- Home
- People
- Projects
- Practical Security Verification
- Secure Cloud Computing
- Security of AI Systems
- Deep Learning for Security
- Smartphone Security
- Cache Side-Channels and Secure Caches
- De-anonymization
- Running Unvetted Programs
- Secure RISC-V processor
- SP and Bastion Secure Processor Architectures
- Crypto Acceleration
- OpenSPARC Researh
- SecureCore
- Advanced Bit Manipulation
- PAX
- PLX
- Publications
- Research
- Conference and Journals
- Project Archive
- Photos
Cloud Security on Demand
Cloud customers need guarantees regarding the security of their virtual machines (VMs), operating within an Infrastructure as a Service (IaaS) cloud system. This is complicated by the customer not knowing where his VM is executing, and on the semantic gap between what the customer wants to know versus what can be measured in the cloud. We present an architecture for monitoring a VM’s security health, with the ability to attest this to the customer in an unforgeable manner
- Tianwei Zhang and Ruby B. Lee " Monitoring and Attestation of Virtual Machine Security Health in Cloud Computing". IEEE Micro Special Issues on Security, Volume 36, Issue 5, 2016
- Tianwei Zhang and Ruby B. Lee, " CloudMonatt: an Architecture for Security Health Monitoring and Attestation of Virtual Machines in Cloud Computing". In ACM International Symposium on Computer Architecture (ISCA), 2015.
- Pramod Jamkhedkar, Jakub Szefer, Diego Perez-Botero, Tianwei Zhang, Gina Triolo and Ruby B. Lee, " A Framework for Realizing Security on Demand in Cloud Computing", in IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2013