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
ABSTRACT Large language models are increasingly used as programming assistants, but their security behavior remains uneven: they may generate code with vulnerable patterns, and they may provide actionable help for malicious requests. This paper introduces AlquistCoder, a compact 3.8B‐parameter coding assistant designed to address both risks through ...
Ondřej Kobza +6 more
wiley +1 more source
How to Pass the Reverse Turing Test By Utilizing a VMI-Based Human Interaction Simulator
Sandboxes are an indispensable tool in dynamic malware analysis today. However, modern malware often employs sandbox-detection methods to exhibit non-malicious behavior within sandboxes and therefore evade automatic analysis.
Freiling, Felix C., Gruber, Jan
core +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
AFAgarap/malware-classification v0.1-alpha
<p>Code implementation of "Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification"</p ...
Abien Fred Agarap
core +1 more source
Integrated Analysis of Malicious Software: Insights from Static and Dynamic Perspectives
Malware remains one of the most persistent and evolving threats to cybersecurity, necessitating robust analysis techniques to understand and mitigate its impact.
Maria-Mădălina Andronache +2 more
doaj +1 more source
A Novel Approach to Detect Malware Based on API Call Sequence Analysis
In the era of ubiquitous sensors and smart devices, detecting malware is becoming an endless battle between ever-evolving malware and antivirus programs that need to process ever-increasing security related data. For malware detection, various approaches
Youngjoon Ki, Eunjin Kim, Huy Kang Kim
doaj +1 more source
I-MCM: IoT Malware Counter Measures for Cross-Architecture IoT Malware Detection
The recent attacks initiated by malware-infected IoT devices illustrate that these attacks have tremendous impacts not only on the targeted systems but also on the entire internet infrastructure.
Ibrahim Gulatas +3 more
doaj +1 more source
Enhancing Cyber-Resilience for Small and Medium-Sized Organizations with Prescriptive Malware Analysis, Detection and Response. [PDF]
Ilca LF, Lucian OP, Balan TC.
europepmc +1 more source
Zero-Day Malware Detection and Effective Malware Analysis Using Shapley Ensemble Boosting and Bagging Approach. [PDF]
Kumar R, Subbiah G.
europepmc +1 more source

