Pacer: Comprehensive Network Side-Channel Mitigation in the Cloud
This addresses security vulnerabilities for cloud tenants by preventing secret leaks through traffic analysis, representing a novel system-level solution rather than an incremental improvement.
The paper tackles the problem of network side-channel leaks in public IaaS clouds by introducing Pacer, a system that eliminates these leaks end-to-end, imposing moderate overheads on bandwidth, latency, and throughput while thwarting attacks based on CNN classifiers.
Network side channels (NSCs) leak secrets through packet timing and packet sizes. They are of particular concern in public IaaS Clouds, where any tenant may be able to colocate and indirectly observe a victim's traffic shape. We present Pacer, the first system that eliminates NSC leaks in public IaaS Clouds end-to-end. It builds on the principled technique of shaping guest traffic outside the guest to make the traffic shape independent of secrets by design. However, Pacer also addresses important concerns that have not been considered in prior work -- it prevents internal side-channel leaks from affecting reshaped traffic, and it respects network flow control, congestion control and loss recovery signals. Pacer is implemented as a paravirtualizing extension to the host hypervisor, requiring modest changes to the hypervisor and the guest kernel, and only optional, minimal changes to applications. We present Pacer's key abstraction of a cloaked tunnel, describe its design and implementation, prove the security of important design aspects through a formal model, and show through an experimental evaluation that Pacer imposes moderate overheads on bandwidth, client latency, and server throughput, while thwarting attacks based on state-of-the-art CNN classifiers.