Constructing computer virus phylogenies

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There has been much recent algorithmic work on the problem of reconstructing the evolutionary history of biological species. Computer virus specialists are interested in finding the evolutionary history of computer viruses--a virus is often written using code fragments from one or more other viruses, which are its immediate ancestors. A phylogeny for a collection of computer viruses is a directed acyclic graph whose nodes are the viruses and whose edges map ancestors to descendants and satisfy the property that each code fragment is ``invented`` only once. To provide a simple explanation for the data, we consider the problem of constructing ... continued below

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13 p.

Creation Information

Goldberg, L. A.; Goldberg, P. W.; Phillips, C. A. & Sorkin, G. B. March 1996.

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  • Goldberg, L. A. Warwick Univ., Coventry (United Kingdom) Dept. of Computer Science
  • Goldberg, P. W. Aston Univ., Birmingham (United Kingdom) Dept. of Applied Mathematics
  • Phillips, C. A. Sandia National Labs., Albuquerque, NM (United States)
  • Sorkin, G. B. International Business Machines Corp., Yorktown Heights, NY (United States). Thomas J. Watson Research Center

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  • Sandia National Laboratories
    Publisher Info: Sandia National Labs., Albuquerque, NM (United States)
    Place of Publication: Albuquerque, New Mexico

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Description

There has been much recent algorithmic work on the problem of reconstructing the evolutionary history of biological species. Computer virus specialists are interested in finding the evolutionary history of computer viruses--a virus is often written using code fragments from one or more other viruses, which are its immediate ancestors. A phylogeny for a collection of computer viruses is a directed acyclic graph whose nodes are the viruses and whose edges map ancestors to descendants and satisfy the property that each code fragment is ``invented`` only once. To provide a simple explanation for the data, we consider the problem of constructing such a phylogeny with a minimal number of edges. In general, this optimization problem cannot be solved in quasi-polynomial time unless NQP=QP; we present positive and negative results for associated approximated problems. When tree solutions exist, they can be constructed and randomly sampled in polynomial time.

Physical Description

13 p.

Notes

OSTI as DE96006990

Source

  • 7. symposium on combinatorial pattern matching, Laguna Beach, CA (United States), 10-12 Jun 1996

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  • Other: DE96006990
  • Report No.: SAND--96-0716C
  • Report No.: CONF-960679--2
  • Grant Number: AC04-94AL85000
  • Office of Scientific & Technical Information Report Number: 236226
  • Archival Resource Key: ark:/67531/metadc672831

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Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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Creation Date

  • March 1996

Added to The UNT Digital Library

  • June 29, 2015, 9:42 p.m.

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  • Nov. 19, 2015, 6:27 p.m.

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Goldberg, L. A.; Goldberg, P. W.; Phillips, C. A. & Sorkin, G. B. Constructing computer virus phylogenies, article, March 1996; Albuquerque, New Mexico. (digital.library.unt.edu/ark:/67531/metadc672831/: accessed November 20, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.