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Zachary Goodman

dblp:176/1140 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

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

Systems, architecture and hardware · 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.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 50% Performance modeling and evaluation · 50%
Network and information security
1 paper
Network security · 100%
Computer networks
1 paper
Internet architecture and protocols · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Performance modeling and evaluation › performance monitoring
hardware monitoring
0.212016
Dynamic Hardware Monitors for Network Processor Protection · IEEE Trans. Computers 2016
Embedded and real-time systems
runtime monitoring
0.212016
Dynamic Hardware Monitors for Network Processor Protection · IEEE Trans. Computers 2016
Internet architecture and protocols › network security
router security
0.112016
Dynamic Hardware Monitors for Network Processor Protection · IEEE Trans. Computers 2016

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

simulation · 0.8hardware monitoring · 0.8FPGA prototyping · 0.8
YearPublicationVenuePosition
2016 Dynamic Hardware Monitors for Network Processor Protection
abstract
The importance of the Internet for society is increasing. To ensure a functional Internet, its routers need to operate correctly. However, the need for router flexibility has led to the use of software-programmable network processors in routers, which exposes these systems to data plane attacks. Recently, hardware monitors have been introduced into network processors to verify the expected behavior of processor cores at run time. If instruction-level execution deviates from the expected sequence, an attack is identified, triggering processor core recovery efforts. In this manuscript, we describe a scalable network processor monitoring system that supports the reallocation of hardware monitors to processor cores in response to workload changes. The scalability of our monitoring architecture is demonstrated using theoretical models, simulation, and router system-level experiments implemented on an FPGAbased hardware platform. For a system with four processor cores and six monitors, the monitors result in a 6 percent logic and 38 percent memory bit overhead versus the processor's core logic and instruction storage. No slowdown of system throughput due to monitoring is reported.
Kekai Hu, Harikrishnan Chandrikakutty, Zachary Goodman, Russell Tessier, Tilman Wolf
IEEE Trans. Computers3