Name
Abstract | ||
|---|---|---|
Configuring and maintaining an enterprise network is a challenging and error-prone process. Administrators must often consider security policies from a variety of sources simultaneously, including regulatory requirements, industry standards, and to mitigate attack vectors. Erroneous implementation of a policy, however, can result in costly data breaches and intrusions. Relying on humans to discover and troubleshoot violations is slow and prone to error, considering the speed at which new attack vectors propagate and the increasing network dynamics, partly an effect of SDN. To ensure the network is always in a state consistent with the desired policies, administrators need frameworks to automatically diagnose and repair violations in real-time. To address this problem, we present NEAt, a system analogous to a smartphone's autocorrect feature that enables on-the-fly repair to policy-violating updates. NEAt modifies the forwarding behavior of updates to automatically repair violations of properties such as reachability, service chaining, and segmentation. NEAt sits between an SDN controller and the forwarding devices, and intercepts updates proposed by SDN applications. If an update violates the policy defined by an administrator, such as reachability or segmentation, NEAt transforms the update into one that complies with the policy. Unlike domain-specific languages or synthesis platforms, NEAt allows enterprise networks to leverage the advanced functionality of SDN applications while simultaneously achieving strong, automated enforcement of general policies. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3050220.3050238 | SOSR |
Field | DocType | Citations |
Troubleshooting,Chaining,Network dynamics,Computer science,Computer network,Reachability,Real-time computing,Data breach,Security policy,Software-defined networking,Enterprise private network,Distributed computing | Conference | 2 |
PageRank | References | Authors |
0.37 | 15 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenxuan Zhou | 1 | 81 | 6.51 |
| Jason Croft | 2 | 44 | 3.51 |
| Bingzhe Liu | 3 | 2 | 1.05 |
| Matthew Caesar | 4 | 2138 | 162.29 |