Semi-synchronized Non-blocking Concurrent Kernel Cruising

Donghai Tian, Qiang Zeng, Dinghao Wu, Peng Liu, Changzhen Hu

Research output: Contribution to journalArticle

Abstract

Kernel heap buffer overflow vulnerabilities have been exposed for decades, but there are few practical countermeasure that can be applied to OS kernels. Previous solutions either suffer from high performance overhead or compatibility problems with mainstream kernels and hardware. In this paper, we present KRUISER, a concurrent kernel heap buffer overflow monitor. Unlike conventional methods, the security enforcement of which is usually inlined into the kernel execution, Kruiser migrates security enforcement from the kernel's normal execution to a concurrent monitor process, leveraging the increasingly popular multi-core architectures. To reduce the synchronization overhead between the monitor process and the running kernel, we design a novel semi-synchronized non-blocking monitoring algorithm, which enables efficient runtime detection on live memory without incurring false positives. To prevent the monitor process from being tampered and provide guaranteed performance isolation, we utilize the virtualization technology to run the monitor process out of the monitored VM, while heap memory allocation information is collected inside the monitored VM in a secure and efficient way. We have implemented a prototype of KRUISER based on Linux and the Xen/KVM hypervisor. The evaluation shows that Kruiser can detect realistic kernel heap buffer overflow attacks in cloud environment effectively with minimal cost.

Original languageEnglish (US)
JournalIEEE Transactions on Cloud Computing
DOIs
StateAccepted/In press - Jan 1 2020

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications

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