ORBi: Jung Tobias - SPRT for SPIT: Using the Sequential Probability Ratio Test for Spam in VoIP Prevention

Reference : SPRT for SPIT: Using the Sequential Probability Ratio Test for Spam in VoIP Prevention


	Document type :	Scientific congresses and symposiums : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/2268/115522

Title :	SPRT for SPIT: Using the Sequential Probability Ratio Test for Spam in VoIP Prevention
Language :	English
Author, co-author :	Jung, Tobias [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Réseaux informatiques >]
	Martin, Sylvain [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Réseaux informatiques >]
	Ernst, Damien [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids >]
	Leduc, Guy [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Réseaux informatiques >]
Publication date :	2012
Main document title :	Proc. of 6th International Conference on Autonomous Infrastructure, Management and Security
Publisher :	Springer Berlin / Heidelberg
On invitation :	No
Audience :	International
ISBN :	978-3-642-30632-7
Event name :	6th International Conference on Autonomous Infrastructure, Management and Security (AIMS 2012)
Event date :	from 04-06-2012 to 08-06-2012
Event place (city) :	Luxembourg
Event country :	Luxembourg
Keywords :	[en] Spam ; VoIP ; Sequential probability ratio test
Abstract :	[en] This paper presents the first formal framework for identifying and filtering SPIT calls (SPam in Internet Telephony) in an outbound scenario with provable optimal performance. In so doing, our work deviates from related earlier work where this problem is only addressed by ad-hoc solutions. Our goal is to rigorously formalize the problem in terms of mathematical decision theory, find the optimal solution to the problem, and derive concrete bounds for its expected loss (number of mistakes the SPIT filter will make in the worst case). This goal is achieved by considering a scenario amenable to theoretical analysis, namely SPIT detection in an outbound scenario with pure sources. Our methodology is to first define the cost of making an error, apply Wald’s sequential probability ratio test, and then determine analytically error probabilities such that the resulting expected loss is minimized. The benefits of our approach are: (1) the method is optimal (in a sense defined in the paper); (2) the method does not rely on manual tuning and tweaking of parameters but is completely self-contained and mathematically justified; (3) the method is computationally simple and scalable. These are desirable features that would make our method a component of choice in larger, autonomic frameworks.
Target :	Researchers
Permalink :	http://hdl.handle.net/2268/115522
DOI :	10.1007/978-3-642-30633-4
Framework Programme / European Project :	FP7 ; 224619 - RESUMENET - Resilience and Survivability for future networking: framework, mechanisms, and experimental evaluation

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Open access	aims-slides.pdf	presentation slides.	-	705.43 kB	View/Open

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