Results 1 to 10 of about 12,725 (233)
SAMADroid: A Novel 3-Level Hybrid Malware Detection Model for Android Operating System
IEEE Access, 2018 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
Comparison of Supervised Machine Learning Algorithms for Malware Detection
Journal of Computing Research and Innovation, 2023 Due to the prevalence of security issues and cyberattacks, cybersecurity is crucial in today's environment. Malware has also evolved significantly over the past few years.
Mohd Faris Mohd Fuzi +3 more
doaj +1 more source
AI &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
Business 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
Enhanced Metamorphic Techniques-A Case Study Against Havex Malware
IEEE Access, 2021 Most of the commercial antiviruses are signature based, that is, they use existing database signature to detect the malware. Malware authors use code obfuscation techniques in their variety of malware with the aim of bypassing detection by antiviruses ...
Zainub Mumtaz +4 more
doaj +1 more source
Energy 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
Cryptomining Malware Early Detection Method Based on AECD Embedding [PDF]
Jisuanji kexue yu tansuoCryptomining malware can compromise system security, reduce hardware lifetime, and cause significant power consumption. Therefore, implementing cryptomining malware early detection to stop its damage in time is critical to system security.
CAO Chuanbo, GUO Chun, LI Xianchao, SHEN Guowei
doaj +1 more source
A Comprehensive Review of AI‐Powered Energy Systems
Energy Science &Engineering, EarlyView.The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo +5 more
wiley +1 more source
Windows Malware Detection Under the Machine Learning Models and Neutrosophic Numbers [PDF]
Neutrosophic Sets and SystemsSignificant cybersecurity risks are posed by malware assaults on Windows computers, which call for efficient detection and prevention systems.
Alber S. Aziz +5 more
doaj +1 more source
Major Cybersecurity Breaches: Shaping Corporate Cybersecurity Policies and Closing the Gaps
Journal of Corporate Accounting &Finance, EarlyView.ABSTRACT As digitalization accelerates, cybercrime has intensified in both scale and impact over the past two decades. This study aims to critically examine major cybersecurity events, assess them through the lens of routine activity theory, examine insight from three other established criminological and organizational theories, and address central ...
Laura K. Rickett, Deborah Smith
wiley +1 more source