Volume 9 Number 2 (Feb. 2014)
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JCP 2014 Vol.9(2): 441-446 ISSN: 1796-203X
doi: 10.4304/jcp.9.2.441-446

Email Hoax Detection System Using Levenshtein Distance Method

Yoke Yie Chen, Suet-Peng Yong, and Adzlan Ishak
Computer & Information Sciences Department Universiti Teknologi PETRONAS Bandar Seri Iskandar, 31750 Tronoh, Perak, Malaysia

Abstract—Hoaxes are non-malicious viruses. They live on deceiving human’s perception by conveying false claims as truth. Throughout history, hoaxes have actually able to influence a lot of people to the extent of tarnishing the victim’s image and credibility. Moreover, wrong and misleading information has always been a distortion to a human’s growth. Some hoaxes were created in a way that they can even obtain personal data by convincing the victims that those data were required for official purposes. Hoaxes are different from spams in a way that they masquerade themselves through the address of those related either directly or indirectly to us. Most of the time, they appear as a forwarded message and sometimes from legit companies. This paper addresses this issue by developing a hoax detection system by incorporating text matching method using Levenshtein Distance measure. The proposed model is used to identify text-based hoax emails. Sensitivity and specificity are used to evaluate the accuracy of the system in identifying hoax emails.

Index Terms—hoax detection system, Levenshtein distance, text analysis

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Cite: Yoke Yie Chen, Suet-Peng Yong, and Adzlan Ishak, "Email Hoax Detection System Using Levenshtein Distance Method," Journal of Computers vol. 9, no. 2, pp. 441-446, 2014.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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