| Title | Using MajorClust Algorithm for Sandbox-Based ATM Security |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Maliszewski, Michal, Boryczka, Urszula |
| Conference Name | 2021 IEEE Congress on Evolutionary Computation (CEC) |
| Date Published | July 2021 |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-8393-0 |
| Keywords | ATM, Big Data, clustering, composability, cyber security, defense, evolutionary computation, evolutionary computing, Filtering, Intrusion Protection, Metrics, Online banking, pubcrawl, resilience, Resiliency, Sandboxing, Software algorithms, software security, Tools, whitelisting, Whitelists, Zero day attacks |
| Abstract | Automated teller machines are affected by two kinds of attacks: physical and logical. It is common for most banks to look for zero-day protection for their devices. The most secure solutions available are based on complex security policies that are extremely hard to configure. The goal of this article is to present a concept of using the modified MajorClust algorithm for generating a sandbox-based security policy based on ATM usage data. The results obtained from the research prove the effectiveness of the used techniques and confirm that it is possible to create a division into sandboxes in an automated way. |
| URL | https://ieeexplore.ieee.org/document/9504862 |
| DOI | 10.1109/CEC45853.2021.9504862 |
| Citation Key | maliszewski_using_2021 |
Using MajorClust Algorithm for Sandbox-Based ATM Security