NPC - 1 An Intrusion Detection System for Wireless Mesh Networks
CSE Project - Dr. Salil Kanhere (salilk@cse.unsw.edu.au)
Wireless Mesh Networks (WMN) are emerging as a promising alternative technology for last-mile broadband Internet. In WMNs, each node operates not only as a host but also as a router; user packets are forwarded to and from an Internet-connected gateway in a multi-hop fashion. Typical applications include disaster recovery, community networks, etc. However, the true potential of a WMN cannot be exploited without developing adequate security solutions. The aim of this project is to implement a novel intrusion detection system (IDS) for WMN, which was developed in-house at CSE. The implementation will be developed using Qualnet, a popular network simulator and will primarily involve the use of C/C++. This project will present an opportunity for the student to interact with academics, researchers and students working in the Networks Research Lab (NRL) at UNSW.
The Proposed Intrusion Detection System employs novel techniques including game theory and high degree polynomials. This Project will enable us to evaluate the performance of thE IDS and determine its effectiveness in detecting attacks.
An expected outcome of the research includes a working implementation of the IDS in Qualnet and a thorough evaluation of its performance in the face on network attacks.
For further information, please contact the supervisors or consider the following:
http://www.cse.unsw.edu.au/~salilk
http://www.cse.unsw.edu.au/~nrl
NPC - 2 Performance Evaluation of an on-board mobile network prototype
CSE Project - Dr. Salil Kanhere (salilk@cse.unsw.edu.au) and Associate Professor Mahbub Hassan (mahbub@cse.unsw.edu.au)
Project OCEAN (On-board Communication, Entertainment and informatioN) was initiated at CSE in 2004 to advance the fundamental understanding of efficient and effective information and service access for on-board mobile users. The OCEAN team is currently developing a prototype implementation of an on-board network on a van. This project seeks to carry out a thorough evaluation of the effect of environmental factors such as location, time of day, etc on the performance characteristics of the on-board prototype. This will involve developing automated scripts for collecting a large sample set of the evaluation parameters and conducting a large set of experiments by driving the prototype along Sydney roads.
The OCEAN prototype is the first of its kind in Australia. This project provides a unique opportunity to conduct large scale testing of this system. An expected outcome of the research includes a detailed analysis of the effects on environmental factors such as location, time of day, etc on the performance (throughput, delay, signal strength) of the on-board mobile network.
The student should have a valid Australian driver's licence.
For further information, please contact the supervisors or consider the following:
http://www.cse.unsw.edu.au/~ocean
http://www.cse.unsw.edu.au/~NRL
NPC - 3 Designing attack/fault scenarios for wireless mesh networks using NS-2
NICTA Project - Dr Zainab Zaidi (Zainab.Zaidi@nicta.com.au)
Students are invited to participate in the exciting and innovative 'Smart Transport and Roads' (STaR) project of NICTA. Think about attacks on a wireless mesh networks, be creative and code them in network simulator NS-2. We want to ascertain that our network is robust against the failures. Student is also required to create realistic situations of failures due to hardware\software malfunctioning. The scenarios should be of modular structure which could be plugged in the simulations easily.
Required skills include C\C++ programming; knowledge of NS-2 is preferred. The scenarios will be used to evaluate the performance of anomaly detection algorithms developed in STaR. An expected outcome of the research is NS-2 implementation of attack scenarios
For further information, please contact the supervisors or consider:
http://www.nicta.com.au/director/research/projects/ s_to_z/star/starcomm.cfm
Lakhina, A., Crovella, M., and Diot, C. 2004. Characterization of network-wide anomalies in traffic flows. In Proc. of ACM SIGCOMM IMC '04, pg. 201-206.
NPC - 4 Evaluate the performance of the sub-space method for anomaly detection proposed for wired networks under wireless mesh networking scenarios
NICTA Project - Dr Zainab Zaidi (Zainab.Zaidi@nicta.com.au)
Students are invited to participate in the exciting and innovative 'Smart Transport and Roads' (STaR) project of NICTA. This summer project will involve the implementation of the sup-space method for anomaly detection in wireless mesh networking scenarios. The algorithm is originally proposed for wired networks and might present some limitations when used for wireless meshes. The major constraint limiting the performance capability is communication overhead. The outcomes of this project will be used in anomaly detection algorithms of STaR.
Required skills include C\C++ programming; knowledge of NS-2 is preferred. An expected outcome of the research is NS-2 implementation of the algorithm.
For further information, please contact the supervisors or consider:
http://www.nicta.com.au/director/research/projects/ s_to_z/star/starcomm.cfm
Lakhina, A., Crovella, M., and Diot, C. 2004. Characterization of network-wide anomalies in traffic flows. In Proc. of ACM SIGCOMM IMC '04, pg. 201-206.
Lakhina, A., Crovella, M., and Diot, C. 2005. Mining anomalies using traffic feature distributions. In Proc. of SIGCOMM '05, pg. 217-228.
NPC - 5 Implementation and evaluation of Routing Consistency Check algorithm in NS-2
NICTA Project - Dr Zainab Zaidi (Zainab.Zaidi@nicta.com.au)
Students are invited to participate in the exciting and innovative 'Smart Transport and Roads' (STaR) project of NICTA. We have developed algorithms, based on the model of network traffic, to detect routing inconsistencies. This effectiveness of the algorithm should be evaluated using NS-2 simulations for different types of routing inconsistencies. The project will involve creating interesting and realistic scenarios of misrouting and checking if the algorithm is successful or not in detecting them. The outcomes of this project will be used in anomaly detection algorithms of STaR.
Required skills include C\C++ programming; knowledge of NS-2 is preferred. An expected outcome of the research is NS-2 implementation of the algorithm.
For further information, please contact the supervisors or consider http://www.nicta.com.au/director/research/projects/ s_to_z/star/starcomm.cfm
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