Detecting Malicious Http Users Using The Community Structure Property In Interaction Graph
- Technology Benefits
- Detects HTTP scanners with 96.5% precision – better than existing methodologies Differentiates between legitimate HTTP requests and stealthy requests
- Technology Application
- Government agencies – fraud, identity theftSecurity system companiesInternet service providersIT companiesTracking software companies
- Detailed Technology Description
- None
- Others
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Images
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Tech ID/UC Case
25276/2015-356-1
Related Cases
2015-356-1
- *Abstract
-
Background:
Wealth is being transferred into the hands of malicious cybercriminals with an estimated annual global cost of $445B from Intellectual Property (IP) theft. The security industry needs to rapidly progress to keep up with the ever more innovating cybercrimes. Due to the inadequacy of traditional security scanning software, we need a better method that is proficient in detecting perpetrators before they gain access to confidential information.
Brief Description:
Malicious HTTP scanners scan for vulnerable websites with easy access into private information. UCR researchers created Scanner Hunter, a reconnaissance tool that will enable them to take preemptive measures before actual infiltration occurs. The tool has an innovative approach of filtering HTTP requests and tagging them as malignant or benign. Their dynamic methodology and algorithm successfully achieves its functions with 96.5% accuracy while virtually eliminating all false-positives.
- *Applications
-
- Government agencies – fraud, identity theft
- Security system companies
- Internet service providers
- IT companies
- Tracking software companies
- *Principal Investigator
-
Name: Michalis Faloutsos
Department:
Name: Huy Hang
Department:
Name: Guowu Xie
Department:
- Country/Region
- USA
