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Karsten Schmidt 0003

dblp:s/KarstenSchmidt3 · DBLP profile ↗
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3ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · unresolved

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

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1Security and privacy · 1Software engineering, systems software and programming languages · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

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 · 100%
Software engineering, system software, and programming languages
1 paper
Software maintenance and evolution · 100%

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

TopicWeightPapersLastEvidence papers
Embedded and real-time systems › automotive embedded systems
automotive software
0.312018
Dynamic vehicle software with AUTOCONT · DAC 2018
Embedded and real-time systems
dynamic software update
0.312018
Dynamic vehicle software with AUTOCONT · DAC 2018
Software maintenance and evolution › software evolution › software adaptation
software reconfiguration
0.112018
Dynamic vehicle software with AUTOCONT · DAC 2018
YearPublicationVenuePosition
2022 Heuristic Risk Treatment for ISO/SAE 21434 Development Projects
abstract
Due to new technologies for connectivity, automotive systems shift from a closed to an open system approach.Therefore, automotive systems have a rising demand for security, letting security be an upcoming field in research and practice.Also, the newly published process standard ISO/SAE 21434 demands adjustments in the development process to address cybersecurity.The unique characteristics of automotive systems leave many approaches from other system types inapplicable.This work concentrates on the risk treatment step in the cybersecurity development process.Due to the vast amount of differing terminology, we see the need to define a flexible taxonomy adaptable to several system types and used in systems with normative references.We use this taxonomy to develop a heuristic approach for risk treatment based on a distinct terminology for security requirements.The presented method is extendable to include several trade-off points.
Christine Jakobs, Matthias Werner 0001, Karsten Schmidt 0003, Gerhard Hansch
FedCSIS3
2018 Dynamic vehicle software with AUTOCONT
abstract
Future automotive software needs to deal with an increasing level of dynamicity, reasoned by the wish for connected driving, software updates, and dynamic feature activation. Such functionalities cannot be properly realized with today's classic AUTOSAR development approach, since it relies on the static configuration of all software units at build time.
Christine Jakobs, Peter Tröger, Matthias Werner 0001, Philipp Mundhenk, Karsten Schmidt 0003
DAC5
2017 On Using TLS to Secure In-Vehicle Networks
abstract
A trend in modern in-vehicle networks is the use of network technologies with higher bandwidth such as Automotive Ethernet. As a result, more sophisticated security technologies may be used to secure the communication. In this paper, we investigate whether the Transport Layer Security Protocol (TLS) is applicable to secure in-vehicle networks. First, we identify the security and performance requirements as well as the communication scenarios which must be supported by the TLS communication. Next, we discuss how these requirements can be realized with TLS. This also includes the discussion of the certificate management. Finally, we present and discuss our prototypical TLS implementation on a typical automotive platform and show that TLS is able to fulfill most performance requirements of the automotive industry.
Daniel Zelle, Christoph Krauß, Hubert Strauß, Karsten Schmidt 0003
ARES4