ÇѱÛÁ¦¸ñ(Korean Title) |
SNMP ±â¹ÝÀÇ ½Ç½Ã°£ Æ®·¡ÇÈ ÆøÁÖ °ø°Ý ŽÁö ½Ã½ºÅÛ ¼³°è ¹× ±¸Çö |
¿µ¹®Á¦¸ñ(English Title) |
Design and Implementation of an SNMP-Based Traffic Flooding Attack Detection System |
ÀúÀÚ(Author) |
¹ÚÁØ»ó
±è¼ºÀ±
¹Ú´ëÈñ
ÃÖ¹ÌÁ¤
±è¸í¼·
Junsang Park
Sungyun Kim
Daihee Park
Mijung Choi
Myungsup Kim
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¿ø¹®¼ö·Ïó(Citation) |
VOL 16-C NO. 01 PP. 0013 ~ 0020 (2009. 02) |
Çѱ۳»¿ë (Korean Abstract) |
DoS/DDoS°ø°Ý°ú ¿ú °ø°ÝÀ¸·Î ´ëÇ¥µÇ´Â Æ®·¡ÇÈ ÆøÁÖ °ø°ÝÀº ±× Ư¼º»ó »çÀü Â÷´ÜÀÌ ¾î·Æ±â ¶§¹®¿¡ Á¤È®ÇÏ°í ºü¸¥ ŽÁö¿¡ ÀÇÇÑ ´ëó´Â °ø°Ý ŽÁö ½Ã½ºÅÛÀÌ °®Ãß¾î¾ß ÇÒ Çʼö¿ä°ÇÀÌ´Ù. º» ³í¹®¿¡¼´Â SNMP MIBÀÇ ´Ù¾çÇÑ »ó°ü°ü°è ºÐ¼®À» ÅëÇØ ºü¸£°í Á¤È®ÇÑ Å½Áö ¾Ë°í¸®ÁòÀ» Á¦¾ÈÇÏ°í, À̸¦ Àû¿ëÇÑ ½Ç½Ã°£ ŽÁö ½Ã½ºÅÛÀ» ±¸ÇöÇÏ¿´´Ù. °ø°Ý ŽÁö ¹æ¹ýÀº SNMP MIBÀÇ °»½Å Áֱ⸦ ÀÌ¿ëÇÏ¿© °ø°Ý ŽÁö ½ÃÁ¡À» °áÁ¤ÇÏ´Â ´Ü°è¿Í ¼ö½ÅµÈ ÆÐŶÀÇ »óÀ§ °èÃþ Àü´Þ·ü, ¼ö½ÅµÈ ÆÐŶ¿¡ ´ëÇÑ ÀÀ´ä·ü, ±×¸®°í Æó±âµÈ ÆÐŶ °³¼ö¿Í °°ÀºMIB Á¤º¸°£ÀÇ »ó°ü °ü°è¸¦ ÀÌ¿ëÇÏ¿© °ø°ÝÀÇ Â¡Èĸ¦ ÆÇ´ÜÇÏ´Â ´Ü°è, ÇÁ·ÎÅäÄÝ º° »ó¼¼ ºÐ¼®À» ÅëÇÏ¿© °ø°Ý À¯¹« ŽÁö ¹× °ø°Ý À¯Çü ºÐ·ù¸¦ ¼öÇàÇÏ´Â ´Ü°è·Î ±¸¼ºµÈ´Ù. Á¦¾ÈÇÑ Å½Áö ¹æ¹ýÀº ºü¸¥ ŽÁö·Î ¹ß»ýµÇ´Â ½Ã½ºÅÛ ºÎÇÏ¿Í °ü¸®¸¦ À§ÇÑ ¼Òºñ Æ®·¡ÇÈÀÇ Áõ°¡ ¹®Á¦¸¦ È¿À²ÀûÀ¸·Î ÇØ°áÇÏ¿© ´Ù¼öÀÇ Å½Áö ´ë»ó ½Ã½ºÅÛÀÇ °ü¸®°¡ °¡´ÉÇϸç, ºü¸£°í Á¤È®ÇÏ°Ô °ø°ÝÀÇ À¯¹«¸¦ ŽÁöÇÏ°í °ø°Ý À¯ÇüÀ» ºÐ·ùÇØ ³¾ ¼ö ÀÖ¾î °ø°Ý¿¡ ´ëÇÑ ½Å¼ÓÇÑ ´ëó°¡ °¡´ÉÇØ Áú ¼ö ÀÖ´Ù. |
¿µ¹®³»¿ë (English Abstract) |
Recently, as traffic flooding attacks such as DoS/DDoS and Internet Worm have posed devastating threats to network services, rapid detection and proper response mechanisms are the major concern for secure and reliable network services. However, most of the current Intrusion Detection Systems (IDSs) focus on detail analysis of packet data, which results in late detection and a high system burden to cope with high-speed network traffic. In this paper we propose an SNMP-based lightweight and fast detection algorithm for traffic flooding attacks, which minimizes the processing and network overhead of the detection system, minimizes the detection time, and provides high detection rate. The attack detection algorithm consists of three consecutive stages. The first stage determines the detection timing using the update interval of SNMP MIB. The second stage analyzes attack symptoms based on correlations of MIB data. The third stage determines whether an attack occurs or not and figure out the attack type in case of attack. |
Å°¿öµå(Keyword) |
Æ®·¡ÇÈ ÆøÁÖ °ø°Ý
DoS/DDoS
SNMP
MIB
ŽÁö ¾Ë°í¸®Áò
ŽÁö ½Ã°£
ŽÁö ½Ã½ºÅÛ
Traffic Flooding Attack
DoS/DDoS
SNMP
MIB
Detection Algorithm
Detection Time
Detection System
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