Imperial College London
Portrait Picture

Professor Emil Lupu

Faculty of Engineering, Department of Computing

Professor of Computer Systems
 
 
 
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Contact

 

e.c.lupu Website

 
 
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Location

 

564Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Illiano:2016:10.1109/TDSC.2016.2614505,
author = {Illiano, V and Muñoz-Gonzàlez, L and Lupu, E},
doi = {10.1109/TDSC.2016.2614505},
journal = {IEEE Transactions on Dependable and Secure Computing},
pages = {279--293},
title = {Don't fool me!: Detection, Characterisation and Diagnosis of Spoofed and Masked Events in Wireless Sensor Networks},
url = {http://dx.doi.org/10.1109/TDSC.2016.2614505},
volume = {14},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Wireless Sensor Networks carry a high risk of being compromised, as their deployments are often unattended, physicallyaccessible and the wireless medium is difficult to secure. Malicious data injections take place when the sensed measurements aremaliciously altered to trigger wrong and potentially dangerous responses. When many sensors are compromised, they can collude witheach other to alter the measurements making such changes difficult to detect. Distinguishing between genuine and maliciousmeasurements is even more difficult when significant variations may be introduced because of events, especially if more events occursimultaneously. We propose a novel methodology based on wavelet transform to detect malicious data injections, to characterise theresponsible sensors, and to distinguish malicious interference from faulty behaviours. The results, both with simulated and realmeasurements, show that our approach is able to counteract sophisticated attacks, achieving a significant improvement overstate-of-the-art approaches.
AU  - Illiano,V
AU  - Muñoz-Gonzàlez,L
AU  - Lupu,E
DO  - 10.1109/TDSC.2016.2614505
EP  - 293
PY  - 2016///
SN  - 1545-5971
SP  - 279
TI  - Don't fool me!: Detection, Characterisation and Diagnosis of Spoofed and Masked Events in Wireless Sensor Networks
T2  - IEEE Transactions on Dependable and Secure Computing
UR  - http://dx.doi.org/10.1109/TDSC.2016.2614505
UR  - http://hdl.handle.net/10044/1/40329
VL  - 14
ER  -
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