Results 31 to 40 of about 5,558 (210)

Deep learning based Sequential model for malware analysis using Windows exe API Calls [PDF]

open access: yesPeerJ Computer Science, 2020
Malware development has seen diversity in terms of architecture and features. This advancement in the competencies of malware poses a severe threat and opens new research dimensions in malware detection.
Ferhat Ozgur Catak   +3 more
doaj   +2 more sources

Malware Family Classification via Residual Prefetch Artifacts [PDF]

open access: yes, 2022
Automated malware classification assigns unknown malware to known families. Most research in malware classification assumes that the defender has access to the malware for analysis. Unfortunately, malware can delete itself after execution.
Taylor, Teryl   +2 more
core   +1 more source

Efficient Windows malware identification and classification scheme for plant protection information systems

open access: yesFrontiers in Plant Science, 2023
Due to developments in science and technology, the field of plant protection and the information industry have become increasingly integrated, which has resulted in the creation of plant protection information systems.
Zhiguo Chen   +5 more
doaj   +1 more source

Multiple instance learning for malware classification [PDF]

open access: yesExpert Systems with Applications, 2018
This work addresses classification of unknown binaries executed in sandbox by modeling their interaction with system resources (files, mutexes, registry keys and communication with servers over the network) and error messages provided by the operating system, using vocabulary-based method from the multiple instance learning paradigm.
Jan Stiborek   +2 more
openaire   +2 more sources

AFAgarap/malware-classification v0.1-alpha [PDF]

open access: yes, 2017
<p>Code implementation of "Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification"</p ...
Abien Fred Agarap
core   +1 more source

Classification of packet contents for malware detection [PDF]

open access: yes, 2011
Many existing schemes for malware detection are signature-based. Although they can effectively detect known malwares, they cannot detect variants of known malwares or new ones.
Lhee, Kyung-suk   +3 more
core   +1 more source

FastText-Based Local Feature Visualization Algorithm for Merged Image-Based Malware Classification Framework for Cyber Security and Cyber Defense

open access: yesMathematics, 2020
The importance of cybersecurity has recently been increasing. A malware coder writes malware into normal executable files. A computer is more likely to be infected by malware when users have easy access to various executables.
Sejun Jang, Shuyu Li, Yunsick Sung
doaj   +1 more source

Efficient Malware Classification by Binary Sequences with One-Dimensional Convolutional Neural Networks

open access: yesMathematics, 2022
The rapid increase of malware attacks has become one of the main threats to computer security. Finding the best way to detect malware has become a critical task in cybersecurity. Previous work shows that machine learning approaches could be a solution to
Wei-Cheng Lin, Yi-Ren Yeh
doaj   +1 more source

Generative Adversarial Network for Global Image-Based Local Image to Improve Malware Classification Using Convolutional Neural Network

open access: yesApplied Sciences, 2020
Malware detection and classification methods are being actively developed to protect personal information from hackers. Global images of malware (in a program that includes personal information) can be utilized to detect or classify it.
Sejun Jang, Shuyu Li, Yunsick Sung
doaj   +1 more source

Android malware family classification based on resource consumption over time [PDF]

open access: yes, 2017
The vast majority of today's mobile malware targets Android devices. This has pushed the research effort in Android malware analysis in the last years.
Baldoni, R.   +17 more
core   +1 more source

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