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Jing Li 0103

dblp:181/2820-103 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
0000-0002-3310-9446ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Network security · 100%
Computer networks
1 paper
Transport protocols and congestion control · 50% Routing and switching · 50%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network security › attack strategy
denial-of-service attack
0.512021
High-Potency Models of LDoS Attack Against CUBIC + RED · IEEE Trans. Inf. Forensics Secur. 2021
Network security › attack strategy › denial-of-service attack
low-rate dos attack
0.512021
High-Potency Models of LDoS Attack Against CUBIC + RED · IEEE Trans. Inf. Forensics Secur. 2021
Transport protocols and congestion control › TCP variants
TCP CUBIC
0.112021
High-Potency Models of LDoS Attack Against CUBIC + RED · IEEE Trans. Inf. Forensics Secur. 2021

Methods — techniques the papers use, named apart from their topics

theoretical analysis · 1.0attack modeling · 1.0
YearPublicationVenuePosition
2021 High-Potency Models of LDoS Attack Against CUBIC + RED
abstract
A TCP-targeted low-rate denial of service (LDoS) attack exploits the vulnerabilities of TCP congestion control mechanism. The most widely used TCP congestion control algorithm, CUBIC, increases the resilience to LDoS. This paper explores high-potency patterns of LDoS attacks against CUBIC TCP under the RED queue management scenario, and develops two attack models, the D- and S-models to maximize attack potency (i.e., the damage-to-cost ratio). Theoretical analyses and extensive experiments are conducted to validate the proper function of the models and evaluate their performance. Test results show that the models can effectively throttle CUBIC TCP throughput. Under standard-configured network parameters, one attack unit can damage up to about 21 and 26 TCP units for the D- and S-models, respectively, which represents an increase in attack potency about 20%. The attack potencies of our proposed models are at least 250% greater than that of the traditional attack model. In addition, with variations in different network parameters, these two models are still efficient and alternatively maximize the attack potency. Finally, attack countermeasures are outlined. The present study offers a basis to explore new attack manners which may be exploited by attackers and inspires researchers to develop new measurements against such attack.
Meng Yue 0002, Jing Li 0103, Zhijun Wu 0001, Minxiao Wang
IEEE Trans. Inf. Forensics Secur.2