Mooi Choo's Research

Disruption Tolerant Network (DTN) (DARPA funded Project): EDIFY

EDIFY - Disruption Tolerant Network (DTN) (DARPA funded Project)

Phase 2 (Aug 06 - May 2008)

Principal Investigator: Prof M. Chuah

Past Collaborators: Dr K. Chang (Telcordia)

Phase 1 (Oct, 2005-June 2006)

Collaborators: Prof B. Davison, Prof L. Cheng.

EDIFY project is supported by Darpa STO

For more information on EDIFY , click here

Conference/Journal Publications for EDIFY project

Assistive Technologies for Elderly and Disabled People

Sensor-Based Medical Information System (SBMIS) - funded by PITA

In this project, we intend to use data mining techniques to detect anomaly in medical sensor data stream and also to correlate vital signals from multiple sensor streams. We have designed an adaptive window-based scheme for detecting anomaly in ECG time series. Our initial results using the ECG dataset taken from the MIT-BH database indicate that our Adaptive Window-Based Discord Discovery (AWDD)scheme is quite promising. We are currently building and testing the integrated mote-based medical sensors that CodeBlue (Harvard) has designed. Once we have working sensors, we intend to collect data from various volunteers and apply our AWDD scheme to the collected data.

Networked Enabled Robotic Assistive Technology for Independent Living - joint project with Prof J. Spletzer

In this project, we intend to integrate RFID and robotic technology to create products that can enhance the quality of life of elderly.

A related project called Automated Asset Locating System will be funded by NSF CELDI program

Secure Information Retrieval for Extreme Networks (SIREN)

In this project, we intend to build a secure information retrieval system that works in challenging network environments. Our information retrieval scheme uses query/data replication to achieve higher query success rate. Replicated publications are spread to more friendly nodes to minimize information retrieval latency.

Related Project - A Million People Project at University of Cambridge

Adhoc/Sensor Network Technologies

Sensor Tracking System

Interdomain adhoc routing protocol

Security Design for Adhoc Networks

Endorse - DoS resilience for adhoc networks

SRED-VAN - Secure Robust Efficient Delivery for Vehicular Adhoc Networks

In this project, we design efficient delivery protocols for different vehicular applications e.g. delivering emergency medical information via roadside entities, traffic congestion monitoring. We also intend to explore security solutions for VANET.

Selected Publications

M. Chuah, F. Fu, "Performance Study of Robust Data Transfer Protocols for VANETs", CSE Technical Report, June, 2006.

Network-based Intrusion Detection

Network-based Worm Detection - Network worms are a growing threat to today's Internet-connected networks and hosts. Modern worms can spread very quickly and widely so automatic response is required to contain worm outbreaks. In our first piece of work, we propose a system that can automatically generate useful signatures that can be used by indrusion detection systems such as bro and snort to filter out or slow down the spread of the worm elsewhere in the network. Our system makes use of three sliding window techniques coupled with the Rabin fingerprint digest algorithm. A technical report (LU-CSE-05-025) summarizing the results has been published. This work was also presented at an NSF-funded workshop on network security in Aug 2005. The results also appear in an invited CISS 2006 paper. We also work on network intrusion detection system with semantic-aware capability. A conference paper based on this work has been accepted at 2nd International workshop on Security in Systems and Networks (SSN2006).

Anomaly Detection and Mitigation for Interdomain Routing Exchanges (ADMIRE)

In this project, we propose a new anomaly detection and mitigation framework for interdomain routing exchanges. Our work will include (a) using data mining techniques to distinguish different BGP anomaly events - joint work with Prof Pottenger, (b) combined path change analysis and proactive probing for detecting BGP selective dropping attacks.

Selected Publications

M. Ganiz, W. Pottenger, S. Kanitkar, M. Chuah, "Detection of Interdomain Routing Anomalies Based on Higher-Order Path Analysis", CSE Tech Report, LU-CSE-06-008, May, 2006

M. Ganiz, W. Pottenger, S. Kanitkar, M. Chuah, "Detection of Interdomain Routing Anomalies Based on Higher-Order Path Analysis", to appear as short paper at ICDM 2006

M. Chuah, K. Huang, "Detecting BGP Selective Dropping Attacks", to appear at IEEE LCN Workshop on Network Security, 2006

Completed Projects:

DDOS Migitation Techniques

PacketScore Architecture	Sample CLP Score	Sample Packetscore Results

PacketScore: Joint work with Y. Kim, J. Chao, W. Lau.

Invited PacketScore Presentations in 2003: Polytechnic University Poly Podium Lecture Seminar, and Princeton University's EE Department.

Selected Publications

Y. Kim, W. Lau, M. Chuah, J. Chao, "PacketScore: A statistical-based overload control against DDoS attacks", Proceedings of IEEE Infocom, March, 2004

Y. Kim, W. Lau, M. Chuah, J. Chao, "Packetscore: A statistical-based packet filtering scheme against DDoS attacks", IEEE Transaction on Dependable and Secure Computing, 2006.

M. Chuah, W. Ma, V. Goel, "Performance Evaluation of Distributed Packet Score Scheme", CSE Technical Report, June, 2005.

Previous Research:

Traffic Management in 3G Networks

Mobility Management in Wireless Networks

Contact information:

Last modified: Wed May 24 12:45:21 Eastern Standard Time 2004