Read project summaries for my current projects, my former projects, and all other CMC projects.
See a list of all my papers, or Technical Reports only.
Since the sensor data may be gathered through a patient's mobile device (such as a mobile phone), a wireless network, and the Internet, there are many opportunities for the sensor data to be tampered or otherwise inaccurate. How can we assess confidence in sensor data? How can we present that level of confidence, in context, with the sensor data? This project will develop methods to assess confidence in medical sensor data.
People: Janani Sriram, Minho Shin.
Funded by the Intel University Research Council.
As a community resource, we are building an archive with the capacity to store wireless trace data from many contributing locations, with the staff to develop better tools for collecting, anonymizing, and analyzing the data. We work with community leaders to ensure that the archive meets the needs of the research community, work with the other leading centers that develop network tracing tools and metadata, and work with research organizations and corporations to ensure continuing support for the archive.People: Tristan Henderson, Jihwang Yeo, Jack Zhang.
Papers: overview yeo:crawdad-ccr, 2005 workshop kotz:crawdad-workshop05, 2006 workshop yeo:crawdad-2006, 2007 workshop yeo:crawdad-2007
Funded by the National Science Foundation (CISE) through their CRI program, with gifts from Aruba Networks and Intel Corporation.
This nation needs research that addresses fundamental challenges faced in the design, deployment, evaluation and validation of security solutions in a large, complex, heterogeneous operational network, and research that begins to address security and privacy challenges of the Internet of tomorrow - one built on wireless networks and populated with a wide variety of Internet-enabled mobile devices. We are developing the Dartmouth Internet Security Testbed (DIST), a large-scale deployment designed to support these research challenges. The Institute for Security Technology Studies (ISTS), in collaboration with Dartmouth's Peter Kiewit Computing Services, will deploy this integrated testbed comprising a wireless-network measurement infrastructure and a suite of Wi-Fi capable mobile devices.People: George Cybenko (and his group), Punch Taylor, Bennet Vance, and (indirectly) MAP people below.
Funded by the Department of Homeland Security (NCSD) through ISTS.
With the rise of Voice over wireless LAN (VoWLAN), any complete WiFi security solution must address denial of service attacks, such as kicking off other clients, consuming excessive bandwidth, or spoofing access points, to the detriment of legitimate clients. Even authorized clients may be able to sufficiently disrupt service quality to make the network ineffective for legitimate clients. Our approach provides a new foundation for wireless network security, able to dynamically measure, analyze and protect a WiFi network against existing and novel threats, including rogue clients and access points, with a focus on VoWLAN use cases. Our goal is to support thousands of APs and clients, quickly recognize most new attacks, and generate few false alarms.Current people: Guanling Chen, Udayan Deshpande, Michael Locasto, Yong Sheng, Keren Tan, Bennet Vance, Joshua Wright, Bo Yan.
Papers: overview sheng:map, wireless sampling [deshpande:sampling, deshpande:coordinated, and deshpande:refocusing] and spoof detection [sheng:spoofing].
Funded by the Department of Homeland Security (HSARPA).
Sensor networks will provide a foundation to protect and monitor our national infrastructure, including economically important businesses with global reach (e.g., stock markets), critical transport and industrial facilities, the enterprise, and the border. These tiny, low-cost wireless devices embed on-board sensing, are fully programmable, and can spontaneously form large sensor webs with thousands of distributed sensor devices. In this project, we will study, analyze, propose, deploy, and evaluate MetroSense, a radically different scalable secure sensor architecture and system capable of reliable real-time monitoring and data fusion for large-scale critical infrastructure, resources, and assets. MetroSense opportunistically leverages mobile sensors when available to deal with sparse coverage and communications when sensing. We plan to develop a campus-area sensing architecture based on three integrated components (sensing and communications, sensor security, and sensor fusion) and deploy the system incrementally across campus with the goal of using static and mobile sensors for reliable monitoring and data fusion of campus plant, spaces, and people flow. Results from this project will serve as a foundation for building secure sensor networks capable of monitoring large-scale critical infrastructure.Current people (in my subgroup): Cory Cornelius, Apu Kapadia, Dan Peebles, Minho Shin, Janani Sriram, Nikos Triandopoulos, and Patrick Tsang.
