Virus prediction system and method

Information security – Monitoring or scanning of software or data including attack... – Intrusion detection

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C713S188000

Reexamination Certificate

active

07409720

ABSTRACT:
Methods and apparatus for predicting the incidence of a new virus a within a system based upon previous infections recorded within the system. According to one aspect of the present invention, a method for responding to a virus alert that provides information pertaining to a new virus includes obtaining the virus alert and assessing a risk level associated with the new virus. The risk level indicates the predicted likelihood that the first virus will cause significant damage in the event that the new virus infects the computer system. Finally, the method includes obtaining computer code such as a driver and/or a dat when the risk level indicates that the new virus may pose a significant risk to the computer system.

REFERENCES:
patent: 6035423 (2000-03-01), Hodges et al.
patent: 6088804 (2000-07-01), Hill et al.
patent: 6123737 (2000-09-01), Sadowsky
patent: 6279113 (2001-08-01), Vaidya
patent: 6393424 (2002-05-01), Hallman et al.
RCMP, “Security Information Publication 5: Guide to Threat Risk Assessment For Information Technology”, Nov. 1994, pp. 1-24.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Virus prediction system and method does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Virus prediction system and method, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Virus prediction system and method will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-4006207

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.