Results 41 to 50 of about 22,040,867 (216)
SAMADroid: A Novel 3-Level Hybrid Malware Detection Model for Android Operating System
For the last few years, Android is known to be the most widely used operating system and this rapidly increasing popularity has attracted the malware developer's attention.
Saba Arshad +5 more
doaj +1 more source
ABSTRACT Corporations increasingly use Environmental, Social, and Governance (ESG) reports to articulate their commitments, priorities, and performance in sustainability governance. This study examines how Korean firms have configured and reconfigured their sustainability discourses across industries and time using 634 sustainability reports (2014–2024)
Taedong Lee +3 more
wiley +1 more source
Modelling Critical Impeding Factors of Gamification Adoption: An ISM‐MICMAC Analysis
ABSTRACT Gamification is a transformative technology that attracts consumers and motivates them toward desired actions through fun and engagement. Despite its growing popularity and influence on user behavior, gamification faces significant challenges in acceptance and implementation due to behavioral, technological, economic, and regulatory factors ...
Wamika Sharma +4 more
wiley +1 more source
Learning and classification of malware behavior
S.108-125Malicious software in form of Internet worms, computer viruses, and Trojan horses poses a major threat to the security of networked systems. The diversity and amount of its variants severely undermine the effectiveness of classical signature ...
Düssel, P. +4 more
core +1 more source
Sisyfos: A Modular and Extendable Open Malware Analysis Platform
Sisyfos is a modular and extensible platform for malware analysis; it addresses multiple operating systems, including critical infrastructure ones. Its purpose is to enable the development and evaluation of new tools as well as the evaluation of malware ...
Dimitrios Serpanos +3 more
doaj +1 more source
Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions
ABSTRACT Context The rapid increase in cyber threats, coupled with increasingly sophisticated attack strategies and the exponential growth of data in recent years, has exposed significant limitations in classical machine learning, rule‐based, and signature‐based defense mechanisms.
Siva Sai +5 more
wiley +1 more source
Boutique Malware – Custom made for e-business [PDF]
Malware are typically known through extensive publicity in the media when incidents such as infection by Conficker on the computers around the globe. Such Malware infects all who are vulnerable to its bite.
Fung, C.C., Pan, J.Y.
core
Dynamic Analysis for IoT Malware Detection With Convolution Neural Network Model
Internet of Things (IoT) technology provides the basic infrastructure for a hyper connected society where all things are connected and exchange information through the Internet.
Jueun Jeon +2 more
doaj +1 more source
Bayesian Active Malware Analysis
We propose a novel technique for Active Malware Analysis (AMA) formalized as a Bayesian game between an analyzer agent and a malware agent, focusing on the decision making strategy for the analyzer. In our model, the analyzer performs an action on the system to trigger the malware into showing a malicious behavior, i.e., by activating its payload.
Riccardo Sartea +3 more
openaire +3 more sources
Analysis of Malware Propagation in Twitter [PDF]
Malware propagation in social networks is a potential risk that has not been well-studied yet as there are no formal threat models for social networks. In this paper we investigate the vulnerability and cost of spreading malware via Twitter. Towards this end we present three specific attack scenarios targeted for Twitter and systematically analyze the ...
Ameya Sanzgiri +2 more
openaire +1 more source

