I&T Solution
Reference No.
S-0709
Solution Name
Suspicious Scam Website AI Checker for Web3 Records
Solution Description
Suspicious Scam Website AI Checker is a cybersecurity solution in Web3 blockchain record, which enables businesses to identify and respond to suspicious behaviors, anomalies, malware, and attacks. Professionals can utilise the platform to receive alerts about issues and track inbound/outbound traffic to identify threats. Web3 blockchain record of Suspicious Scam Website image and related data for any forensic use.
Features:
1) Protect Users: Safeguard users from falling victim to scams and phishing attacks.
2) Enhance Trust: Increase trust in the Web3 space by providing users with reliable information about website safety.
3) Real-Time Scanning: Analyse websites in real-time for known scam indicators and red flags.
4) AI content checking: Utilise AI to continuously learn from new scam patterns and improve detection accuracy.
5) User Reporting System: Allow users to report suspicious websites, contributing to a community-driven database.
6) Risk Assessment Score: Provide a score indicating the likelihood of a site being a scam based on various factors
Application Areas
City Management
Commerce and Industry
Finance
Law and Security
Social Welfare
Technologies Used
Artificial Intelligence (AI)
Blockchain
Cloud Computing
Data Analytics
Use Case
Any department's website can be monitored with all found suspicious or scam website and its domain, the system will schedule 24/7 or period of time to scan any suspicious or scam website and its domain starting "copy" the orginial one in live using AI checking, then system alert will report to stakeholder and capture the image and content of suspicious or scam website and its domain as evidence for stakeholder's action.
Website identification
- Multi-dimensional similarity analysis
- Automatically generate analysis reports
- Blockchain digital proof
- Visual similarity
- Perceptual hash comparison
- Structural similarity (SSIM) analysis
- Deep learning feature extraction
Besides departments, business or listed companies or NGO can be used.
Company / Organisation Name
Digital Vision Brands Holdings Limited
Email Address
anthony@digitalvisionbrands.comTelephone Number
+85293700400
Address
2006-2008, Chinachem Exchange Square, 338 King's Road, North Point
If any government department would like to conduct PoC trial or technology testing on the I&T solution, please contact Smart LAB.
