Timo Hackel | DeepAI

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∙ 03/27/2023

Authenticated and Secure Automotive Service Discovery with DNSSEC and DANE

Automotive softwarization is progressing and future cars are expected to...

0 Mehmet Mueller, et al. ∙

∙ 03/24/2023

Dynamic Service-Orientation for Software-Defined In-Vehicle Networks

Modern In-Vehicle Networks (IVNs) are composed of a large number of devi...

0 Timo Hackel, et al. ∙

∙ 01/03/2022

Secure Time-Sensitive Software-Defined Networking in Vehicles

Current designs of future In-Vehicle Networks (IVN) prepare for switched...

0 Timo Hackel, et al. ∙

∙ 12/21/2021

Network Anomaly Detection in Cars: A Case for Time-Sensitive Stream Filtering and Policing

Connected cars are vulnerable to cyber attacks. Security challenges aris...

0 Philipp Meyer, et al. ∙

∙ 10/01/2021

Simulation-based Evaluation of a Synchronous Transaction Model for Time-Sensitive Software-Defined Networks

Real-time networks based on Ethernet require robust quality-of-service f...

0 Tobias Haugg, et al. ∙

∙ 10/08/2020

Strategies for Integrating Controls Flows in Software-Defined In-Vehicle Networks and Their Impact on Network Security

Current In-Vehicle Networks (IVNs) connect Electronic Control Units (ECU...

0 Timo Hackel, et al. ∙

∙ 11/05/2019

A QoS Aware Approach to Service-Oriented Communication in Future Automotive Networks

Service-Oriented Architecture (SOA) is about to enter automotive network...

0 Mehmet Çakır, et al. ∙

∙ 08/26/2019

SDN4CoRE: A Simulation Model for Software-Defined Networking for Communication over Real-Time Ethernet

Ethernet has become the next standard for automotive and industrial auto...

0 Timo Hackel, et al. ∙

∙ 08/26/2019

DoS Protection through Credit Based Metering – Simulation Based Evaluation for Time-Sensitive Networking in Cars

Ethernet is the most promising solution to reduce complexity and enhance...

0 Philipp Meyer, et al. ∙

∙ 03/19/2019

Software-Defined Networks Supporting Time-Sensitive In-Vehicular Communication

Future in-vehicular networks will be based on Ethernet. The IEEE Time-Se...

0 Timo Hackel, et al. ∙

∙ 01/31/2018

Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in Convolutional Networks

While CNNs naturally lend themselves to densely sampled data, and sophis...

0 Timo Hackel, et al. ∙

∙ 04/12/2017

Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark

This paper presents a new 3D point cloud classification benchmark data s...

0 Timo Hackel, et al. ∙

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