Results 41 to 50 of about 24,379 (232)

E liberaci dal malware

open access: yes, 2022
PublishedGli strumenti tecnologici sono parte integrante della vita quotidiana e proprio per tale ragione è bene che vengano utilizzati in modo sicuro e consapevole. Lo scopo di questa introduzione all’educazione civica digitale è rendere consapevoli gli
RedOpen Factory
core   +1 more source

Task-Aware Meta Learning-Based Siamese Neural Network for Classifying Control Flow Obfuscated Malware

open access: yesFuture Internet, 2023
Malware authors apply different techniques of control flow obfuscation, in order to create new malware variants to avoid detection. Existing Siamese neural network (SNN)-based malware detection methods fail to correctly classify different malware ...
Jinting Zhu   +4 more
doaj   +1 more source

Reanimating Historic Malware Samples

open access: yes, 2020
Many types of malicious software are controlled from an attacker’s command and control (C2) servers. Anti-virus organizations seek to defeat malware attacks by requesting removal of C2 server Domain Name Server (DNS) records.
Iqbal Gondal   +7 more
core   +1 more source

Securing Linux Cloud Environments: Privacy-Aware Federated Learning Framework for Advanced Malware Detection in Linux Clouds

open access: yesIEEE Access
Cloud computing is integral to modern IT infrastructure, with Linux-based virtual machines (VMs) comprising 95% of public cloud environments. This widespread use makes Linux VMs a prime target for cyberattacks, particularly advanced malware designed for ...
Tom Landman, Nir Nissim
doaj   +1 more source

Intelligent Vision-Based Malware Detection and Classification Using Deep Random Forest Paradigm

open access: yesIEEE Access, 2020
Malware is a rapidly increasing menace to modern computing. Malware authors continually incorporate various sophisticated features like code obfuscations to create malware variants and elude detection by existing malware detection systems.
S. Abijah Roseline   +3 more
doaj   +1 more source

Demystifying Malware Image Visualization: Enhancing Reproducibility and Explainability [PDF]

open access: yes, 2023
openL'aumento persistente dei malware riscontrati nel mondo digitale ha rappresentato un ostacolo continuo per i ricercatori nell'ambito della sicurezza informatica, dall'avvento dei personal computer fino ai giorni nostri.
BROSOLO, MATTEO
core  

Effective and Reliable Malware Group Classification for a Massive Malware Environment

open access: yesInternational Journal of Distributed Sensor Networks, 2016
Most of the cyber-attacks are caused by malware, and damage from them has escalated from cyber space to home appliances and infrastructure, thus affecting the daily living of the people. As such, anticipative analysis and countermeasures for malware have
Taejin Lee, Jin Kwak
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

Malware lineage in the wild

open access: yesComputers & Security, 2018
Malware lineage studies the evolutionary relationships among malware and has important applications for malware analysis. A persistent limitation of prior malware lineage approaches is to consider every input sample a separate malware version. This is problematic since a majority of malware are packed and the packing process produces many polymorphic ...
Irfan Ul Haq   +3 more
openaire   +2 more sources

Reverse Engineering untuk Analisis Malware Remote Access Trojan

open access: yesJEPIN (Jurnal Edukasi dan Penelitian Informatika), 2019
Para hacker menggunakan malware Remote Access Trojan untuk merusak sistem kemudian mencuri data para korbannya. Diperlukan analisis mendalam mengenai malware baru-baru ini karena malware dapat berkamuflase seperti sistem tidak dicurigai.
Tesa Pajar Setia   +2 more
doaj   +1 more source

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