Diffie-Hellman Key Exchange
First published at:
http://www.adamsinfo.com/diffie-hellman-key-exchange/
Diffie-Hellman Key Exchange is a popular mathematical key exchange algorithm. It allows two parties to establish a ‘key’ over an insecure medium such as the internet. As you will see, it doesn’t matter whether the intercepting party captures each piece of transmitted information, they will not be able to break the key in any way, other than the usual brute force method.
Diffie-Hellman Key Exchange is not an encryption method, it is generall but not always used pre encryption to decide on a shared encryption key.
We will call the communicating parties Bill and Ben. Let Roger be the intercepting party. You can work out these calculations on a calculator:
Bill and Ben transmit and agree on a public prime number (p) and a ‘generator’ (g) which is an integer less than ‘p’. Bill now decides on a random private number (a) which he does not transmit, Ben also agrees on a random private number (b) which he does not transmit either.
In this example, Bill and Ben decide that:
p=137
g=13
Roger catches p(137) and g(13)
Bill decides privately that a=31
Ben decides privately that b=23
In actual fact these numbers will be much larger to hinder brute force. We’re going to use small numbers in our example though.
Bill now computes:
j = (ga)modp [ programatically j=(g^a)%p]
j = (1331)mod137
j = 20
Ben now computes:
k = (gb)modp [ programatically k=(g^b)%p ]
k = (1323)mod137
k = 24
Ben now transmits k to Bill, and Bill transmits j to Ben
Roger captures (j)20 and (k)24
Bill now computes:
x = kamodp [programatically =(k^a)%p
x = 2431mod137
x = 91
Bill now knows that the shared encryption key is 72. He does not [need to] transmit it.
Ben calculates:
x = jbmodp [programatically =(j^b)%p
x = 2023mod137
x = 92
Ben also now knows that the shared encryption key is 72. He does not [need to] transmit it.
At this point, expand outwards:
x = 92
x = jbmodp = kamodp
((ga)modp)bmodp == ((gb)modp)amodp
Despite the fact that Roger has caught each individual transmission, j, k, g, and p, he can not work out x.
Now that both sides know the key, we can now agree that they’re going to encrypt using AAE - Adam’s Amazing Encryption.
Bob takes his phrase to encrypt - “password” and adds ‘72′ to each character using the ASCII alphabet:
Bob can now turn his phrase to a hex string:
\x70\x61\x73\x73\x77\x6f\x72\x64
And then add 72 to each character, making sure it wraps around 255:
\xb8\xa9\xbb\xbb\xbf\xb7\xba\xac
Ben can now decrypt using the opposite method.
In actual fact, not only would the key be substantially longer than ‘72′, but our encryption algorithm of choice ‘AAE’ would also be replaced with something more cryptographically sound :-) - Possibly RC4
Enjoy!
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Sponsored by AMD
Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6
Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.
Learn more about catching the bad guy in this free white paper.
Sponsored by DLT Solutions
| Designing Electronics with Linux | May 22, 2013 |
| Dynamic DNS—an Object Lesson in Problem Solving | May 21, 2013 |
| Using Salt Stack and Vagrant for Drupal Development | May 20, 2013 |
| Making Linux and Android Get Along (It's Not as Hard as It Sounds) | May 16, 2013 |
| Drupal Is a Framework: Why Everyone Needs to Understand This | May 15, 2013 |
| Home, My Backup Data Center | May 13, 2013 |
Enter to Win an Adafruit Pi Cobbler Breakout Kit for Raspberry Pi

It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- 5-21-13, Prototyping Pi Plate Kit: Philip Kirby
- Next winner announced on 5-27-13!
Featured Jobs
| Linux Systems Administrator | Houston and Austin, Texas | Host Gator |
| Senior Perl Developer | Austin, Texas | Host Gator |
| Technical Support Rep | Houston and Austin, Texas | Host Gator |
| UX Designer | Austin, Texas | Host Gator |
| Web & UI Developer (JavaScript & j Query) | Austin, Texas | Host Gator |
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?



3 hours 39 min ago
3 hours 56 min ago
5 hours 49 min ago
7 hours 43 min ago
14 hours 37 min ago
14 hours 53 min ago
16 hours 44 min ago
22 hours 36 min ago
1 day 3 hours ago
1 day 3 hours ago