VLDB 2026 Research / reviewers in the wild / expert
Maher Khan
dblp:298/9409
· DBLP profile ↗
3ranked-venue papers
2as first author
3since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 3 · 2 first-author · 3 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Tolerating Compound Threats in Critical Infrastructure Control SystemsabstractCompound threats, in which cyberattacks are targeted in the aftermath of a natural hazard, pose an important emerging threat for critical infrastructure. In this paper, we analyze the system design implications of compound threats for power grid SCADA systems for the first time. We introduce a novel compound threat model and develop a tool for analyzing resilience under this threat model. Using our tool, we compare the resilience of existing fault- and intrusion-tolerant SCADA system architectures in case studies based on two power utilities: Hawaiian Electric (HECO) and Florida Power & Light (FPL). We show that no existing system architecture adequately addresses compound threats, but that it is possible to improve resilience to such threats by explicitly considering natural hazards in the system design and by employing a new out-of-band reconfiguration mechanism for intrusion-tolerant systems. However, an important outcome of our work is that compound threats remain a challenging problem, with no complete solution. Sahiti Bommareddy, Maher Khan, Huzaifah Nadeem, Benjamin Gilby, Imes Chiu, John W. van de Lindt, Omar Nofal, Mathaios Panteli, Linton Wells, Yair Amir, Amy Babay |
SRDS | 2 |
| 2023 | Making Intrusion Tolerance Accessible: A Cloud-Based Hybrid Management Approach to Deploying Resilient SystemsabstractEven with the rise of cyberattacks on high-value systems, we still do not see widespread adoption of intrusion-tolerant replication protocols, despite their long history in the research community and potential to support the needed resiliency. A key barrier is that deploying and managing intrusion-tolerant systems in practice requires substantial investment in additional physical infrastructure, as well as specialized technical expertise. In this work, we address this gap by designing a hybrid management model: while the system operator manages their application, a service provider hosts and manages the intrusion-tolerant replication service using cloud infrastructure. We develop the protocols to support this system architecture, without revealing application state, algorithms, or client information to the cloud provider, even when application servers are compromised. We implement and evaluate our approach in the context of an industrial control system and show that it meets the system's performance and resilience requirements. Maher Khan, Amy Babay |
SRDS | 1 |
| 2021 | Toward Intrusion Tolerance as a Service: Confidentiality in Partially Cloud-Based BFT SystemsabstractRecent work on intrusion-tolerance has shown that resilience to sophisticated network attacks requires system replicas to be deployed across at least three geographically distributed sites. While commodity data centers offer an attractive solution for hosting these sites due to low cost and management overhead, their use raises significant confidentiality concerns: system operators may not want private data or proprietary algorithms exposed to servers outside their direct control. We present a new model for Byzantine Fault Tolerant replicated systems that moves toward “intrusion tolerance as a service”. Under this model, application logic and data are only exposed to servers hosted on the system operator's premises. Additional offsite servers hosted in data centers can support the needed resilience without executing application logic or accessing unencrypted state. We have implemented this approach in the open-source Spire system, and our evaluation shows that the performance overhead of providing confidentiality can be less than 4% in terms of latency. Maher Khan, Amy Babay |
DSN | 1 |