Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques

2018 doctoral thesis by Vijay Jeevanantham Naidu at Auckland University of Technology
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Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques

Summary

Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques is a doctoral thesis[1].

Key Facts

  • Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques authored Vijay Naidu[2].
  • Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques's instance of is recorded as doctoral thesis[3].
  • Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques was published by Tuwhera Open Access Publisher[4].
  • Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques's language of work or name is recorded as English[5].
  • Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques's country of origin is recorded as New Zealand[6].
  • Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques was released on 2018[7].
  • Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques's main subject is phylogenetics[8].
  • Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques's main subject is bioinformatics[9].
  • Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques's main subject is data mining[10].
  • Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques's main subject is Smith–Waterman algorithm[11].
  • Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques's title is recorded as Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques[12].
  • Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques's copyright holder is recorded as Vijay Naidu[13].
  • Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques's thesis submitted to is recorded as Auckland University of Technology[14].
  • Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques's on focus list of Wikimedia project is recorded as NZThesisProject[15].
  • Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques's copyright status is recorded as copyrighted[16].
  • Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques's thesis committee member is recorded as Ajit Narayanan[17].
  • Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques's thesis committee member is recorded as Russel Pears[18].
  • Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques's thesis committee member is recorded as Jacqueline Whalley[19].
  • Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques's thesis submitted for degree is recorded as Doctor of Philosophy[20].

Body

Designation and Status

Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques's instance of is recorded as doctoral thesis[3].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] . wikidata.org.
  2. [2] . wikidata.org.
  3. [4] . wikidata.org.
  4. [5] . wikidata.org.
  5. [6] . wikidata.org.
  6. [7] . wikidata.org.
  7. [8] . wikidata.org.
  8. [9] . wikidata.org.
  9. [10] . wikidata.org.
  10. [11] . wikidata.org.
  11. [12] . wikidata.org.
  12. [13] . wikidata.org.
  13. [14] . wikidata.org.
  14. [15] . wikidata.org.
  15. [16] . wikidata.org.
  16. [17] . wikidata.org.
  17. [18] . wikidata.org.
  18. [19] . wikidata.org.
  19. [20] . wikidata.org.

Class ancestry

  1. [1] . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques. Retrieved May 3, 2026, from https://4ort.xyz/entity/identifying-polymorphic-malware-variants-using-biosequence-analysis-techniques
MLA “Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/identifying-polymorphic-malware-variants-using-biosequence-analysis-techniques.
BibTeX @misc{4ortxyz_identifying-polymorphic-malware-variants-using-biosequence-analysis-techniques_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques}}, year = {2026}, url = {https://4ort.xyz/entity/identifying-polymorphic-malware-variants-using-biosequence-analysis-techniques}, note = {Accessed: 2026-05-03}}
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Edit History

Rolling log of changes to this entity's Wikidata record. Values shown reflect the current state of each edited property — follow the history link to see the precise diff for any edit.

  1. 9d ago · DrThneed · 2026-09-06 view diff on Wikidata ↗
    Publication date +2018-00-00T00:00:00Z
    Thesis submitted for degree Doctor of Philosophy
    Main subject phylogenetics, bioinformatics, data mining +1
    Title Identifying Polymorphic Malware Variants Using Biosequence A
    + 13 other properties edited (see Wikidata diff for full list)
    "/* wbeditentity-update:0| */ QuickStatements 3.0 [[:toollabs:qs-dev/batch/52322|batch #52322]]: AUT"
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