activity
20202024
most citedTowards Cognitive Bots: Architectural Research Challenges

6 citations · 16 across the 28 of their papers we have counts for

collaborators
Showing 2020Show all

14 papers · 1 filter

cs.CY2020

NERD: Neural Network for Edict of Risky Data Streams

Sandro Passarelli, Cem Gündogan, Lars Stiemert +2

Cyber incidents can have a wide range of cause from a simple connection loss to an insistent attack. Once a potential cyber security incidents and system failures have been identif…

cs.CR2020

Agile Approach for IT Forensics Management

Matthias Schopp, Peter Hillmann

The forensic investigation of cyber attacks and IT incidents is becoming increasingly difficult due to increasing complexity and intensify networking. Especially with Advanced Atta…

cs.NI2020★ 1 cited

Dragoon: Advanced Modelling of IP Geolocation by use of Latency Measurements

Peter Hillmann, Lars Stiemert, Gabi Dreo Rodosek +1

IP Geolocation is a key enabler for many areas of application like determination of an attack origin, targeted advertisement, and Content Delivery Networks. Although IP Geolocation…

cs.DC2020

A Novel Approach to Solve K-Center Problems with Geographical Placement

Peter Hillmann, Tobias Uhlig, Gabi Dreo Rodosek +1

The facility location problem is a well-known challenge in logistics that is proven to be NP-hard. In this paper we specifically simulate the geographical placement of facilities t…

cs.DC2020

Evaluation of the general applicability of Dragoon for the k-center problem

Tobias Uhlig, Peter Hillmann, Oliver Rose

The k-center problem is a fundamental problem we often face when considering complex service systems. Typical challenges include the placement of warehouses in logistics or positio…

cs.NI2020

Modeling the Location Selection of Mirror Servers in Content Delivery Networks

Peter Hillmann, Tobias Uhlig, Gabi Dreo Rodosek +1

For a provider of a Content Delivery Network (CDN), the location selection of mirror servers is a complex optimization problem. Generally, the objective is to place the nodes centr…

cs.NI2020

Simulation and Optimization of Content Delivery Networks considering User Profiles and Preferences of Internet Service Providers

Peter Hillmann, Tobias Uhlig, Gabi Dreo Rodosek +1

A Content Delivery Network (CDN) is a dynamic and complex service system. It causes a huge amount of traffic on the network infrastructure of Internet Service Providers (ISPs). Oft…

physics.soc-ph2020

Optimized Travel to Meetings on a Common Location of Geographical Distributed Participants

Peter Hillmann, Bastian Kühnel, Tobias Uhlig +2

Members of international organizations often meet in person at a common location for discussions. There is frequently disagreement over the place and time of the meeting due to the…

cs.SE2020

YANG2UML: Bijective Transformation and Simplification of YANG to UML

Mario Golling, Robert Koch, Peter Hillmann +2

Software Defined Networking is currently revolutionizing computer networking by decoupling the network control (control plane) from the forwarding functions (data plane) enabling t…

cs.CY2020

On the Evaluation of Military Simulations: Towards A Taxonomy of Assessment Criteria

Mario Golling, Robert Koch, Peter Hillmann +3

In the area of military simulations, a multitude of different approaches is available. Close Combat Tactical Trainer, Joint Tactical Combat Training System, Battle Force Tactical T…

cs.NI2020

Tracemax: A Novel Single Packet IP Traceback Strategy for Data-Flow Analysis

Peter Hillmann, Frank Tietze, Gabi Dreo Rodosek

The identification of the exact path that packets are routed on in the network is quite a challenge. This paper presents a novel, efficient traceback strategy named Tracemax in con…

cs.MA2020

A Novel Multi-Agent System for Complex Scheduling Problems

Peter Hillmann, Tobias Uhlig, Gabi Dreo Rodosek +1

Complex scheduling problems require a large amount computation power and innovative solution methods. The objective of this paper is the conception and implementation of a multi-ag…

cs.NI2020

Modelling of IP Geolocation by use of Latency Measurements

Peter Hillmann, Lars Stiemert, Gabi Dreo Rodosek +1

IP Geolocation is a key enabler for many areas of application like Content Delivery Networks, targeted advertisement and law enforcement. Therefore, an increased accuracy is needed…

cs.NI2020★ 1 cited

On the Path to High Precise IP Geolocation: A Self-Optimizing Model

Peter Hillmann, Lars Stiemert, Gabi Dreo +1

IP Geolocation is a key enabler for the Future Internet to provide geographical location information for application services. For example, this data is used by Content Delivery Ne…