Soon, self-adapting computer network that defends itself against hackers



Soon, self-adapting computer network that defends itself against hackers 	Washington: In the online struggle for network protection, cybersecurity experts are adding an ally to the security force: the computer network itself.

Kansas State University researchers including Scott DeLoach, professor of computing and information sciences, and Xinming “Simon” Ou, associate professor of computing and information sciences, are researching the feasibility of building a computer network that could protect itself against online attackers by automatically changing its setup and configuration.

The study will be the first to document whether this type of adaptive cybersecurity, called moving-target defense, can be effective.

If it can work, researchers – also including students Rui Zhuang, Su Zhang and Alexandru Bardas - will determine if the benefits of creating a moving-target defense system outweigh the overhead and resources needed to build it.

As the study progresses the computer scientists will develop a set of analytical models to determine the effectiveness of a moving-target defense system.

They will also create a proof-of-concept system as a way to experiment with the idea in a concrete setting.

“It's important to investigate any scientific evidence that shows that this approach does work so it can be fully researched and developed,” DeLoach said.

He started collaborating with Ou to apply intelligent adaptive techniques to cybersecurity several years ago after a conversation at a university open house.

The term moving-target defense - a subarea of adaptive security in the cybersecurity field - was first coined around 2008, although similar concepts have been proposed and studied since the early 2000s.

The idea behind moving-target defense in the context of computer networks is to create a computer network that is no longer static in its configuration.

Instead, as a way to thwart cyber attackers, the network automatically and periodically randomizes its configuration through various methods - such as changing the addresses of software applications on the network; switching between instances of the applications; and changing the location of critical system data.

Ou and DeLoach said the key is to make the network appear to an attacker that it is changing chaotically while to an authorized user the system operates normally.

“If you have a Web server, pretty much anybody in the world can figure out where you are and what software you're running,” DeLoach said.

“If they know that, they can figure out what vulnerabilities you have. In a typical scenario, attackers scan your system and find out everything they can about your server configuration and what security holes it has. Then they select the best time for them to attack and exploit those security holes in order to do the most damage. This could change that.”

Creating a computer network that could automatically detect and defend itself against cyber attacks would substantially increase the security of online data for universities, government departments, corporations and businesses - all of which have been the targets of large-scale cyber attacks.

In February 2011 it was discovered that the Nasdaq Stock Market's computer network had been infiltrated by hackers.

Although federal investigators concluded that it was unlikely the hackers stole any information, the network's security had been left vulnerable for more than a year while the hackers visited it numerous times.

According to Ou, creating a moving-target defense system would shift the power imbalance that currently resides with hackers - who need only find a single security hole to exploit - back to the network administrators - who would have a system that frequently removes whatever security privileges attackers may gain with a new clean slate.

“This is a game-changing idea in cybersecurity,” Ou said.

“People feel that we are currently losing against online attackers. In order to fundamentally change the cybersecurity landscape and reduce that high risk we need some big, fundamental changes to the way computers and networks are constructed and organized,” Ou added.

ANI