AIM-SDN: Attacking Information Mismanagement in SDN-datastores
Vaibhav Hemant Dixit, Adam Doupé, Yan Shoshitaishvili, Ziming Zhao, Gail-Joon Ahn
摘要
Network Management is a critical process for an enterprise to configure and monitor the network devices using cost effective methods. It is imperative for it to be robust and free from adversarial or accidental security flaws. With the advent of cloud computing and increasing demands for centralized network control, conventional management protocols like SNMP appear inadequate and newer techniques like NMDA and NETCONF have been invented. However, unlike SNMP which underwent improvements concentrating on security, the new data management and storage techniques have not been scrutinized for the inherent security flaws. In this paper, we identify several vulnerabilities in the widely used critical infrastructures which leverage the Network Management Datastore Architecture design (NMDA). Software Defined Networking (SDN), a proponent of NMDA, heavily relies on its datastores to program and manage the network. We base our research on the security challenges put forth by the existing datastore's design as implemented by the SDN controllers. The vulnerabilities identified in this work have a direct impact on the controllers like OpenDayLight, Open Network Operating System and their proprietary implementations (by CISCO, Ericsson, RedHat, Brocade, Juniper, etc). Using our threat detection methodology, we demonstrate how the NMDA-based implementations are vulnerable to attacks which compromise availability, integrity, and confidentiality of the network. We finally propose defense measures to address the security threats in the existing design and discuss the challenges faced while employing these countermeasures.
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引用它的顶会 Paper6
- Unexpected Data Dependency Creation and Chaining: A New Attack to SDNFeng Xiao, Jinquan Zhang, Jianwei Huang, Guofei Gu 等S&P 2020 · 被引用 31 次
- Causal Analysis for Software-Defined Networking AttacksBenjamin E. Ujcich, Samuel Jero, Richard Skowyra, Adam Bates 等USENIX Security 2021 · 被引用 26 次
- AudiSDN: Automated Detection of Network Policy Inconsistencies in Software-Defined NetworksSeungsoo Lee, Seungwon Woo, Jinwoo Kim, Vinod Yegneswaran 等INFOCOM 2020 · 被引用 13 次
- OblivSketch: Oblivious Network Measurement as a Cloud ServiceShangqi Lai, Xingliang Yuan, Joseph K. Liu, Xun Yi 等NDSS 2021
- When Address Learning Goes Wrong: Inducing Forwarding Loops and DoS Amplification in SDNDezhang Kong, Yilun Zhang, Zekun Xie, Ningpeng Zheng 等USENIX Security 2026
它引用的顶会 Paper4
- DELTA: A Security Assessment Framework for Software-Defined NetworksSeungsoo Lee, Changhoon Yoon, Chanhee Lee, Seungwon Shin 等NDSS 2017 · 被引用 128 次
- SPIFFY: Inducing Cost-Detectability Tradeoffs for Persistent Link-Flooding AttacksMin Suk Kang, Virgil D. Gligor, Vyas SekarNDSS 2016 · 被引用 123 次
- Attacking the Network Time ProtocolAanchal Malhotra, Isaac E. Cohen, Erik Brakke, Sharon GoldbergNDSS 2016 · 被引用 100 次
- Attacking the Brain: Races in the SDN Control PlaneLei Xu, Jeff Huang, Sungmin Hong, Jialong Zhang 等USENIX Security 2017 · 被引用 77 次
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