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 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 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 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 |
| 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 |
|
 |