文献类型：期刊文献

英文题名：Voice recognition on IP-spam based on genetic algorithms

作者：Jia, Hailong[1]; Tang, Pei[2]

第一作者：贾海龙

通讯作者：Jia, Hailong

机构：[1] Xinxiang University, Center of Modern Education Technology, Xinxiang, China; [2] Xinxiang University, Department of Art Design, Xinxiang, China

第一机构：新乡学院

年份：2014

卷号：32

期号：6

起止页码：6349-6356

外文期刊名：Energy Education Science and Technology Part A: Energy Science and Research

收录：EI(收录号：20152500945914);Scopus(收录号：2-s2.0-84931271134)

语种：英文

外文关键词：Algorithms - Genetic algorithms - Internet - Internet telephony - Motion compensation - Nearest neighbor search - Pattern recognition - Voice/data communication systems

摘要：With its rapid growth in popularity and attendant personal and commercial use of voice over Internet protocol (VoIP), spam over VoIP has emerged as a significant problem. In this paper, we first applied genetic algorithms to weight predetermined features of VoIP calls. Based on the weighting technique, we then proposed a mechanism for the online prevention of VoIP spam by the k-nearest neighbor classification. Differing from the traditional k-nearest neighbor algorithm, this paper used genetic algorithms to weight features to reflect the different degree of importance of each feature. VoIP is a realtime communication service, as compared to off-line e-mail, and VoIP spam is also known as Spam over Internet telephony (SPIT). The system proposed in this paper has been named PSPIT that denotes Prevention of SPIT. Once spam is identified, the proposed PSPIT immediately updates the built-in blacklist on the Session Initiation Protocol (SIP) server to block that specific user from sending SPIT again. ? Sila Science. All Rights Reserved.