA 159 1920 273722271 1085349587
3 10.48.0.0/12 EMEA xxx EMEA Supernet 3 3 7416 729002
4 10.48.16.0/23 EMEA ZUR Zürich Wasserschöpfi 20 73 1239276 7310894
5 NotFound NotFound 20 77 1720942 12047027
## What IP addresses are missing from our netblock data?
events %>% filter(NetBlock == 'NotFound') %>% group_by(clientIP) %>%
summarise(sessions = n(), bytesOut = sum(bytesOut), bytesIn = sum(bytesIn))
clientIP sessions bytesOut bytesIn
<chr> <int> <dbl> <dbl>
1 192.168.23.104 4 99916 756769
2 192.168.23.109 4 97062 723106
3 192.168.23.11 4 93663 623539
4 192.168.23.24 2 15325 38615
5 192.168.23.30 4 102594 674512
6 192.168.23.32 4 95682 519877
7 192.168.23.34 4 104277 859812
8 192.168.23.37 4 102996 832232
9 192.168.23.40 4 104264 791723
10 192.168.23.42 4 99396 548900
11 192.168.23.48 2 15336 38652
12 192.168.23.50 4 106441 798105
13 192.168.23.56 2 15330 38630
14 192.168.23.6 6 108890 708144
15 192.168.23.68 4 99962 810146
16 192.168.23.75 4 105036 699622
17 192.168.23.80 4 100968 748943
18 192.168.23.85 4 100436 808482
19 192.168.23.92 4 101634 666671
20 192.168.23.99 5 51734 360547
IP address management examples
## How many of the test IP addresses are in each netblock?
lookup_result %>% count(NetBlock) %>% arrange(desc(n))
# A tibble: 7 x 2
NetBlock n
<chr> <int>
1 10.16.0.0/12 2
2 10.16.8.0/23 2
3 NotFound 2
4 10.16.0.0/22 1
5 10.16.18.16/28 1
6 10.48.0.0/12 1
7 10.48.16.0/23 1
## Active Subnets - which netblocks contain the test IP addresses?
inner_join(nb, lookup_result %>% count(NetBlock), by = 'NetBlock') %>% select(n, NetBlock, Description)
n NetBlock Description
1 2 10.16.0.0/12 NOAM xxx North America Supernet
2 1 10.16.0.0/22 NOAM PTN Princeton NJ Data Center Servers
3 2 10.16.8.0/23 NOAM PTN Princeton NJ West Wing Floor #2
4 1 10.16.18.16/28 NOAM PTN Princeton NJ DMZ
5 1 10.48.0.0/12 EMEA xxx EMEA Supernet
6 1 10.48.16.0/23 EMEA ZUR Zürich Wasserschöpfi
## In-active Subnets, based on the list of test addresses
anti_join(nb, lookup_result, by = 'NetBlock') %>% select(NetBlock, Description)
NetBlock Description
1 0.0.1.0/24 NOAM ART Arctic Near one edge
2 10.16.4.0/24 NOAM PTN Princeton NJ Data Center Network
3 10.16.5.0/24 NOAM PTN Princeton NJ Data Center Management
4 10.16.6.0/23 NOAM PTN Princeton NJ West Wing Floor #1 '#' in data
5 10.16.10.0/23 NOAM PTN Princeton NJ Administration Building
6 10.16.15.0/24 NOAM PTN Princeton NJ Environmental Controls
7 10.16.18.0/28 NOAM PTN Princeton NJ VPN Routers
8 10.18.10.0/23 NOAM TOL Tolchester Beach MD
9 10.18.12.0/23 NOAM SCV Sarah Creek VA
10 10.32.0.0/12 SOAM xxx South America Supernet
11 10.33.1.0/20 SOAM RIO Brazil
12 10.48.10.0/23 EMEA LBS London Berkeley Square
13 10.48.12.0/23 EMEA PSS Portsmouth Southsea
14 10.48.14.0/23 EMEA IOW Cowes Isle of Wight
15 10.64.0.0/12 APAC xxx APAC Supernet
16 10.64.10.0/23 APAC SNG Singapore
17 10.64.12.0/23 APAC TOK Tokyo Heiwajima
18 255.255.1.0/24 SOAM ANA Antarctica Near the other edge
## Addresses from unknown address space
lookup_result %>% filter(Description == 'NotFound')
IPaddr NetBlock Description
1 10.10.10.1 NotFound NotFound
2 192.168.55.47 NotFound NotFound
## Unknown subnets within a supernet
lookup_result %>% filter(str_detect(Description, 'xxx') & str_detect(Description, 'Supernet'))
IPaddr NetBlock Description
1 10.20.10.18 10.16.0.0/12 NOAM xxx North America Supernet
2 10.16.18.35 10.16.0.0/12 NOAM xxx North America Supernet
3 10.50.17.32 10.48.0.0/12 EMEA xxx EMEA Supernet
Cleanup
## When finished, remove pointer, and presumably free the memory
rm(nbPtrOrg)
Notes:
BlockKey is a unique value computed by anding the mask value with the integer form of netblock base IP address, shifting left 6 bits and then adding the mask bit count. BlockKey is an unsigned 64 bit number in C++ and a num after being passed back to R.
nbReadAndLoadNetwork() provides a convenient method to read an ASCII network description and build the netblock table in C++ space, but users can choose to build the table from vectors, or data frame columns, using nbBuildNetblockTable() and nbSetMaskOrder().
nbLoadNetwork(nets_df) is a new function to build a network table from a data frame that includes columns named 'NetBlock' & 'Description'.
Only IPv4 is currently supported but portions of the code were written with IPv6 in mind.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.