Cited 0 time in
Probabilistic route selection algorithm for IP traceback
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Yim, Hong-bin | - |
| dc.contributor.author | Jung, Jae-il | - |
| dc.date.accessioned | 2022-12-20T10:44:04Z | - |
| dc.date.available | 2022-12-20T10:44:04Z | - |
| dc.date.issued | 2010-12 | - |
| dc.identifier.issn | 1865-0929 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/173297 | - |
| dc.description.abstract | DoS(Denial of Service) or DDoS(Distributed DoS) attack is a major threaten and the most difficult problem to solve among many attacks. Moreover, it is very difficult to find a real origin of attackers because DoS/DDoS attacker uses spoofed IP addresses. To solve this problem, we propose a probabilistic route selection traceback algorithm, namely PRST, to trace the attacker's real origin. This algorithm uses two types of packets such as an agent packet and a reply agent packet. The agent packet is in use to find the attacker's real origin and the reply agent packet is in use to notify to a victim that the agent packet is reached the edge router of the attacker. After attacks occur, the victim generates the agent packet and sends it to a victim's edge router. The attacker's edge router received the agent packet generates the reply agent packet and send it to the victim. The agent packet and the reply agent packet is forwarded refer to probabilistic packet forwarding table (PPFT) by routers. The PRST algorithm runs on the distributed routers and PPFT is stored and managed by routers. We validate PRST algorithm by using mathematical approach based on Poisson distribution. | - |
| dc.format.extent | 10 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Springer Verlag | - |
| dc.title | Probabilistic route selection algorithm for IP traceback | - |
| dc.type | Article | - |
| dc.publisher.location | 독일 | - |
| dc.identifier.doi | 10.1007/978-3-642-17610-4_11 | - |
| dc.identifier.scopusid | 2-s2.0-78650770882 | - |
| dc.identifier.bibliographicCitation | Communications in Computer and Information Science, v.122 CCIS, pp 94 - 103 | - |
| dc.citation.title | Communications in Computer and Information Science | - |
| dc.citation.volume | 122 CCIS | - |
| dc.citation.startPage | 94 | - |
| dc.citation.endPage | 103 | - |
| dc.type.docType | Conference Paper | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.subject.keywordPlus | DDoS Attack | - |
| dc.subject.keywordPlus | Denial of Service | - |
| dc.subject.keywordPlus | Distributed DoS | - |
| dc.subject.keywordPlus | Distributed routers | - |
| dc.subject.keywordPlus | DoS/DDoS | - |
| dc.subject.keywordPlus | Edge routers | - |
| dc.subject.keywordPlus | IP addresss | - |
| dc.subject.keywordPlus | IP Traceback | - |
| dc.subject.keywordPlus | Mathematical approach | - |
| dc.subject.keywordPlus | Packet forwarding | - |
| dc.subject.keywordPlus | PRST | - |
| dc.subject.keywordPlus | Route Selection | - |
| dc.subject.keywordPlus | Route selection algorithms | - |
| dc.subject.keywordPlus | Traceback | - |
| dc.subject.keywordPlus | Algorithms | - |
| dc.subject.keywordPlus | Computer system recovery | - |
| dc.subject.keywordPlus | Information technology | - |
| dc.subject.keywordPlus | Poisson distribution | - |
| dc.subject.keywordPlus | Routers | - |
| dc.subject.keywordPlus | Network security | - |
| dc.subject.keywordAuthor | DDoS attack | - |
| dc.subject.keywordAuthor | IP Traceback | - |
| dc.subject.keywordAuthor | Network Security | - |
| dc.subject.keywordAuthor | PRST | - |
| dc.identifier.url | https://link.springer.com/chapter/10.1007/978-3-642-17610-4_11 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1366
COPYRIGHT © 2024 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
