Chaladohn: Website and Database Development for Checking of Online Scammers’ Profiles and Victims Assistance
DOI:
https://doi.org/10.14456/jiskku.2023.19Keywords:
Website, Chaladohn, Database, Online Scammers, Fraud, ScamsAbstract
Purpose: To develop a chaladohn website system and create a database of recorded scammer to use as a tool to help reduce against deceptions and frauds and assess your satisfaction with chaladohn website system.
Methodology: This research applied the SDLC method of Waterfall model to develop the system. An example group to test chaladohn website system and create a scammer database system to use as a tool to reduce deception and fraud from scammers: this research has 72 active and real users.
Findings: The results of the research show that the developed system is practical and able to detect scammers before actually transferring, via checking bank’s account name, banks account number, PromptPay, True Wallet, SMS, and phone number. The system also clarifies the identity of the scammers as legit or non-legit, as well as having a function system to help examine and collect evidence. This helps the victim to have more accurate and complete information, and be ready for litigation. From using the system for a sample of 72 people, there was a high level of satisfaction (𝑥̅ = 4.14, S.D. = 1.01).
Applications of this study: Chaladohn website and its scammers database system is a tool to help reduce the number of online crimes. Since in this system, there is a function that allows the online shopper to check the information of the online seller or the money transferee who has previously reported fraud. There is also a system that helps in collecting documentary evidence used in litigation. This saves time for litigation.
Downloads
References
Actionfraud. (2022). News & Alerts. Retrieved from https://www.actionfraud.police.uk/
Aswinanan, S. (2022). A form of fraud in the modern era that people should be very careful about. Retrieved from http://race.nstru.ac.th/nstru_portal/personnel_section/resources/file_download /1513649519.pdf
Bank of Thailand. (2021). Payment through various payment systems and channels. Retrieved from https://www.bot.or.th/App/BTWS_STAT/statistics/ReportPage.aspx?reportID=681&language=th
Blacklistseller. (2022). Read Blacklistseller Online fraud detection center. Retrieved from https://www.blacklistseller.com/home/admin_volunteer
Canadian Anti-Fraud Centre. (2022). Recent scams and fraud. Retrieved from https://www.antifraudcentre-centreantifraude.ca/index-eng.htm
Checkkonkong. (2022). Check scammers online. Checkkonkong. Retrieved from https://xn--12cfanl6g3mua5b.com/
Citizensadvice. (2022). Consumer: Scams. Retrieved from https://www.citizensadvice.org.uk/consumer/
CSD. (2018). 4 common forms of online fraud online via Facebook, Line, Instagram. Retrieved from https://csd.go.th/2114/
Datareportal. (2020). DIGITAL 2020: THAILAND. Retrieved from https://datareportal.com/reports/digital-2020-thailand
Dechsakul, N & Trimek, J. (2020). Online Shopping Frauds in Thailand. RSU International Research Conference 2022. (1141-1151). Pathum Thani: Rangsit University.
ETDA, (2020). Personal information is leaked, “lose money, lose yourself, regret”. Retrieved from https://www.etda.or.th/th/Knowledge-Sharing/Personal-Data-Protection-in-IFBL.aspx
Gimme. (2019). Proportion of people trading through mobile phones. Retrieved from https://droidsans.com/thailand-world-top-mobile-purchase/
Khumphaet, N. (2020). The Violation of Right to Privacy and Right to Reputationby Vilificationin Electronic Commerce Area. CMU Journal of Law and Social Sciences, 13(1), 24-53.
Nalisa. (2019). The most popular online shopping trend in the world. Retrieved from https://marketeeronline.co/archives/131754
Nindum, K., Nindum, S., Srilapat, I., Suanngam, P., Mongkolsiri, W. & Panyati, P. (2020). Cheats methods, communication channels and experience of online fraud in deception of the elderly in Chiang Rai Province. CRRU Journal of Communication Chiang Rai Rajabhat University, 3(3), 50–67.
Pantipmarket. (2022). Buy-Sell online on pantipmarket. Retrieved from https://www.pantipmarket.com/
Phanngam, T., & Kopsiriphat, W. (2021). A development of spatial database and community products for tourism at Chaloem Phra Kiat District, Na khon Ratchasima Province. Journal of Information Science, 39(3), 28-42.
Phongnumkul, A., Savangkit, W., Phitphibun, P., & Phitphibun, C. (2020). The development of welfare management system for wiang subdistrict administration organization, Wiang Pa Pao District, Chiang Rai. Journal of Information Science, 38(2), 70-83.
Rmonlineservices. (2021). What is the SDLC Model? What are the steps?. Retrieved from https://www.rmonlineservices.com/article/13/SDLC-Model/
Scamalert. (2022). Spot the Scam Signs. Retrieved from https://www.scamalert.sg/
Scamwatch. (2022). News and alerts: Scams Awareness Week 2021. Retrieved from https://www.scamwatch.gov.au/
Srijaem, P. & Kraiwanit, T. (2019). Financial fraud in digital era. The 15th National Academic Conference and The 5th Prachachuen Research Network a World Without Borders: Directions for Education, Health and Innovation, College of Education with Research and Development Division, Dhurakij Pundit University.
Stabundamrongrajanubhab. (2018). Current deception patterns/behavior. Stabundamrongrajanubhab Office of the Permanent Secretary, Ministry of Interior. Retrieved from http://www.stabundamrong.go.th/web/thainiyom/deceive.pdf
The National Cyber Security Centre. (2022). Helping to make the UK the safest place to live and work online. Retrieved from https://www.ncsc.gov.uk/
Verme. (2022). Online seller identity verification service. Retrieved from https://verme.me/how-to
Whoscheat. (2022). Check for scammers - Check for scammers, scammers accounts for sure before transferring money. Retrieved from https://www.whoscheat.com/
