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
Dalam beberapa tahun kebelakangan ini, potensi besar manfaat daripada aplikasi baru dalam rangkaian ad hoc mudah alih (MANET) telah dibincangkan secara meluas. Walau bagaimanapun, tanpa mekanisme dan sistem keselamatan yang teguh untuk menyediakan cangkang keselamatan melalui infrastruktur MANET, aplikasi MANET boleh terdedah dan dibelasah oleh penyerang berniat jahat dengan mudah. Untuk mengesan penghalaan mesej yang salah laku dan mengenal pasti penyerang berniat jahat dalam MANET, skim berdasarkan konsep reputasi telah menunjukkan kelebihannya dalam bidang ini dari segi kebolehskalaan yang baik dan strategi pengesanan berasaskan ambang yang mudah. Kami memerhatikan bahawa skim reputasi terdahulu secara amnya menggunakan ambang yang telah ditetapkan yang tidak mengambil kira kesan dinamik tingkah laku antara nod dalam tempoh masa. Dalam kertas kerja ini, kami mencadangkan Sistem Reputasi Adaptif Ambang (TARS) untuk mengatasi kelemahan strategi ambang statik dan menambah baik prestasi keseluruhan MANET di bawah serangan penghalaan yang salah laku. Enjin inferens berasaskan kabur diperkenalkan untuk menilai kebolehpercayaan jiran satu hop nod. Nod berniat jahat yang nilai kepercayaannya lebih rendah daripada ambang penyesuaian, akan dikesan dan ditapis oleh jiran jujur mereka semasa proses penilaian kepercayaan. Keputusan simulasi rangkaian menunjukkan bahawa TARS mengatasi skim perbandingan lain di bawah serangan keselamatan dalam kebanyakan kes dan pada masa yang sama mengurangkan pengurangan jumlah nisbah penghantaran paket sebanyak 67% berbanding dengan MANET tanpa sistem reputasi.
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Salinan
Hsiao-Chien TSAI, Nai-Wei LO, Tzong-Chen WU, "A Threshold-Adaptive Reputation System on Mobile Ad Hoc Networks" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 5, pp. 777-786, May 2009, doi: 10.1587/transinf.E92.D.777.
Abstract: In recent years huge potential benefits from novel applications in mobile ad hoc networks (MANET) have been discussed extensively. However, without robust security mechanisms and systems to provide safety shell through the MANET infrastructure, MANET applications can be vulnerable and hammered by malicious attackers easily. In order to detect misbehaved message routing and identify malicious attackers in MANET, schemes based on reputation concept have shown their advantages in this area in terms of good scalability and simple threshold-based detection strategy. We observed that previous reputation schemes generally use predefined thresholds which do not take into account the effect of behavior dynamics between nodes in a period of time. In this paper, we propose a Threshold-Adaptive Reputation System (TARS) to overcome the shortcomings of static threshold strategy and improve the overall MANET performance under misbehaved routing attack. A fuzzy-based inference engine is introduced to evaluate the trustiness of a node's one-hop neighbors. Malicious nodes whose trust values are lower than the adaptive threshold, will be detected and filtered out by their honest neighbors during trustiness evaluation process. The results of network simulation show that the TARS outperforms other compared schemes under security attacks in most cases and at the same time reduces the decrease of total packet delivery ratio by 67% in comparison with MANET without reputation system.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.777/_p
Salinan
@ARTICLE{e92-d_5_777,
author={Hsiao-Chien TSAI, Nai-Wei LO, Tzong-Chen WU, },
journal={IEICE TRANSACTIONS on Information},
title={A Threshold-Adaptive Reputation System on Mobile Ad Hoc Networks},
year={2009},
volume={E92-D},
number={5},
pages={777-786},
abstract={In recent years huge potential benefits from novel applications in mobile ad hoc networks (MANET) have been discussed extensively. However, without robust security mechanisms and systems to provide safety shell through the MANET infrastructure, MANET applications can be vulnerable and hammered by malicious attackers easily. In order to detect misbehaved message routing and identify malicious attackers in MANET, schemes based on reputation concept have shown their advantages in this area in terms of good scalability and simple threshold-based detection strategy. We observed that previous reputation schemes generally use predefined thresholds which do not take into account the effect of behavior dynamics between nodes in a period of time. In this paper, we propose a Threshold-Adaptive Reputation System (TARS) to overcome the shortcomings of static threshold strategy and improve the overall MANET performance under misbehaved routing attack. A fuzzy-based inference engine is introduced to evaluate the trustiness of a node's one-hop neighbors. Malicious nodes whose trust values are lower than the adaptive threshold, will be detected and filtered out by their honest neighbors during trustiness evaluation process. The results of network simulation show that the TARS outperforms other compared schemes under security attacks in most cases and at the same time reduces the decrease of total packet delivery ratio by 67% in comparison with MANET without reputation system.},
keywords={},
doi={10.1587/transinf.E92.D.777},
ISSN={1745-1361},
month={May},}
Salinan
TY - JOUR
TI - A Threshold-Adaptive Reputation System on Mobile Ad Hoc Networks
T2 - IEICE TRANSACTIONS on Information
SP - 777
EP - 786
AU - Hsiao-Chien TSAI
AU - Nai-Wei LO
AU - Tzong-Chen WU
PY - 2009
DO - 10.1587/transinf.E92.D.777
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2009
AB - In recent years huge potential benefits from novel applications in mobile ad hoc networks (MANET) have been discussed extensively. However, without robust security mechanisms and systems to provide safety shell through the MANET infrastructure, MANET applications can be vulnerable and hammered by malicious attackers easily. In order to detect misbehaved message routing and identify malicious attackers in MANET, schemes based on reputation concept have shown their advantages in this area in terms of good scalability and simple threshold-based detection strategy. We observed that previous reputation schemes generally use predefined thresholds which do not take into account the effect of behavior dynamics between nodes in a period of time. In this paper, we propose a Threshold-Adaptive Reputation System (TARS) to overcome the shortcomings of static threshold strategy and improve the overall MANET performance under misbehaved routing attack. A fuzzy-based inference engine is introduced to evaluate the trustiness of a node's one-hop neighbors. Malicious nodes whose trust values are lower than the adaptive threshold, will be detected and filtered out by their honest neighbors during trustiness evaluation process. The results of network simulation show that the TARS outperforms other compared schemes under security attacks in most cases and at the same time reduces the decrease of total packet delivery ratio by 67% in comparison with MANET without reputation system.
ER -