loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Matan Davidian ; Natalia Vanetik and Michael Kiperberg

Affiliation: Shamoon College of Engineering, Beer Sheva, Israel

Keyword(s): Dynamic Analysis, Malware Detection, Neural Networks, Ransomware.

Abstract: The number of reported malware and their average identification time increases each year, thus increasing the mitigation cost. Static analysis techniques cannot reliably detect polymorphic and metamorphic malware, while dynamic analysis is more effective in detecting advanced malware, especially when the analysis is performed using machine-learning techniques. This paper presents a novel approach for the detection of ransomware, a particular type of malware. The approach uses word embeddings to represent system call features and deep neural networks such as Convolutional Neural Networks (CNN) and Long Short-Term Memory Networks (LSTM). The evaluation, performed on two datasets, shows that the described approach achieves a detection rate of over 99% for ransomware samples.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 2a06:98c0:3600::103

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Davidian, M.; Vanetik, N. and Kiperberg, M. (2022). Ransomware Detection with Deep Neural Networks. In Proceedings of the 8th International Conference on Information Systems Security and Privacy - ICISSP; ISBN 978-989-758-553-1; ISSN 2184-4356, SciTePress, pages 656-663. DOI: 10.5220/0011008000003120

@conference{icissp22,
author={Matan Davidian. and Natalia Vanetik. and Michael Kiperberg.},
title={Ransomware Detection with Deep Neural Networks},
booktitle={Proceedings of the 8th International Conference on Information Systems Security and Privacy - ICISSP},
year={2022},
pages={656-663},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011008000003120},
isbn={978-989-758-553-1},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Information Systems Security and Privacy - ICISSP
TI - Ransomware Detection with Deep Neural Networks
SN - 978-989-758-553-1
IS - 2184-4356
AU - Davidian, M.
AU - Vanetik, N.
AU - Kiperberg, M.
PY - 2022
SP - 656
EP - 663
DO - 10.5220/0011008000003120
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: [email protected]

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic