The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
SPIM으로도 알려진 IM(인스턴트 메시징) 스팸 문제는 최근 몇 년간 문제가 되고 있습니다. IM과 이메일 서비스의 시스템 인프라 및 특성의 차이로 인해 현재 스팸 방지 방법은 SPIM에 적합하지 않습니다. SPIM을 효과적으로 제거하기 위해 본 논문에서는 신뢰 순위 방법을 제안한다. 평판 네트워크를 구축하는 메커니즘, 글로벌 평판 및 로컬 신뢰 순위 알고리즘, 평판 관리 및 SPIM 필터링 방법을 제시합니다. 5가지 처리 모드 및 알고리즘 개선에 따른 실험도 소개됩니다. 실험은 제안된 방법이 여러 위협 모델에서 SPIM 공격을 처리하는 데 탄력적이라는 것을 보여줍니다.
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Jun BI, "A Trust Ranking Method to Prevent IM Spam" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 5, pp. 937-944, May 2009, doi: 10.1587/transinf.E92.D.937.
Abstract: The problem of IM (Instant Messaging) SPAM, also known as SPIM, has become a challenge in recent years. The current anti-SPAM methods are not quite suitable for SPIM because of the differences in system infrastructures and characteristics between IM and email service. In order to effectively eliminate SPIM, we propose a trust ranking method in this paper. The mechanism to build up reputation network, global reputation and local trust ranking algorithms, reputation management, and SPIM filtering methods are presented. The experiments under five treat modes and algorithms enhancement are also introduced. The experiment shows that the proposed method is resilient to deal with SPIM attacks under several threat models.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.937/_p
부
@ARTICLE{e92-d_5_937,
author={Jun BI, },
journal={IEICE TRANSACTIONS on Information},
title={A Trust Ranking Method to Prevent IM Spam},
year={2009},
volume={E92-D},
number={5},
pages={937-944},
abstract={The problem of IM (Instant Messaging) SPAM, also known as SPIM, has become a challenge in recent years. The current anti-SPAM methods are not quite suitable for SPIM because of the differences in system infrastructures and characteristics between IM and email service. In order to effectively eliminate SPIM, we propose a trust ranking method in this paper. The mechanism to build up reputation network, global reputation and local trust ranking algorithms, reputation management, and SPIM filtering methods are presented. The experiments under five treat modes and algorithms enhancement are also introduced. The experiment shows that the proposed method is resilient to deal with SPIM attacks under several threat models.},
keywords={},
doi={10.1587/transinf.E92.D.937},
ISSN={1745-1361},
month={May},}
부
TY - JOUR
TI - A Trust Ranking Method to Prevent IM Spam
T2 - IEICE TRANSACTIONS on Information
SP - 937
EP - 944
AU - Jun BI
PY - 2009
DO - 10.1587/transinf.E92.D.937
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2009
AB - The problem of IM (Instant Messaging) SPAM, also known as SPIM, has become a challenge in recent years. The current anti-SPAM methods are not quite suitable for SPIM because of the differences in system infrastructures and characteristics between IM and email service. In order to effectively eliminate SPIM, we propose a trust ranking method in this paper. The mechanism to build up reputation network, global reputation and local trust ranking algorithms, reputation management, and SPIM filtering methods are presented. The experiments under five treat modes and algorithms enhancement are also introduced. The experiment shows that the proposed method is resilient to deal with SPIM attacks under several threat models.
ER -