Results 171 to 180 of about 100,345 (312)

Phishing URL Detection and Interpretability With Machine Learning: A Cross‐Dataset Approach

SECURITY AND PRIVACY, Volume 9, Issue 1, January/February 2026.
ABSTRACT Phishing attacks pose a significant security threat, particularly through deceptive emails designed to trick users into clicking on malicious links, with phishing URLs often serving as the primary indicator of such attacks. This paper presents a machine learning approach for detecting phishing email attacks by analyzing the URLs embedded ...
Liyan Yi, Adebayo Omotosho, Hamed Balogun   +2 more
wiley   +1 more source

Merge-based syntax is mediated by distinct neurocognitive mechanisms in 84,000 individuals with language deficits across nine languages. [PDF]

Sci Rep
Murphy E, Venkatesh R, Khokhlovich E, Vyshedskiy A.   +3 more
europepmc   +1 more source

Accurate Extraction of Bug Fix Pattern Occurrences using Abstract Syntax Tree Analysis

, 2014
Matías Martínez, Laurence Duchien, Martin Monperrus   +2 more
openalex   +1 more source

LLM-based program analysis for source codes, abstract syntax trees and WebAssembly instructions [PDF]

Liangjun Deng, Qi Zhong, Yao Qiu, Jingxue Chen, Hang Lei, Shunkun Yang, Liming Zhou, Hongyuan Cheng   +7 more
openalex   +1 more source

Design Pattern Prediction From Source Code Using LLM–Based Feature Engineering and SVM Classification

IET Software, Volume 2026, Issue 1, 2026.
Typical source code (SC) metrics are useful in identifying and predicting the used design patterns in typical Java and Kotlin projects. However, typical SC metrics–based prediction tends to be less accurate. This research presents a novel idea of detecting various design patterns in a code with the help of large language model (LLM)–based features ...
Sirojiddin Komolov, Manuel Mazzara, Imran Sarwar Bajwa, Mohammed Al-Khalidi   +3 more
wiley   +1 more source

SBOM generation based on code-level external component trees. [PDF]

Sci Rep
Kong X, Zhuo H, Miao X, Huang W, Du J.
europepmc   +1 more source

Research on the method of simplifying GNU compiler collection abstract syntax tree

, 2018
Feng Gao, Hai-tao WU
openalex   +2 more sources

A Program Similarity Evaluation using Keyword Extraction on Abstract Syntax Tree [PDF]

, 2005
Young‐Chul Kim, Jae-Young Choi
openalex   +1 more source

HDR‐SA: A Hybrid Deep Learning and RoBERTa‐Based Framework for Sentiment and Aspect Analysis

IET Software, Volume 2026, Issue 1, 2026.
The ability to comprehend complex viewpoints in text is critical for sentiment analysis (SA), particularly at the aspect level, yet existing models struggle with accurately identifying sentiment polarities and aspect‐specific expressions due to their reliance on large, manually annotated, domain‐specific datasets.
Laxmi Pamulaparthy, C. H. Sumalakshmi, Nadeem Sarwar   +2 more
wiley   +1 more source

Optimization for threat classification of various data types-based on ML model and LLM. [PDF]

Sci Rep
Hong C, Oh T.
europepmc   +1 more source