Papers: sensor-network infrastructure privacy [anthony:pervasive, kapadia:anonysense, cornelius:mobisys08, kapadia:walls, johnson:metrosec-challenges-tr], delay-tolerant networks [song:dtn], handoff prediction (see below), and sensor-network infrastructure (see Metrosense web page); others are in preparation.
Funded by the Department of Commerce (NIST) and the Department of Homeland Security (DHS-NCSD) through ISTS.
Wireless mesh networks can be used to provide communication infrastructure for emergency response operations in areas with limited or damaged infrastructure. We imagine the formation of a wireless mesh of heterogeneous devices such as transceivers on ambulances, fire trucks and police cars. This mesh would support a network of Personal Digital Assistants (PDAs) on first responders and an ad hoc network of rapidly deployed micro-sensor devices. Monitoring of such a mesh network will be crucial to the success of first responder operations. Standard techniques for monitoring wired networks or even wireless infrastructure networks are unsuitable for a wireless mesh network with unpredictable links and resource-constrained devices. We developed a wireless-mesh monitoring system, called Mesh-Mon, that can detect and identify (and sometimes repair) problems and aid system administrators in making proactive as well as reactive management decisions.People: Soumendra Nanda.
Papers: Overview [nanda:jmeshmon], network topology analysis [nanda:lbc-tr, nanda:lbc, nanda:llbc]
Funded by the Department of Justice (BJA) through ISTS.
We have been monitoring the Dartmouth campus-wide wireless network since it was installed in 2001, and have used our data for several different research projects. Much of the data is available through CRAWDAD (above).
People over the years: Ilya Abyzov, Denise Anthony, Udayan Deshpande, Kobby Essien, Jeff Fielding, Ravi Jain, Xiaoning He, Tristan Henderson, Minkyong Kim, Songkuk Kim, Ulas Kozat, Libo Song, Pablo Stern. Papers: characterizing usage patterns [kotz:jcampus, henderson:voice, blinn:hotspot, henderson:esm], predicting wireless handoffs [song:reserv, song:jpredict, song:predict], analyzing mobility [henderson:voice, kim:jclassify, kim:hotspots, kim:mobility, kim:wardriving], and describing our methodology [henderson:measuring].
Funded by Cisco Systems, Dartmouth College, DoCoMo USA Labs, and Intel Corporation, and somewhat by Department of Justice (BJA) through ISTS.
Papers:
privacy [anthony:pervasive,
kapadia:walls],
delay-tolerant networks [song:dtn]
and location prediction (see above);
others are in preparation.
People: Denise Anthony, Andrew Campbell, Apu Kapadia, Libo Song, Dan Peebles, Cory Cornelius, Ron Peterson, Emiluzzo Milano, Nic Lane.
Funded by the Department of Justice (BJA) through
ISTS.
People: Guanling Chen, Adrian Hartline, Ming Li, Chris Masone, Arun Mathias, Kazuhiro Minami, Cal Newport, Jue Wang, Abe White, Lin Zhong.
Papers: See Solar web page.
Funding: DARPA, DoD MURI, Microsoft Research,
Cisco Systems USENIX, and DHS Office for Domestic Preparedness.
For details see the Solar web page.
People: Jay Aslam, Sergey Bratus, Marco Cremonini,
Kevin Mitcham, Ron Peterson, Daniela Rus, Brett Tofel, and
students Kyle Smith, Virgil Pavlu, and Wei Zhang.
Papers:
[aslam:toolkit,
aslam:toolkit-tr,
aslam:kerf-WIP,
aslam:kerf-news,
aslam:position], and
more.
Funding: DHS Science and Technology Directorate
[details].
People: Professors George Cybenko, Bob Gray, and
Daniela Rus, and
many others.
Papers:
dozens;
my MA2002 Keynote.
Funding: AFoSR, AFRL, ONR, DoD MURI, DARPA
[details].
People: Jon Howell.
Papers:
[howell:thesis,
howell:end-to-end,
howell:spki,
howell:restricted]
Funding: USENIX Association.