Results 91 to 100 of about 11,113 (232)
On Predicting Vulnerability Severity Using In‐Context Learning: An Industrial Case Study
Journal of Software: Evolution and Process, Volume 38, Issue 6, June 2026.ABSTRACT Modern software systems require earlier and more scalable vulnerability severity assessment to reduce exposure to high‐impact security flaws. Security analysts typically assign CVSS scores, but this manual triage does not scale with the growth of disclosed vulnerabilities and often depends on cloud LLM services that raise confidentiality ...
Daniel Rodriguez‐Cardenas +10 more
wiley +1 more source
EMEGO: enhancing malware evasion through genetic optimization
, 2023 LAUREA MAGISTRALENegli ultimi anni, i ricercatori di sicurezza informatica hanno regolarmente ideato sofisticate misure hardware e software per contrastare nuovi malware, ma i creatori di malware hanno inesorabilmente scoperto e sfruttato nuove ...
Barotti, Matteo
core
, 2023 Objective. Currently, the main method of attack on organizations is malware. The problem of strengthening protection against this type of attack remains relevant and requires new approaches.
D. A. Elizarov, A. V. Katkov
core +1 more source
Enhancing Cyber-Resilience for Small and Medium-Sized Organizations with Prescriptive Malware Analysis, Detection and Response. [PDF]
Sensors (Basel), 2023 Ilca LF, Lucian OP, Balan TC.
europepmc +1 more source
Finding Minimum‐Cost Explanations for Predictions Made by Tree Ensembles
Software: Practice and Experience, Volume 56, Issue 6, Page 615-642, June 2026.ABSTRACT The ability to reliably explain why a machine learning model arrives at a particular prediction is crucial when used as decision support by human operators of critical systems. The provided explanations must be provably correct, and preferably without redundant information, called minimal explanations.
John Törnblom +2 more
wiley +1 more source
Beyond Labeling: Using Clustering to Build Network Behavioral Profiles of Malware Families
, 2021 Malware family labels are known to be inconsistent. They are also black-box since they do not represent the capabilities of malware. The current state of the art in malware capability assessment includes mostly manual approaches, which are infeasible due
Nadeem, A. (author) +3 more
core +1 more source
Zero-Day Malware Detection and Effective Malware Analysis Using Shapley Ensemble Boosting and Bagging Approach. [PDF]
Sensors (Basel), 2022 Kumar R, Subbiah G.
europepmc +1 more source
Generating Pattern‐Based Datasets for Cyber Attack Detection Using Machine‐Learning Techniques
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.The aim of this work is to review the state of the art in the design, generation, and labeling of attack pattern datasets for training of detection systems based on machine learning. ABSTRACT This work aims to review the state of the art in the design, generation, and labeling of attack pattern datasets for the training of detection systems based on ...
Pedro Díaz García +4 more
wiley +1 more source
Canadian Public Administration, Volume 69, Issue 2, Page 250-277, June 2026.Abstract The war in Ukraine and Israel's successful operations have demonstrated the apparent shift in military operations, strategic defence spending, and innovations. Drawing parallels to the industrial revolution and how it slowly transferred military procurement, training, and deployment, the current study also highlights the AI revolution and the ...
Ehsan Jozaghi
wiley +1 more source
Democratizing Generic Malware Unpacking
3038A significant obstacle to efficient analysis of malware are packers that encrypt or otherwise obfuscate malicious code. However, despite the prominence of packers, the research field about their countermeasures, i.e.
Jenke, Thorsten +5 more
core +1 more source