@conference { ISI:000390683500018,
	title = {Intrusion Detection System for the Detection of Blackhole Attacks in a Smart Grid},
	booktitle = {2016 4TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL AND BUSINESS INTELLIGENCE (ISCBI)},
	year = {2016},
	note = {4th International Symposium on Computational and Business Intelligence (ISCBI), Olten, SWITZERLAND, SEP 05-07, 2016},
	pages = {108-111},
	publisher = {IEEE; INNS India Reg Chapter; IEEE Computat Intelligence Soc; Fachhochschule Nordwestschweiz},
	organization = {IEEE; INNS India Reg Chapter; IEEE Computat Intelligence Soc; Fachhochschule Nordwestschweiz},
	abstract = {Smart grid is the new electrical grid that will change forever the way we use energy, thanks to the deployment of sensing and communication technologies. It allows consumers to become more aware and in control of their energy consumption. However, the pervasive communication infrastructure deployed inside the smart grid makes it a target to different types of attacks, which is why security is an essential element in building a robust grid. In this article we develop an Intrusion Detection System (IDS) that uses data mining techniques for the detection of a Denial of service (DOS) attack in a smart grid, the so called blackhole attack.},
	isbn = {978-1-5090-3488-8},
	author = {Boumkheld, Nadia and Ghogho, Mounir and El Koutbi, Mohammed}
}
