| 基于蜜罐在线恶意网页检测系统研究与设计 |
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| 引用本文： | 康松林,胡赐元,孙永新.基于蜜罐在线恶意网页检测系统研究与设计[J].计算机系统应用,2010,19(2):152-154. |
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| 作者姓名： | 康松林 胡赐元 孙永新 |
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| 作者单位： | 中南大学,信息科学与工程学院,湖南,长沙,410083 |
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| 基金项目： | 国家自然科学基金(60773013) |
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| 摘 要： | 针对网页安全威胁的动态性、广泛性等特点，设计了一个基于蜜罐在线恶意网页检测系统。该系统使用URL数据表来记录网页地址，同时结合蜜罐技术对URL数据表不存在或存在但还需进行检测的网页进行综合检测，实时检测出用户需要浏览的网页的安全状态，避免恶意网页的攻击，从而提高人们网络活动的安全性。
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| 关 键 词： | 蜜罐 在线检测 恶意网页 URL数据表 实时性 |
| 收稿时间： | 2009/5/19 0:00:00 |
Research and Design of On-Line Mal-Webpage Detection System Based on Honeypot |
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| KANG Song-Lin,HU Ci-Yuan and SUN Yong-Xin.Research and Design of On-Line Mal-Webpage Detection System Based on Honeypot[J].Computer Systems& Applications,2010,19(2):152-154. |
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| Authors: | KANG Song-Lin HU Ci-Yuan and SUN Yong-Xin |
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| Affiliation: | KANG Song-Lin,HU Ci-Yuan,SUN Yong-Xin(School of Information Science , Engineering,Central South University,Changsha 410083,China) |
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| Abstract: | As web threats are dynamic and universal, an on-line mal-webpage detection system based on honeypot is designed. In this system, the URL table with some special fields is designed to store URLs, and the honeypot is used to detect those Webs that are not in table or in table but need detection once again. The system can detect the safe state of Webs in realtime with more accuracy. |
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| Keywords: | honeypot on-line detection mal-webpage URL tables real-time |
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