Demo Data from EDBT 2026 / reviewers in the wild / expert
Stephen McLaughlin 0003
dblp:29/4916-3
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2016
0000-0002-9558-8294ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
2 papers |
Cyber-physical and IoT security · 40% Systems and software security · 35% Network security · 12% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 100% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cyber-physical and IoT security
industrial control system security |
0.2 | 1 | 2016 | The Cybersecurity Landscape in Industrial Control Systems · Proc. IEEE 2016 |
Network security › intrusion detection and prevention
intrusion detection |
0.1 | 1 | 2016 | The Cybersecurity Landscape in Industrial Control Systems · Proc. IEEE 2016 |
Cryptographic primitives and cryptanalysis
security analysis |
0.1 | 1 | 2016 | The Cybersecurity Landscape in Industrial Control Systems · Proc. IEEE 2016 |
Embedded and real-time systems
cyber-physical system platforms |
0.1 | 1 | 2015 | Blocking unsafe behaviors in control systems through static and dynamic policy enforcement · DAC 2015 |
Embedded and real-time systems › cyber-physical system platforms
programmable logic controllers |
0.1 | 1 | 2015 | Blocking unsafe behaviors in control systems through static and dynamic policy enforcement · DAC 2015 |
Methods — techniques the papers use, named apart from their topics
static policy enforcement · 0.4dynamic policy enforcement · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | The Cybersecurity Landscape in Industrial Control SystemsabstractIndustrial control systems (ICSs) are transitioning from legacy-electromechanical-based systems to modern information and communication technology (ICT)-based systems creating a close coupling between cyber and physical components. In this paper, we explore the ICS cybersecurity landscape including: 1) the key principles and unique aspects of ICS operation; 2) a brief history of cyberattacks on ICS; 3) an overview of ICS security assessment; 4) a survey of “uniquely-ICS” testbeds that capture the interactions between the various layers of an ICS; and 5) current trends in ICS attacks and defenses. Stephen McLaughlin 0003, Charalambos Konstantinou, Lucas Davi, Ahmad-Reza Sadeghi, Michail Maniatakos, Ramesh Karri |
Proc. IEEE | 1 |
| 2015 | Blocking unsafe behaviors in control systems through static and dynamic policy enforcementabstractOne of the most universally accepted practices in computer security is the use of security policy enforcement. Under a policy enforcement regime, users and programs can only perform actions for which they are authorized by the security policy. Unfortunately, modern control systems fail to make effective use of policy enforcement. In many cases, privilege in control systems is binary--a single password is sufficient to gain most or all privileges within the system. In this paper, we consider the benefits and challenges of enforcing security policies for code running on Programmable Logic Controllers (PLCs). We first summarize two of our previous approaches, which place no trust in the PLC to behave correctly. While these approaches show promise, especially for current PLC architectures, they are lacking in comparison to approaches based on a trustworthy PLC design. Thus, we argue that future PLCs should implement a Trusted Computing Base (TCB). Such a TCB is a small set of trusted hardware and software that is sufficient for enforcing policies directly on the PLC. We also propose a method of doing policy enforcement on PLCs supporting a small TCB, and argue that it is the simpler and more effective means of doing policy enforcement for PLCs. We conclude that future PLCs should support a small TCB. Stephen McLaughlin 0003 |
DAC | 1 |