activity
20202026
most citedRealizable Universal Adversarial Perturbations for Malware

6 citations · 8 across the 12 of their papers we have counts for

collaborators
Showing 2020Show all

8 papers · 1 filter

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.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.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…