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Researchers Develop Code That Stops Local Scanning Worms
Security
Written by Daniel   
Tuesday, 09 February 2010 18:45

From DarkReading

In tests, algorithm was an efficient estimator of worm virulence and could determine the size of the susceptible host population after only a few infections

Self-propagating worms are malicious computer programs, which, after being released, can spread throughout networks without human control, stealing or erasing hard drive data, interfering with pre-installed programs and slowing, even crashing, home and work computers. Now a new code, or algorithm, created by Penn State researchers targets the "stealthiest" of these worms, containing them before an outbreak can occur.



"In 2001 the 'Code Red' worms caused $2 billion dollars worth of damage worldwide," said Yoon-Ho Choi, a postdoctoral fellow in information sciences and technology at Penn State. "Our algorithm can prevent a worm's propagation early in its propagation stage."

Choi and his colleagues' algorithm defends against the spread of local scanning worms that search for hosts in "local" spaces within networks or sub-networks. This strategy allows them access to hosts that are clustered, which means once they infect one host, the rest can be can be infected quickly. There are many types of scanning worms, but Choi calls these worms the stealthiest because they are the most efficient and can evade even the best worm defenses.   [More...] [Comments...]


 

 

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