Results 51 to 60 of about 81,305 (190)

Android Malware Family Classification Based on Resource Consumption over Time

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.
Aniello, Leonardo   +5 more
core   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

open access: yesAI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury   +2 more
wiley   +1 more source

Defending against OS-Level Malware in Mobile Devices via Real-Time Malware Detection and Storage Restoration

open access: yesJournal of Cybersecurity and Privacy, 2022
Combating the OS-level malware is a very challenging problem as this type of malware can compromise the operating system, obtaining the kernel privilege and subverting almost all the existing anti-malware tools.
Niusen Chen, Bo Chen
doaj   +1 more source

Eight years of rider measurement in the Android malware ecosystem: evolution and lessons learned [PDF]

open access: yes, 2018
Despite the growing threat posed by Android malware, the research community is still lacking a comprehensive view of common behaviors and trends exposed by malware families active on the platform.
Stringhini, Gianluca   +1 more
core  

Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers

open access: yes, 2018
In this paper, we present a black-box attack against API call based machine learning malware classifiers, focusing on generating adversarial sequences combining API calls and static features (e.g., printable strings) that will be misclassified by the ...
G Tandon   +4 more
core   +1 more source

Sustainability Challenges to the Steel Industry in a Developing Country: Sanctions and Security Issues at the Forefront

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This article contributes to sustainability research by investigating the complex, geopolitically induced challenges faced by industrial supply chains under international sanctions. Using Iran's steel industry as a case, it examines sustainability barriers through the lens of stakeholder theory. A mixed methods approach was employed.
Seyed Hamed Moosavirad   +2 more
wiley   +1 more source

Malware vs Anti-Malware Battle - Gotta Evade ‘em All! [PDF]

open access: yes2020 IEEE Symposium on Visualization for Cyber Security (VizSec), 2020
The landscape of malware development is ever-changing, creating a constant catch-up contest between the defenders and the adversaries. One of the methodologies that has the potential to pose a significant threat to systems is malware evasion. This is where malware tries to determine whether it is run in a controlled environment, such as a sandbox ...
Chaffey, E., Sgandurra, D.
openaire   +1 more source

Android malware detection and identification frameworks by leveraging the machine and deep learning techniques: A comprehensive review

open access: yesTelematics and Informatics Reports
The ever-increasing growth of online services and smart connectivity of devices have posed the threat of malware to computer system, android-based smart phones, Internet of Things (IoT)-based systems.
Santosh K. Smmarwar   +2 more
doaj   +1 more source

A Review of Overcurrent Protection in Smart Grids Under Cyber‐Physical Threats With a Cyber‐Physical Evaluation Framework

open access: yesEnergy Science &Engineering, EarlyView.
By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali   +6 more
wiley   +1 more source

Android Malware Clustering through Malicious Payload Mining

open access: yes, 2017
Clustering has been well studied for desktop malware analysis as an effective triage method. Conventional similarity-based clustering techniques, however, cannot be immediately applied to Android malware analysis due to the excessive use of third-party ...
I Santos   +7 more
core   +1 more source

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