4.5 Article

SOChain: A Privacy-Preserving DDoS Data Exchange Service Over SOC Consortium Blockchain

Journal

IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
Volume 67, Issue 4, Pages 1487-1500

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TEM.2020.2976113

Keywords

Blockchain; Computer crime; Smart contracts; Denial-of-service attack; IP networks; Collaboration; Blockchain; bloom filter; Diffie-Hellman key exchange; distributed denial of service (DDoS); incentive coin

Funding

  1. National Science Council of Taiwan [MOST 108-2221-E-492-007-MY3, MOST 108-2218-E-009-049, 108-2218-E-001-001]

Ask authors/readers for more resources

IoT devices provide a significant medium for distributed denial-of-service (DDoS) attacks. In 2016, a large-scale DDoS attack, named Dyn, caused massive damage to several well-known companies. One effective countermeasure is observing previous network traffic information or abnormal behavior determined by the host machines and determining the latest DDoS-attack IP addresses. Because of the lack of a fair exchange mechanism, most security operation centers (SOCs) are unwilling to share their real-time DDoS data. In this article, we propose a decentralized DDoS data exchange platform, namely SOChain, using blockchain technology to overcome the trust and fairness issues. The platform incentivizes SOCs through the DDoS_coin token. The more DDoS information an SOC contributes, the more coins it earns. To confirm the validity of uploaded information, we enlist a content verifier to examine uploaded abnormal IP addresses. Moreover, the verifier is incentivized by the DDoS_coin. To decrease the management effort, the entire flow is automatically executed in smart contract deployed onto the blockchain system. To address the issue of privacy in smart contracts, we devise a novel dual-level Bloom filter to enable efficient searches with privacy protection. Herein, a verifiable method is designed without revealing the information to public.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available