Results 61 to 70 of about 489,214 (203)
A hybrid quantum kernel support vector machine is proposed to detect network intrusions with NISQ devices. The proposed framework combines classical preprocessing with fidelity‐based quantum feature mapping, achieving enhanced accuracy and robustness against cybersecurity threats and leveraging modern benchmark datasets, offering a glimpse of the ...
Mohammad Rafeek Khan +4 more
wiley +1 more source
Demystifying Malware Image Visualization: Enhancing Reproducibility and Explainability [PDF]
openL'aumento persistente dei malware riscontrati nel mondo digitale ha rappresentato un ostacolo continuo per i ricercatori nell'ambito della sicurezza informatica, dall'avvento dei personal computer fino ai giorni nostri.
BROSOLO, MATTEO
core
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
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
Toward a Persona‐Driven Approach in Cybersecurity: Insights From a Systematic Literature Review
ABSTRACT In recent years, developing secure yet usable systems has been one of the top concerns in cybersecurity research and practice. Research indicates that many data breaches and other cybercrimes directed toward exploiting human factors could be prevented by an inclusive and human‐centered cybersecurity design.
Daria Levaniuk +3 more
wiley +1 more source
Android Malware Familial Classification Based on DEX File Section Features
The rapid proliferation of Android malware is challenging the classification of the Android malware family. The traditional static method for classification is easily affected by the confusion and reinforcement, while the dynamic method is expensive in ...
Yong Fang +3 more
doaj +1 more source
Cybersecurity in aquaculture: Risks, governance, and future directions across production systems
Abstract Aquaculture is becoming increasingly dependent on connected sensors, remote monitoring, edge and cloud analytics, automation, and digital traceability; however, the cybersecurity evidence base remains fragmented and low‐trophic systems are markedly underrepresented.
Indrek Adler +3 more
wiley +1 more source
Towards secure mobile learning. Visual discovery of malware patterns in android apps
Due to the diffusion of mobile devices, more and more people access e-learning platforms from mobile phones. Students learn from digital books and have access to information anytime and anywhere.
Paolo Buono, Pietro Carella
core +1 more source
BinSlayer: Accurate Comparison of Binary Executables [PDF]
As the volume of malware inexorably rises, comparison of binary code is of increasing importance to security analysts as a method of automatically classifying new malware samples; purportedly new examples of malware are frequently a simple evolution of ...
Martial Bourquin +5 more
core +1 more source
Overview of the paper organization, illustrating the hierarchical structure of cybersecurity domains in ICS and CPS, including attack analysis, security approaches, offensive tactics, career guidance, and concluding discussions. ABSTRACT The convergence of operational technology (OT) with IP‐based information systems has exposed industrial control ...
M. A. Khalifa +2 more
wiley +1 more source

