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

1 citations · 2 across the 16 of their papers we have counts for

collaborators

16 papers

cs.CR2021

Cyber Taxi: A Taxonomy of Interactive Cyber Training and Education Systems

Marcus Knüpfer, Tore Bierwirth, Lars Stiemert +4

The lack of guided exercises and practical opportunities to learn about cybersecurity in a practical way makes it difficult for security experts to improve their proficiency. Captu…

cs.CR2021

Selective Deletion in a Blockchain

Peter Hillmann, Marcus Knüpfer, Erik Heiland +1

The constantly growing size of blockchains becomes a challenge with the increasing usage. Especially the storage of unwanted data in a blockchain is an issue, because it cannot be…

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.NI20201 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…