A comprehensive survey on machine learning techniques for android malware detection
V Kouliaridis, G Kambourakis - Information, 2021 - mdpi.com
Year after year, mobile malware attacks grow in both sophistication and diffusion. As the
open source Android platform continues to dominate the market, malware writers consider it …
open source Android platform continues to dominate the market, malware writers consider it …
Detection approaches for android malware: Taxonomy and review analysis
HHR Manzil, SM Naik - Expert Systems with Applications, 2023 - Elsevier
The main objective of this review is to present an in-depth study of Android malware
detection approaches. This article provides a comprehensive survey of 150 studies on …
detection approaches. This article provides a comprehensive survey of 150 studies on …
Machine learning aided Android malware classification
N Milosevic, A Dehghantanha, KKR Choo - Computers & Electrical …, 2017 - Elsevier
The widespread adoption of Android devices and their capability to access significant
private and confidential information have resulted in these devices being targeted by …
private and confidential information have resulted in these devices being targeted by …
Detecting crypto-ransomware in IoT networks based on energy consumption footprint
Abstract An Internet of Things (IoT) architecture generally consists of a wide range of Internet-
connected devices or things such as Android devices, and devices that have more …
connected devices or things such as Android devices, and devices that have more …
Analysis of ResNet and GoogleNet models for malware detection
We have utilized two distinct models to identify the obscure or new sort of malware in this
paper. GoogleNet and ResNet models are researched and tried which belong to two …
paper. GoogleNet and ResNet models are researched and tried which belong to two …
Leveraging machine learning techniques for windows ransomware network traffic detection
OMK Alhawi, J Baldwin, A Dehghantanha - Cyber threat intelligence, 2018 - Springer
Ransomware has become a significant global threat with the ransomware-as-a-service
model enabling easy availability and deployment, and the potential for high revenues …
model enabling easy availability and deployment, and the potential for high revenues …
Know abnormal, find evil: frequent pattern mining for ransomware threat hunting and intelligence
S Homayoun, A Dehghantanha… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Emergence of crypto-ransomware has significantly changed the cyber threat landscape. A
crypto ransomware removes data custodian access by encrypting valuable data on victims' …
crypto ransomware removes data custodian access by encrypting valuable data on victims' …
A multimodal malware detection technique for Android IoT devices using various features
Internet of things (IoT) is revolutionizing this world with its evolving applications in various
aspects of life such as sensing, healthcare, remote monitoring, and so on. Android devices …
aspects of life such as sensing, healthcare, remote monitoring, and so on. Android devices …
A Cyber-Kill-Chain based taxonomy of crypto-ransomware features
In spite of being just a few years old, ransomware is quickly becoming a serious threat to our
digital infrastructures, data and services. Majority of ransomware families are requesting for …
digital infrastructures, data and services. Majority of ransomware families are requesting for …
LinRegDroid: Detection of Android malware using multiple linear regression models-based classifiers
In this study, a framework for Android malware detection based on permissions is presented.
This framework uses multiple linear regression methods. Application permissions, which are …
This framework uses multiple linear regression methods. Application permissions, which are …