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SeverynMastersThesisFinal11-2014.pdf (681.13 KB)

ETD Abstract Container

Abstract Header

Adapting Linguistic Deception Cues for Malware Detection

Severyn, Stacie Noel
http://rave.ohiolink.edu/etdc/view?acc_num=wright1421025881

Abstract Details

2014, Master of Science in Computer Engineering (MSCE), Wright State University, Computer Engineering.
People verbally express themselves in a variety of ways, yet the same patterns consistently appear within the words of a person who is being deceptive. This research provides insight and demonstrates that similar patterns exist within malicious software that do not commonly exist within benign software, and can be used to help determine that the software is malicious or untrustworthy. The patterns that have been shown to exist within deceptive language were investigated to determine whether similar patterns exist within malware. Tests were performed to determine whether malware is more likely to consistently contain a higher or lower frequency of each instruction, contain unnecessary instructions, lack instructions to match each other, or is more compact and stealthy than benign software. 310 malware files were obtained from VirusShare and 200 viruses were generated by VCL32 (Virus Creation Laboratory) and Mass Code Generator (MPCGEN) to compare against 276 clean Windows 7 application files. The results showed that malware can be differentiated from benign software by searching for patterns within the disassembled code. These patterns will allow stronger protections to be developed and show promise to prevent future systems from being compromised.
S. Narayanan, Ph.D., P.E. (Advisor)
Mateen Rizki, Ph.D. (Advisor)
Krishnaprasad Thirunarayan, Ph.D. (Committee Member)
85 p.
Computer Engineering
malware detection

Recommended Citations

Citations

  • Severyn, S. N. (2014). Adapting Linguistic Deception Cues for Malware Detection [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1421025881

    APA Style (7th edition)

  • Severyn, Stacie. Adapting Linguistic Deception Cues for Malware Detection. 2014. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1421025881.

    MLA Style (8th edition)

  • Severyn, Stacie. "Adapting Linguistic Deception Cues for Malware Detection." Master's thesis, Wright State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wright1421025881

    Chicago Manual of Style (17th edition)

wright1421025881
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© 2014, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.