| Paper Abstract and Keywords |
| Presentation |
2024-02-29 11:35
Identification Method of Vulnerable Target Areas for Crossfire Attacks Tianyu Wang, Noriaki Kamiyama (Ritsumeikan Univ.) NS2023-195 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
CFA(Crossfire Attack)is distinguished from other DDoS(Distributed Denial of Service)attacks by its characteristic of targeting links rather than servers. CFA can cause significant damage to networks due to their difficulty in detection. However, traditional defense models that rely on detecting DDoS attacks at servers are no longer effective for CFA due to focusing on links. A possible way to provide a more target-oriented defense against CFA is to deploy a defense against the network topology in which the server resides before the attack is launched. However, since the target areas chosen by an attacker are unpredictable, it is difficult to predict CFA attacks in advance and implement a defense plan. Therefore, in this paper, we define a measure to evaluate the impact of CFA and analyze several network topologies to identify the characteristics of vulnerable areas of network topologies susceptible to CFA attacks, and we propose an algorithm to select vulnerable areas using these characteristics. The proposed algorithm can efficiently find vulnerable areas of network topologies susceptible to CFA attacks. Furthermore, we evaluate the accuracy of the proposed algorithm in selecting vulnerable areas to confirm the effectiveness of the proposed algorithm. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
CFA / Network topology / vulnerability / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 123, no. 397, NS2023-195, pp. 137-142, Feb. 2024. |
| Paper # |
NS2023-195 |
| Date of Issue |
2024-02-22 (NS) |
| ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| Download PDF |
NS2023-195 |
| Conference Information |
| Committee |
NS IN |
| Conference Date |
2024-02-29 - 2024-03-01 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Okinawa Convention Center |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
General |
| Paper Information |
| Registration To |
NS |
| Conference Code |
2024-02-NS-IN |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Identification Method of Vulnerable Target Areas for Crossfire Attacks |
| Sub Title (in English) |
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| Keyword(1) |
CFA |
| Keyword(2) |
Network topology |
| Keyword(3) |
vulnerability |
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| 1st Author's Name |
Tianyu Wang |
| 1st Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
| 2nd Author's Name |
Noriaki Kamiyama |
| 2nd Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2024-02-29 11:35:00 |
| Presentation Time |
25 minutes |
| Registration for |
NS |
| Paper # |
NS2023-195 |
| Volume (vol) |
vol.123 |
| Number (no) |
no.397 |
| Page |
pp.137-142 |
| #Pages |
6 |
| Date of Issue |
2024-02-22 (NS) |