Suhas Mathur


Suhas

Suhas

On the job market


I am currently on the job market (starting Jan 2010), looking for positions at industrial research labs:
Resume | CV | Research Statement


About me

I am a graduate student at the Wireless Information Networking Laboratory at Rutgers University. My research interests are broadly in mobile systems, wireless networks and the security & privacy challeneges arising out of emerging mobile wireless systems. In 2010, my work on mobile sensing was featured in the MIT Technology Review. I spent the summer of 2006 as a systems engineering intern working on cognitive radio networking in the corporate R&D division of Qualcomm, San Diego and the summer of 2008 as an intern at the Chief Technology Office of InterDigial Inc. I received the prize for best research presentation at the Cyber Security Awareness Week 2008, at NYU. In 2009 I was a nominee for the Louis Bevier Rutgers fellowship. Before coming to WINLAB, I spent 4 wonderful years at IIT Madras.

I am passionate about the use of technology in addressing real-world and societal problems. Before coming to Jersey, I lived in Mauritius, Chennai, Nairobi (Kenya), Bangalore, Hyderabad, Mumbai, Lagos (Nigeria), Mirzapur and Kanpur. I blog (occasionally) at Alice, Bob & Eve.


My Research



Security & Privacy in Wireless Networks

The repeated failure of wireless security protocols is due in large part to the fact that security designs in wireless systems have largely been adaptations of the ones designed for wired networks, and in effect, ignore the wireless aspect completely. My work explores how certain features particular to wireless links can be exploited to turn around the security problems in mobile wireless systems on their head. Fingerprints in the Ether (FitE) is a suite of algorithms and supporting protocols that practically exploit, to the benefit of security, some of the very features of wireless networks that make secure communication on them challenging. The FitE framework has been evaluated using 802.11a and the USRP/GNUradio software radio platform.

CLIQUE: Building Strongly Secure Associations between Wireless Devices in Proximity using Public Sources of Randomness
Suhas Mathur, Rob Miller, W. Trappe, Narayan Mandayam and Alex Varshavsky
Under submission at USENIX Security Symposium 2010.

Radio-telepathy: Extracting a Cryptographic Key from an Un-authentiated Wireless Channel
Suhas Mathur, Wade Trappe, Narayan Mandayam, Chunxuan Ye and Alex Reznik
The 14th Annual International Conference on Mobile Computing and Networking, (ACM MobiCom 2008).

Information-theoretic Key Generation from Wireless Channels
Chunxuan Ye, Suhas Mathur, A. Reznik, W. Trappe and Narayan Mandayam,
Accepted for publication at Transactions on Information Forensics and Security (June 2010).

Exploiting the Physical Layer for Enhanced Security
Suhas Mathur, A. Reznik, Rajat Mukherjee, Akbar Rahman, Yogendra Shah, W. Trappe and Narayan Mandayam
Submitted to IEEE Wireless Communications Magazine.

Secret Key Extraction from Level Crossings over Unauthenticated Wireless Channels
Suhas Mathur, W. Trappe, Narayan Mandayam, Chunxuan Ye, and A. Reznik
Book Chapter, Physical Layer Security, Springer Verlag 2009.

Total Wireless Security: Moving Closer to the Goal with Low-Layer Techniques
Alex Reznik, Suhas Mathur, Yogendra Shah, Steve Goldberg, Wade Trappe and Narayan Mandayam
Wireless World Research Forum, 2008



Mobile Sensing

Real-time information on the availability of street-parking spaces in urban areas is likely to greatly lower traffic congestion, but is difficult to obtain without incurring huge costs. ParkNet is a experimental vehicular sensor network deployed on vehicles belonging to volunteering graduate students. The system uses sensor data to opportunistically gather and disseminate information about available street parking spaces using a city-wide mobile sensing network (say, using taxicabs as sensor vehicles). ParkNet vehicles employ a simlpe GPS receiver and a low cost ultrasonic rangefinder to accurately detect parked cars. The data is aggregated at a central server, which builds a real-time map of the city's parking availability. The cost/benefit ratio of the system scales much better than a stationary sensor network and can be immensely useful to mobile users looking for parking, city planners, and parking enforcement authorities.

ParkNet: Drive-by Sensing of Road-side Parking Statistics
Suhas Mathur, Tong Jin, Nikhil Kasturirangan, Janani Chandrashekharan, Wenzhi Xue, Marco Gruteser and Wade Trappe
Under submission at ACM Mobisys 2010.

ParkNet: Harvesting Real-Time Vehicular Parking Information Using a Mobile Sensor Network
Suhas Mathur, Sanjit Kaul, Marco Gruteser and Wade Trappe
The S3 Workshop at The International Symposium on Mobile Ad Hoc Networking and Computing (ACM MobiHoc 2009)



Automated Diagnosis of Interference Problems with Heterogenous Radios

While most studies on fault-diagnosis in wireless networks have focussed purely on 802.11 based WLANs, SpectrumMRI explores the nature and extent of interference problems between the multiple incompatible wireless standards that operate in the same 2.4 GHz unlicensed spectrum, to design a classifier for the automated diagnosis of interference-related problems. SpectrumMRI uses sensor nodes with multiple radio interfaces (802.11, Bluetooth, etc.) in conjunction with a software-radio based spectrum sensor to detect and classify interference problems.

Spectrum MRI: Towards Automated Diagnosis of Multi-Radio Interference in the Unlicensed Band
Akash Baid, Suhas Mathur, Ivan Seskar, Tripti Singh, Shweta Jain, Dipankar Raychaudhuri, Sanjoy Paul, Amitabha Das
Under Submission



Cooperation vs. Competition in Adaptive Wireless Networks

The Chameleon project aims to study the efficiency and stability of cooperation betweem adaptive wireless devices that are capable of making their own decisions about which other devices to cooperate with. The Chameleon framework addresses the following question: Under what conditions does cooperation between power constrained wireless devices emerge as a stable and mutually beneficial outcome? We find that the quality of users' links and their power budgets plays an important role in determining whether a group of users will be able to cooperate in a stable manner. Our work provides insights about when systems that depend upon user cooperation are likely to work and when cooperation is likely to fail.

Coalitions in Cooperative Wireless Networks
Suhas Mathur, Lalitha Sankar and Narayan B. Mandayam
IEEE Journal on Selected Areas in Communications, Special issue on Game Theory in Communication Systems, 2008.

Coalitional Games in Cooperative Radio Networks
Suhas Mathur, Lalitha Sankar and Narayan B. Mandayam
Asilomar Conference on Signals, Systems & Computers, Nov 2006

Coalitional Games in Gaussian Interference Channels
Suhas Mathur, Lalitha Sankar and Narayan B. Mandayam
International Symposium on Information Theory (ISIT), Seattle, WA, June 2006.

Coalitional Games in Receiver Cooperation for Spectrum Sharing
Suhas Mathur, Lalitha Sankar and Narayan B. Mandayam
Conference on Information Systems and Sciences and Systems (CISS), Princeton, NJ, March 2006.



Mobility Emulation on the ORBIT Indoor Wireless Testbed

This project aimed to study whether mobile wireless devices can be effectivley emulated on a stationary wireless testbed for experimental research. We propse and evaluate a emulation methods that involves spatial switching between nodes in WINLAB's in-house indoor wireless testbed grid, ORBIT. We compared the effect of switching between spatially separated nodes in ORBIT with a moving robot carrying a wireless node.

Mobility Emulation Through Spatial Switching on a Wireless Grid
Kishore Ramachandran, Sanjit Kaul, Suhas Mathur, Marco Gruteser, and Ivan Seskar
Demo at ACM MobiSys 2005.

Towards Large-Scale Mobile Network Emulation Through Spatial Switching on a Wireless Grid
Kishore Ramachandran, Sanjit Kaul, Suhas Mathur, Marco Gruteser, and Ivan Seskar
Workshop on Experimental Approaches to Wireless Network Design and Analysis (E-WIND), ACM SIGCOMM 2005.



My collaborators and co-authors:

AT&T Labs: Alexander Varshavsky
NEC Laboratories America: Kishore Ramachandran
Infosys Research India: Sanjoy Paul, Amitabha Das
Princeton University: Lalitha Sankar
Interdigital: Alex Reznik, Yogendra Shah, Chunxuan Ye, Akbar Rahman, Rajat Mukherjee, Steve Goldberg
WINLAB: Dipankar Raychaudhuri, Marco Gruteser, Ivan Seskar, Wade Trappe, Narayan Mandayam, Sanjit Kaul, Akash Baid, Shweta Jain, Tripti Singh, Tong Jin, Nikhil Kasturirangan, Janani Chandrashekharan, Wenzhi Xue