Brad Cohen

dblp:67/9478 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1

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
1 paper
Cyber-physical and IoT security · 77% Network security · 23%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Energy systems and smart grids · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Energy systems and smart grids › power system control
smart grid control
0.112011
High-Assurance Smart Grid: A Three-Part Model for Smart Grid Control Systems · Proc. IEEE 2011
Cyber-physical and IoT security
smart grid security
0.112011
High-Assurance Smart Grid: A Three-Part Model for Smart Grid Control Systems · Proc. IEEE 2011

Methods — techniques the papers use, named apart from their topics

trust modeling · 0.2risk categorization · 0.2
YearPublicationVenuePosition
2024 Next Generation "Zen 5" Core
abstract
Performance ▪Deliver another major 1T and 2T performance increase ▪Balanced cross-core 1T and 2T instruction and data throughput ▪Create front end parallelism ▪Increased execution parallelism ▪High throughput, efficient data movement and prefetching ▪AVX512 with 512bit FPdatapathforthroughput andAI uplift
Brad Cohen, Mahesh Subramony, Mike Clark
HCS1
2011 High-Assurance Smart Grid: A Three-Part Model for Smart Grid Control Systems
abstract
As electrical grids evolve through the introduction of additional “smart” sensors, actuators, and control systems, cybersecurity becomes an ever more significant factor, necessitating the incorporation of Information Assurance principles throughout the electrical system-from central station power generating facilities, through transmission and distribution systems, to building management systems, distributed generation, home area networks, and plug-in hybrid electric vehicles. A precursor to determining the appropriate controls for any particular device within this complex system is to determine the trust model (or untrusted condition) within which the device exists. This paper, then, sets out to define a multilevel framework for an architecture to be used throughout the electrical system-a High-Assurance Smart Grid architecture that incorporates three core attributes: 1) categorizes cybersecurity requirements based on a multi-tier determination of a subsystem's potential impact on the overall system; 2) implements a robust defense-in-depth cybersecurity architecture; 3) implements a distributed rather than hierarchical control system architecture based on an assumed compromise (untrusted condition) of system control components and subsystems using autoresponsive (AR) load control wherever possible.
Thomas M. Overman, Ronald W. Sackman, Terry Davis, Brad Cohen
Proc. IEEE4