NURSENO, MUCHLIS (2023) DETECTING HIDDEN ILLEGAL ONLINE GAMBLING SITES ON .GO.ID WEBSITES USING WEB SCRAPER ALGORITHMS. Other thesis, Nusa Putra University.
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Abstract
Widespread connectivity has driven the global surge of online gambling, posing adverse effects on Indonesian society and beyond. Online gambling websites in Indonesia are suspected of employing web defacement for SEO enhancement and as a promotional tactic to evade government restrictions. Online gambling operators collaborating with hackers have progressed beyond conventional black hat SEO tactics. They have now adopted Stealthy Defacement techniques to specifically target sections of web pages, rendering illicit content nearly invisible to both authorities and legitimate users. This manipulation enables the defaced content to achieve higher rankings on search engines. The "DESLOT - detecting slot" initiative identifies potentially compromised websites with .go.id domains which are traditionally reserved for governmental entities, commonly exploited by hackers to boost online gambling site ratings. This method involves analyzing keywords like 'slot,' 'judi,' 'gacor,' and 'togel' within webpage content. Research indicates DESLOT's impressive 99.1% detection accuracy in discerning compromised primary web pages of .go.id domains associated with online gambling. Additionally, the study highlights the success of intricate HTML coding techniques in concealing online gambling URLs, making them nearly imperceptible. The research underscores elaborate strategies by online gambling operators and emphasizes the significance of innovative approaches like DESLOT in countering digital space manipulation.
Keywords: Black Hat SEO, Stealthy Defacement, Web Scraper, Government Website, Online Gambling
| Item Type: | Thesis (Other) |
|---|---|
| Subjects: | Computer > Computer Science |
| Divisions: | Post Graduate School > Magister Computer Science |
| Depositing User: | Unnamed user with email liu@nusaputra.ac.id |
| Date Deposited: | 01 Feb 2025 09:43 |
| Last Modified: | 01 Feb 2025 09:43 |
| URI: | http://repository.nusaputra.ac.id/id/eprint/1378 |
