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AWS KMS Client Package.

aws.kms is a package for the AWS KMS Service.

To use the package, you will need an AWS account and to enter your credentials into R. Your keypair can be generated on the IAM Management Console under the heading Access Keys. Note that you only have access to your secret key once. After it is generated, you need to save it in a secure location. New keypairs can be generated at any time if yours has been lost, stolen, or forgotten. The aws.iam package profiles tools for working with IAM, including creating roles, users, groups, and credentials programmatically; it is not needed to use IAM credentials.

To use the package, you will need an AWS account and to enter your credentials into R. Your keypair can be generated on the IAM Management Console under the heading Access Keys. Note that you only have access to your secret key once. After it is generated, you need to save it in a secure location. New keypairs can be generated at any time if yours has been lost, stolen, or forgotten. The aws.iam package profiles tools for working with IAM, including creating roles, users, groups, and credentials programmatically; it is not needed to use IAM credentials.

A detailed description of how credentials can be specified is provided at: https://github.com/cloudyr/aws.signature/. The easiest way is to simply set environment variables on the command line prior to starting R or via an Renviron.site or .Renviron file, which are used to set environment variables in R during startup (see ? Startup). They can be also set within R:

Sys.setenv("AWS_ACCESS_KEY_ID" = "mykey",
           "AWS_SECRET_ACCESS_KEY" = "mysecretkey",
           "AWS_DEFAULT_REGION" = "us-east-1",
           "AWS_SESSION_TOKEN" = "mytoken")

Code Examples

The core function in aws.kms is create_kms_key() which generates a KMS encryption key.

library("aws.kms")

# create key
k <- create_kms_key(description = "example")
# get key
get_kms_key(k)

With a key, it is possible to do arbitrary encryption:

# encrypt
tmp <- tempfile()
cat("example test", file = tmp)
(etext <- encrypt(tmp, k))

# decrypt
(dtext <- decrypt(etext, k, encode = FALSE))
if (require("base64enc")) {
    rawToChar(base64enc::base64decode(dtext))
}

Installation

CRAN Downloads RForge Travis Build Status codecov.io

Latest stable release from CRAN:

install.packages("aws.kms", repos = "https://cloud.R-project.org")

Lastest development version from RForge.net:

install.packages("aws.kms", repos = c("https://RForge.net", "https://cloud.R-project.org"))

On Windows you may need to add INSTALL_opts = "--no-multiarch"

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.