Didroid: Android malware classification and characterization using deep image learning
The unrivaled threat of android malware is the root cause of various security problems on
the internet. Although there are remarkable efforts in detection and classification of android …
the internet. Although there are remarkable efforts in detection and classification of android …
Explaining ai for malware detection: Analysis of mechanisms of malconv
In recent years, machine learning has been used in a very wide variety of applications and
malware detection is no exception. Because of its fast and widespread adaptation to various …
malware detection is no exception. Because of its fast and widespread adaptation to various …
An optimized KNN model for signature-based malware detection
TA Assegie - Tsehay Admassu Assegie." An Optimized KNN Model …, 2021 - papers.ssrn.com
Malware is a computer program developed with the intent of disrupting, stealing, and
compromising a computer system. In recent advances in technology and internet use …
compromising a computer system. In recent advances in technology and internet use …
[HTML][HTML] IMCMK-CNN: A lightweight convolutional neural network with Multi-scale Kernels for Image-based Malware Classification
D Zhang, Y Song, Q **ang, Y Wang - Alexandria Engineering Journal, 2025 - Elsevier
Rapid and accurate identification of unknown malware and its variants is the premise and
basis for the effective prevention of malicious attacks. However, with the explosive growth of …
basis for the effective prevention of malicious attacks. However, with the explosive growth of …
Improving classification performance for malware detection using genetic programming feature selection techniques
Malware is the term used to describe any malicious software or code that is harmful to
systems. From day to day, new malicious programs appear. To classify malware according …
systems. From day to day, new malicious programs appear. To classify malware according …
Experience Report: Using JA4+ Fingerprints for Malware Detection in Encrypted Traffic
Detection of malware communications is limited due to encryption. Malware control,
updates, and distribution are encapsulated in TLS tunnels, making it difficult to distinguish …
updates, and distribution are encapsulated in TLS tunnels, making it difficult to distinguish …
[BOOK][B] Towards explainability in machine learning for Malware detection
S Bose - 2020 - search.proquest.com
Malware has crippled computer systems, caused financial losses on the order of billions of
dollars and denied access to services for millions of users worldwide. Detecting malware …
dollars and denied access to services for millions of users worldwide. Detecting malware …
Detection technology of malicious code family based on BiLSTM-CNN
G Wang, T Lu, H Yin - Journal of Physics: Conference Series, 2020 - iopscience.iop.org
The explosive growth of the number of malicious code makes it one of the important threats
to network security. Among them, a new type of malicious code family accounts for a small …
to network security. Among them, a new type of malicious code family accounts for a small …
[BOOK][B] Application Whitelisting as a Malicious Code Protection Control
GR Galloway - 2020 - search.proquest.com
Malicious code protection is often seen as synonymous with antivirus. Antivirus is a form of a
negative security control. Much of the current and historical research into malicious code …
negative security control. Much of the current and historical research into malicious code …
NBP-MS: Malware Signature Generation Based on Network Behavior Profiling
Z Shi, X Wang, P Liu - 2022 26th International Conference on …, 2022 - ieeexplore.ieee.org
With the proliferation of malware, the detection and classification of malware have been hot
topics in the academic and industrial circles of cyber security, and the generation of malware …
topics in the academic and industrial circles of cyber security, and the generation of malware …