Detecting SPIT Calls by Checking Human Communication Patterns

Quittek, Juergen; Niccolini, Saverio; Tartarelli, S.; Stiemerling, Martin; Brunner, Marcus; Ewald, Thilo

doi:10.1109/icc.2007.329

Cited by 76 publications

(49 citation statements)

References 3 publications

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“…Quittek et al [46] propose the use of hidden Turing tests to identify SPIT callers. As a concrete approach, they leverage the interaction model in human conversation, which minimizes the amount of simultaneous ("double") talk by the participants, and the fact that there is a short pause at the beginning of an answered call, followed by a statement by the callee that initiates the conversation.…”

Section: D) Captchas and Puzzles (4 Items)mentioning

confidence: 99%

A Comprehensive Survey of Voice over IP Security Research

Keromytis

2012

IEEE Commun. Surv. Tutorials

116

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Abstract-We present a comprehensive survey of Voice over IP security academic research, using a set of 245 publications forming a closed cross-citation set. We classify these papers according to an extended version of the VoIP Security Alliance (VoIPSA) Threat Taxonomy. Our goal is to provide a roadmap for researchers seeking to understand existing capabilities and to identify gaps in addressing the numerous threats and vulnerabilities present in VoIP systems. We discuss the implications of our findings with respect to vulnerabilities reported in a variety of VoIP products.We identify two specific problem areas (denial of service, and service abuse) as requiring significant more attention from the research community. We also find that the overwhelming majority of the surveyed work takes a black box view of VoIP systems that avoids examining their internal structure and implementation. Such an approach may miss the mark in terms of addressing the main sources of vulnerabilities, i.e., implementation bugs and misconfigurations. Finally, we argue for further work on understanding cross-protocol and cross-mechanism vulnerabilities (emergent properties), which are the byproduct of a highly complex system-of-systems and an indication of the issues in future large-scale systems.

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Section: D) Captchas and Puzzles (4 Items)mentioning

confidence: 99%

A Comprehensive Survey of Voice over IP Security Research

Keromytis

2012

IEEE Commun. Surv. Tutorials

116

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“…Quittek et al [35] propose the use of hidden Turing tests to identify SPIT callers. As a concrete approach, they leverage the interaction model in human conversation minimizes the amount of simultaneous ("double") talk by the participants, and the fact that there is a short pause at the beginning of an answered call, followed by a statement by the callee that initiates the conversation.…”

Section: Addressing Social Threats (49 Items)mentioning

confidence: 99%

A Survey of Voice over IP Security Research

Keromytis¹

2009

Information Systems Security

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“…Call 스팸을 방어하기 위한 기법 중 기존 이메일 스팸 대응 기법을 활용한 방법으로는 화이트/블랙리 스트 기법 [2] , Payment at risk 기법 [2,3] , Turing 테스트 기법 [4] [7] . …”

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A Scheme of VoIP Spam Detection Using Improved Multi Gray-Leveling

Chae

Jung

2012

The Journal of Korea Information and Communications Society

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In this paper, we propose an improved Multi Gray-Leveling scheme which reduces the problems of the existing Multi Gray-Leveling scheme suggested as a way of prevention against call spam in VoIP environment. The existing scheme having two different time period distinguishes the possibility of call spam by checking the call interval, so that it prevents the spammer's avoidance controlling the call interval. This is the strength of the existing one but it can misunderstand the normal user as a spammer due to taking long term time period. To solve this problem, this paper proposes the upgrade scheme which utilizes the receiver's action pattern as well as the caller's action pattern. It has such a good strength that can do gray leveling via the collected information in the database of VoIP service provider without user's direct involvement. Hence it can be a very effective way of VoIP spam detection.※ 본 연구는 지식경제부 및 정보통신산업진흥원의 대학 IT연구센터 지원사업의 연구결과로 수행되었음

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Detecting SPIT Calls by Checking Human Communication Patterns

Cited by 76 publications

References 3 publications

A Comprehensive Survey of Voice over IP Security Research

A Comprehensive Survey of Voice over IP Security Research

A Survey of Voice over IP Security Research

A Scheme of VoIP Spam Detection Using Improved Multi Gray-Leveling

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