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Jinan Shen

dblp:204/7178 · DBLP profile ↗
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5ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0001-6222-4278ORCID · corroborated

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

Systems, architecture and hardware · 3 · 1 first-authorSecurity and privacy · 1Software engineering, systems software and programming languages · 1

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.

Computer networks
1 paper
Software-defined and programmable networks · 87% Network management and operations · 13%
Network and information security
1 paper
Network security · 100%

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

TopicWeightPapersLastEvidence papers
Software-defined and programmable networks › SDN security
flow table overflow attack
0.412019
Defending Against Flow Table Overloading Attack in Software-Defined Networks · IEEE Trans. Serv. Comput. 2019
Software-defined and programmable networks
SDN security
0.412019
Defending Against Flow Table Overloading Attack in Software-Defined Networks · IEEE Trans. Serv. Comput. 2019
Network security › attack strategy › denial-of-service attack
DDoS attack
0.412019
Defending Against Flow Table Overloading Attack in Software-Defined Networks · IEEE Trans. Serv. Comput. 2019

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

mathematical modeling · 0.8
YearPublicationVenuePosition
2020 Static detection of real-world buffer overflow induced by loop
Deqing Zou, Yajuan Du, Hai Jin 0001, Changming Liu, Jinan Shen
Comput. Secur.6
2019 A domain-divided configurable security model for cloud computing-based telecommunication services
Jinan Shen, Deqing Zou, Hai Jin 0001, Bin Yuan 0002, Weiqi Dai
J. Supercomput.1
2019 Defending Against Flow Table Overloading Attack in Software-Defined Networks
abstract
The Software-Defined Network (SDN) is a new and promising network architecture. At the same time, SDN will surely become a new target of cyber attackers. In this paper, we point out one critical vulnerability in SDNs, the size of flow table, which is most likely to be attacked. Due to the expensive and power-hungry features of Ternary Content Addressable Memory (TCAM), a flow table usually has a limited size, which can be easily disabled by a flow table overloading attack (a transformed DDoS attack). To provide a security service in SDN, we proposed a QoS-aware mitigation strategy, namely, peer support strategy, which integrates the available idle flow table resource of the whole SDN system to mitigate such an attack on a single switch of the system. We established a practical mathematical model to represent the studied system, and conducted a thorough analysis for the system in various circumstances. Based on our analysis, we found that the proposed strategy can effectively defeat the flow table overloading attacks. Extensive simulations and testbed-based experiments solidly support our claims. Moreover, our work also shed light on the implementation of SDN networks against possible brute-force attacks.
Bin Yuan 0002, Deqing Zou, Shui Yu 0001, Hai Jin 0001, Weizhong Qiang, Jinan Shen
IEEE Trans. Serv. Comput.6
2018 DigHR: precise dynamic detection of hidden races with weak causal relation analysis
Deqing Zou, Hai Jin 0001, Yajuan Du, Long Zheng 0003, Jinan Shen
J. Supercomput.6
2017 A dynamic predictive race detector for C/C++ programs
Deqing Zou, Hai Jin 0001, Yajuan Du, Jinan Shen
J. Supercomput.5