Statistical en-route filtering of injected false data in sensor networks Export

@inproceedings{infocom04-ye-Statistical, abstract = {In a large-scale sensor network individual sensors are subject to security compromises. A compromised node can inject into the network large quantities of bogus sensing reports which, if undetected, would be forwarded to the data collection point (i.e. the sink). Such attacks by compromised sensors can cause not only false alarms but also the depletion of the finite amount of energy in a battery powered network. We present a statistical en-route filtering (SEF) mechanism that can detect and drop such false reports. SEF requires that each sensing report be validated by multiple keyed message authentication codes (MACs), each generated by a node that detects the same event. As the report is forwarded, each node along the way verifies the correctness of the MACs probabilistically and drops those with invalid MACs at earliest points. The sink further filters out remaining false reports that escape the en-route filtering. SEF exploits the network scale to determine the truthfulness of each report through collective decision-making by multiple detecting nodes and collective false-report-detection by multiple forwarding nodes. Our analysis and simulations show that, with an overhead of 14 bytes per report, SEF is able to drop 80/spl sim/90\% injected false reports by a compromised node within 10 forwarding hops, and reduce energy consumption by 50\% or more in many cases.}, author = {Ye, Fan and Luo, Haiyun and Lu, Songwu and Zhang, Lixia}, citeulike-article-id = {524008}, citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1354666}, journal = {INFOCOM 2004. Twenty-third AnnualJoint Conference of the IEEE Computer and Communications Societies}, keywords = {filter, sensor}, pages = {2446--2457 vol.4}, posted-at = {2006-02-28 05:03:09}, priority = {2}, title = {Statistical en-route filtering of injected false data in sensor networks}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1354666}, volume = {4}, year = {2004} }

TY - CONF ID - infocom04-ye-Statistical L3 - citeulike-article-id:524008 N2 - In a large-scale sensor network individual sensors are subject to security compromises. A compromised node can inject into the network large quantities of bogus sensing reports which, if undetected, would be forwarded to the data collection point (i.e. the sink). Such attacks by compromised sensors can cause not only false alarms but also the depletion of the finite amount of energy in a battery powered network. We present a statistical en-route filtering (SEF) mechanism that can detect and drop such false reports. SEF requires that each sensing report be validated by multiple keyed message authentication codes (MACs), each generated by a node that detects the same event. As the report is forwarded, each node along the way verifies the correctness of the MACs probabilistically and drops those with invalid MACs at earliest points. The sink further filters out remaining false reports that escape the en-route filtering. SEF exploits the network scale to determine the truthfulness of each report through collective decision-making by multiple detecting nodes and collective false-report-detection by multiple forwarding nodes. Our analysis and simulations show that, with an overhead of 14 bytes per report, SEF is able to drop 80/spl sim/90% injected false reports by a compromised node within 10 forwarding hops, and reduce energy consumption by 50% or more in many cases. JF - INFOCOM 2004. Twenty-third AnnualJoint Conference of the IEEE Computer and Communications Societies EP - 2457 vol.4 TI - Statistical en-route filtering of injected false data in sensor networks VL - 4 SP - 2446 KW - filter KW - sensor AU - Ye, Fan AU - Luo, Haiyun AU - Lu, Songwu AU - Zhang, Lixia PY - 2004/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1354666 ER -