TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Gantikow, Holger
A1  - Zöhner, Tom
A1  - Reich, Christoph
T1  - Container Anomaly Detection Using Neural Networks Analyzing System Calls
T2  - 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing : PDP 2020, 11-13 March 2020, Västerås, Sweden
N2  - Container environments permeate all areas of computing, such as HPC, since they are lightweight, efficient, and ease the deployment of software. However, due to the shared host kernel, their isolation is considered to be weak, so additional protection mechanisms are needed.This paper shows that neural networks can be used to do anomaly detection by observing the behavior of containers through system call data. In more detail the detection of anomalies in file and directory paths used by system calls is evaluated to show their advantages and drawbacks.
KW  - Container
KW  - Neuronale Netze
KW  - Anomalieerkennung
Y1  - 2020
SN  - 978-1-7281-6582-0
SB  - 978-1-7281-6582-0
U6  - https://doi.org/10.1109/PDP50117.2020.00069
DO  - https://doi.org/10.1109/PDP50117.2020.00069
SP  - 408
EP  - 412
S1  - 5
ER  -