Imperial College London

Professor Emil Lupu

Faculty of EngineeringDepartment of Computing

Professor of Computer Systems



e.c.lupu Website




564Huxley BuildingSouth Kensington Campus






BibTex format

author = {Illiano, V and Lupu, E},
doi = {10.1109/TNSM.2015.2448656},
journal = {IEEE Transactions on Network and Service Management},
pages = {496--510},
title = {Detecting Malicious Data Injections in Event Detection Wireless Sensor Networks},
url = {},
volume = {12},
year = {2015}

RIS format (EndNote, RefMan)

AB - Wireless sensor networks (WSNs) are vulnerable and can be maliciously compromised, either physically or remotely, with potentially devastating effects. When sensor networks are used to detect the occurrence of events such as fires, intruders, or heart attacks, malicious data can be injected to create fake events, and thus trigger an undesired response, or to mask the occurrence of actual events. We propose a novel algorithm to identify malicious data injections and build measurement estimates that are resistant to several compromised sensors even when they collude in the attack. We also propose a methodology to apply this algorithm in different application contexts and evaluate its results on three different datasets drawn from distinct WSN deployments. This leads us to identify different tradeoffs in the design of such algorithms and how they are influenced by the application context.
AU - Illiano,V
AU - Lupu,E
DO - 10.1109/TNSM.2015.2448656
EP - 510
PY - 2015///
SN - 1932-4537
SP - 496
TI - Detecting Malicious Data Injections in Event Detection Wireless Sensor Networks
T2 - IEEE Transactions on Network and Service Management
UR -
UR -
VL - 12
ER -