Grants - AWARD SUMMARY


UNIVERSITY OF CALIFORNIA, SANTA BARBARA


This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). Recent years have witnessed a dramatic change in the goals and modus operandi of malicious hackers. In particular, hackers have realized the potential monetary gains associated with Internet fraud. As a result, there has been an integration of sophisticated computer attacks with well-established fraud mechanisms devised by organized crime, which, in turn, created a vibrant underground economy. This project will develop novel techniques and tools to analyze and understand the underground economy, with the ultimate goal of obtaining a comprehensive picture of the criminal process. More precisely, the underground economy will be analyzed and modeled from three different vantage points: First, the project will identify the actors participating in the underground economy and models their different roles. Second, the project will analyze the processes and interactions between different criminal actors. Third, the project will examine the infrastructure that is used by criminals to carry out their operations. The results of this project are techniques and tools to gather information about the infrastructure of the underground economy, the involved actors, and their interactions. This information can then be used to model the underground economy, improving the understanding of its structure and processes. Such increased understanding can be leveraged to create new techniques and processes for disrupting underground activities. As a result, the broader impact of the research project has the potential to reduce the amount and severity of crime and fraud performed on the Internet, benefiting the community at large. In addition, the tools and techniques will support cyber-crime law enforcement by enabling officers to identify malicious networks and ISPs to predict upcoming, significant attacks.

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AWARD OVERVIEW

AWARD OVERVIEW
Award Number 0905537 Funding Agency National Science Foundation
Total Award Amount $1,197,306 Project Location - City Santa Barbara
Award Date 09/03/2009 Project Location - State CA
Project Status More than 50% Completed Project Location - Zip 93106-2050
Jobs Reported 8.01 Congressional District 24
Project Location - Country US

Recipient Information (Grants)

Recipient Information (Grants)
Recipient Name UNIVERSITY OF CALIFORNIA, SANTA BARBARA
Recipient DUNS Number 094878394
Recipient Address 3227 CHEADLE HL
Recipient City SANTA BARBARA
Recipient State California
Recipient Zip 93106-0001
Recipient Congressional District 24
Recipient Country USA
Required to Report Top 5
Highly Compensated Officials
No

Projects and Jobs Information

Projects and Jobs Information
Project Title TC:Medium:Analyzing the Underground Economy
Project Status More than 50% Completed
Final Project Report Submitted No
Project Activities Description Crime Control & Prevention
Quarterly Activities/Project Description We started to work on a project that attempts to identify fake entries on reviewing sites such as Yelp and TripAdvisor by using anomaly detection to determine whether certain entries are likely fraudulent. We use a number of techniques that leverage spatial and temporal correlation. We are interested in differences between multiple reviewing sites for a specific business (spatial correlation). When reviews on one site deviate substantially from those on other sites, reviews are possibly fraudulent. We also check whether the reviews for a specific business over time change suddenly (temporal correlation). A sudden shift combined with a substantial increase in the number of reviews for a business is suspicious. We continued to work on a project that analyzes the robustness of DRM protection mechanisms in media streaming services. Often, video-on-demand services use a digital rights management system to prevent the user from duplicating videos because much of the economic model of video stream services relies on the fact that the videos cannot easily be saved to permanent storage and (illegally) shared with other customers. In our work, we introduced a general memory-based approach that circumvents the protections deployed by popular video-on-demand providers. We applied our approach to four different examples of streaming services: Amazon Instant Video, HULU, Spotify, and Netflix and we demonstrated that, by using our technique, it is possible to break DRM protection in a semi-automated way. This highlights the weakness of current DRM schemes to piracy. Of course, we also made suggestions to improve DRM schemes and contacted affected parties. A paper based on this research was (re)submitted to the Usenix Security Symposium.
Jobs Created 8.01
Description of Jobs Created Graduate Student Researchers, Specialists, Junior Specialist


Purchaser Information (Grants)

Purchaser Information
Contracting Office ID Not Reported
Contracting Office Name Not Available
Contracting Office Region Not Available
TAS Major Program 49-0101

Award Information

Award Information
Award Date 09/03/2009
Award Number 0905537
Order Number
Award Type Grants
Funding Agency ID 49
Funding Agency Name National Science Foundation
Funding Office Name Not Available
Awarding Agency ID 49
Awarding Agency Name National Science Foundation
Amount of Award $1,197,306
Funds Invoiced/Received $1,016,235
Expenditure Amount $1,024,588
Infrastructure Expenditure Amount $0
Infrastructure Purpose and Rationale Not Reported
Infrastructure Point of Contact Name Not Reported
Infrastructure Point of Contact Email Not Reported
Infrastructure Point of Contact Phone Not Reported
Infrastructure Point of Contact Address Not Reported
Infrastructure Point of Contact City Not Reported
Infrastructure Point of Contact State Not Reported
Infrastructure Point of Contact Zip Not Reported

Product or Service Information (Grants)

Product or Service Information
Primary Activity Code I02
Activity Description Crime Control & Prevention

Sub-Awards Information

Sub-Awards Information
Sub-awards to Organizations 0
Sub-award Amounts to Organizations $0
Sub-Awards to Individuals 0
Sub-Award Amounts to Individuals $0
Number of Sub-awards less than $25,000/award 0
Amount of Sub-awards less than $25,000/award $0
Number of payments to vendors greater than $25,000 0
Total Amount of payments to vendors greater than $25,000/award $0
Number of payments to vendors less than $25,000/award 94
Total Amount of payments to vendors less than $25,000/award $126,681







Project Location Detail

Location Information
Latitude, Longitude 34º 24' 41", -119º 50' 39"
Congressional District 24
Address 1 University of California-Santa Barbara
Address 2 Office of Research, Rm 3227 Cheadle Hall
City Santa Barbara
County Santa Barbara
State CA
Zip 93106-2050
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