Výsledky vyhledávání - "Arthur Drichel"

CoinPrune: Shrinking Bitcoin's Blockchain Retrospectively

Autor: Martin Henze, Arthur Drichel, Benedikt Kalde, Roman Matzutt, Jan Pennekamp, Klaus Wehrle

Popular cryptocurrencies continue to face serious scalability issues due to their ever-growing blockchains. Thus, modern blockchain designs began to prune old blocks and rely on recent snapshots for their bootstrapping processes instead. Unfortunatel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ed905205aa32f185232b2a77d47fae5
http://arxiv.org/abs/2111.13525

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The More, the Better

Autor: Benedikt Holmes, Ulrike Meyer, Justus von Brandt, Arthur Drichel

Publikováno v: CYSARM@CCS
New York,NY : ACM, ACM Conferences 1-12 (2021). doi:10.1145/3474374.3486915
Proceedings of the 3rd Workshop on Cyber-Security Arms Race / Chen, Liqun
Proceedings of the 3rd Workshop on Cyber-Security Arms Race / Chen, Liqun3. Workshop on Cyber-Security Arms Race, CYSARM '21, online, 2021-11-19-2021-11-19

Domain generation algorithms (DGAs) prevent the connection between a botnet and its master from being blocked by generating a large number of domain names. Promising single-data-source approaches have been proposed for separating benign from DGA-gene

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40bc70ea3ef4833e54425e12973df2cd
https://doi.org/10.1145/3474374.3486915

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Finding Phish in a Haystack: A Pipeline for Phishing Classification on Certificate Transparency Logs

Autor: Justus von Brandt, Ulrike Meyer, Arthur Drichel, Vincent Drury

Publikováno v: ARES
New York, NY : The Association for Computing Machinery 12 Seiten (2021). doi:10.1145/3465481.3470111
ARES 2021 : the 16th International Conference on Availability, Reliability and Security, Vienna, Austria, August 17-20, 2021
ARES 2021 : the 16th International Conference on Availability, Reliability and Security, Vienna, Austria, August 17-20, 202116. International Conference on Availability, Reliability and Security, ARES 2021, online, 2021-08-17-2021-08-20
The 16th International Conference on Availability, Reliability and Security

Current popular phishing prevention techniques mainly utilize reactive blocklists, which leave a ``window of opportunity'' for attackers during which victims are unprotected. One possible approach to shorten this window aims to detect phishing attack

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8d16d8fc3ac3d15775542ef6861b3e5
https://doi.org/10.1145/3465481.3470111

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First Step Towards EXPLAINable DGA Multiclass Classification

Autor: Ulrike Meyer, Arthur Drichel, Nils Faerber

Publikováno v: New York, NY : The Association for Computing Machinery 13 Seiten (2021). doi:10.1145/3465481.3465749
ARES 2021 : the 16th International Conference on Availability, Reliability and Security, Vienna, Austria, August 17-20, 2021
ARES 2021 : the 16th International Conference on Availability, Reliability and Security, Vienna, Austria, August 17-20, 202116. International Conference on Availability, Reliability and Security, ARES 2021, online, 2021-08-17-2021-08-20
The 16th International Conference on Availability, Reliability and Security
ARES

Numerous malware families rely on domain generation algorithms (DGAs) to establish a connection to their command and control (C2) server. Counteracting DGAs, several machine learning classifiers have been proposed enabling the identification of the D

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2f1e7bdfe7ae206f50dea56e23a67f6
http://arxiv.org/abs/2106.12336

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Interpretable Visualizations of Deep Neural Networks for Domain Generation Algorithm Detection

Autor: Arthur Drichel, Christoph Müller, Franziska Becker, Thomas Ertl

Publikováno v: VizSec
2020 IEEE Symposium on Visualization for Cyber Security (VizSec)
Piscataway, NJ : IEEE 25-29 (2020). doi:10.1109/VizSec51108.2020.00010
2020 IEEE Symposium on Visualization for Cyber Security (VizSec) : VizSec 2020 : virtual, October 28, 2020 / editors: Jörn Kohlhammer (general chair), Marco Angelini (program chair), Chris Bryan (program chair), Rosa Romero-Gómez (publications chair), Nicolas Prigent (publicity chair) ; IEEE
2020 IEEE Symposium on Visualization for Cyber Security (VizSec) : VizSec 2020 : virtual, October 28, 2020 / editors: Jörn Kohlhammer (general chair), Marco Angelini (program chair), Chris Bryan (program chair), Rosa Romero-Gómez (publications chair), Nicolas Prigent (publicity chair) ; IEEE17. IEEE Symposium on Visualization for Cyber Security, VizSec, online, 2020-10-28-2020-10-28

Due to their success in many application areas, deep learning models have found wide adoption for many problems. However, their black-box nature makes it hard to trust their decisions and to evaluate their line of reasoning. In the field of cybersecu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89bbda22126517fb729a568a4e0669c8
https://doi.org/10.1109/vizsec51108.2020.00010

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Making use of NXt to nothing - the effect of class imbalances on DGA detection classifiers

Autor: Arthur Drichel, Dominik Teubert, Samuel Schüppen, Ulrike Meyer

Publikováno v: Proceedings of the 15th International Conference on Availability, Reliability and Security
ARES
New York, New York : The Association for Computing Machinery, ACM other conferences (2020). doi:10.1145/3407023.3409190
ARES 2020 : 15th International Conference on Availability, Reliability and Security : August 25-August 28, 2020, all-digital conference / organized by SBA Research
ARES 2020 : 15th International Conference on Availability, Reliability and Security : August 25-August 28, 2020, all-digital conference / organized by SBA ResearchARES 2020: The 15. International Conference on Availability, Reliability and Security, ARES 2020, online, 2020-08-25-2020-08-28

Numerous machine learning classifiers have been proposed for binary classification of domain names as either benign or malicious, and even for multiclass classification to identify the domain generation algorithm (DGA) that generated a specific domai

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb7a8c6d9fc4c61707d64226e2424cd2

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Analyzing the real-world applicability of DGA classifiers

Autor: Arthur Drichel, Ulrike Meyer, Dominik Teubert, Samuel Schüppen

Publikováno v: Proceedings of the 15th International Conference on Availability, Reliability and Security
ARES
New York, New York : The Association for Computing Machinery, ACM other conferences (2020). doi:10.1145/3407023.3407030
ARES 2020 : 15th International Conference on Availability, Reliability and Security : August 25-August 28, 2020, all-digital conference / organized by SBA Research
ARES 2020 : 15th International Conference on Availability, Reliability and Security : August 25-August 28, 2020, all-digital conference / organized by SBA ResearchARES 2020: The 15. International Conference on Availability, Reliability and Security, ARES 2020, online, 2020-08-25-2020-08-28

Separating benign domains from domains generated by DGAs with the help of a binary classifier is a well-studied problem for which promising performance results have been published. The corresponding multiclass task of determining the exact DGA that g

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ede5ab96ca964973d18a9aa23eabf750

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CloudAnalyzer: Uncovering the Cloud Usage of Mobile Apps

Autor: Klaus Wehrle, Arthur Drichel, Jan Henrik Ziegeldorf, Martin Henze, Jan Pennekamp, David Hellmanns, Erik Muhmer

Publikováno v: MobiQuitous

Developers of smartphone apps increasingly rely on cloud services for ready-made functionalities, e.g., to track app usage, to store data, or to integrate social networks. At the same time, mobile apps have access to various private information, rang

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ba4cacf13d34e06d6c9f1a00dced6ff
https://doi.org/10.4108/eai.7-11-2017.2273742

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