Frank Kargl

Frank Kargl

Universität Ulm

H-index: 51

Europe-Germany

About Frank Kargl

Frank Kargl, With an exceptional h-index of 51 and a recent h-index of 33 (since 2020), a distinguished researcher at Universität Ulm, specializes in the field of Computer Science, IoT, Security, Privacy, Automotive Security.

His recent articles reflect a diverse array of research interests and contributions to the field:

Network Attack Detection and Defense-AI-Powered Threats and Responses (Dagstuhl Seminar 23431)

Combining Cyber Security Intelligence to Refine Automotive Cyber Threats

Privacy Protection of Automated and Self-Driving Vehicles (Dagstuhl Seminar 23242)

Zero Trust Score-based Network-level Access Control in Enterprise Networks

The Internet of Vehicles (IoV)—Security, Privacy, Trust, and Reputation Management for Connected Vehicles

Survey of model-based security testing approaches in the automotive domain

Privacy of Smart Traffic Lights Systems

Evaluation of Free and Open Source Tools for Automated Software Composition Analysis

Frank Kargl Information

University

Position

Professor of Computer Science

Citations(all)

11489

Citations(since 2020)

4917

Cited By

8531

hIndex(all)

51

hIndex(since 2020)

33

i10Index(all)

156

i10Index(since 2020)

95

Email

University Profile Page

Google Scholar

Frank Kargl Skills & Research Interests

Computer Science

IoT

Security

Privacy

Automotive Security

Top articles of Frank Kargl

Title

Journal

Author(s)

Publication Date

Network Attack Detection and Defense-AI-Powered Threats and Responses (Dagstuhl Seminar 23431)

Sven Dietrich

Frank Kargl

Hartmut König

Pavel Laskov

Artur Hermann

2024

Combining Cyber Security Intelligence to Refine Automotive Cyber Threats

ACM Transactions on Privacy and Security

Florian Sommer

Mona Gierl

Reiner Kriesten

Frank Kargl

Eric Sax

2024

Privacy Protection of Automated and Self-Driving Vehicles (Dagstuhl Seminar 23242)

Frank Kargl

Ioannis Krontiris

Jason Millar

André Weimerskirch

Kevin Gomez

2024

Zero Trust Score-based Network-level Access Control in Enterprise Networks

arXiv preprint arXiv:2402.08299

Leonard Bradatsch

Oleksandr Miroshkin

Natasa Trkulja

Frank Kargl

2024/2/13

The Internet of Vehicles (IoV)—Security, Privacy, Trust, and Reputation Management for Connected Vehicles

IEEE Internet of Things Magazine

Adam Drobot

Tao Zhang

Mary Lynn Buonarosa

Frank Kargl

Steve Schwinke

...

2023/6/6

Survey of model-based security testing approaches in the automotive domain

IEEE Access

Florian Sommer

Reiner Kriesten

Frank Kargl

2023/6/2

Privacy of Smart Traffic Lights Systems

Artur Hermann

Michael Wolf

Nataša Trkulja

Ines Ben Jemaa

Anis Bkakria

...

2023/4/26

Evaluation of Free and Open Source Tools for Automated Software Composition Analysis

Laura Bottner

Artur Hermann

Jeremias Eppler

Thomas Thüm

Frank Kargl

2023/12/5

Survey of Air, Sea, and Road Vehicles Research for Motion Control Security

Oliver Pöllny

Albert Held

Frank Kargl

2023/4/14

ZTSFC: A Service Function Chaining-Enabled Zero Trust Architecture

IEEE Access

Leonard Bradatsch

Oleksandr Miroshkin

Frank Kargl

2023/11/7

In-vehicle trust assessment framework

Nataša Trkulja

Artur Hermann

Ana Petrovska

Alexander Kiening

Anderson Ramon Ferraz de Lucena

...

2023/10/25

Network Message Field Type Classification and Recognition for Unknown Binary Protocols

arXiv preprint arXiv:2301.03584

Stephan Kleber

Milan Stute

Matthias Hollick

Frank Kargl

2022/11/7

Mitigation lost in translation: leveraging threat information to improve privacy solution selection

Ala'a Al-Momani

Christoph Bösch

Kim Wuyts

Laurens Sion

Wouter Joosen

...

2022/4/25

Defining Privacy

Journal of Social Philosophy

Adam D Moore

2008

Feasibility of adversarial attacks on real-world lane detection systems

Gabriel Geck

Dominik Fisch

Vasileios Belagiannis

Frank Kargl

2022/10/21

Why make it hard?-usage of aggregated statistical data for risk assessment of damage scenarios in the context of iso/sae 21434

Procedia CIRP

Sergej Japs

Frank Kargl

Harald Anacker

Roman Dumitrescu

2022/1/1

Privacy in Mobile Sensing

Frank Kargl

Rens W van der Heijden

Benjamin Erb

Christoph Bösch

2019

Refining network message segmentation with principal component analysis

Stephan Kleber

Frank Kargl

2022/10/3

Network message field type clustering for reverse engineering of unknown binary protocols

Stephan Kleber

Frank Kargl

Milan Stute

Matthias Hollick

2022/6/27

Evaluating the Future Device Security Risk Indicator for Hundreds of IoT Devices

Pascal Oser

Felix Engelmann

Stefan Lüders

Frank Kargl

2022/9/29

See List of Professors in Frank Kargl University(Universität Ulm)

Co-Authors

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