ANALYSIS OF SECURITY VULNERABILITIES IN POPULAR PROGRAMMING LANGUAGES

The article examines security issues associated with the use of modern programming languages. A comparative analysis of vulnerabilities in such languages as Python, Java, JavaScript, C, C++, and PHP is presented. Special attention is paid to the frequency and severity of various types of vulnerabilities, including cross-site scripting, SQL injections, and buffer overflow. The research results show that the security level varies significantly depending on the selected programming language, with C and C++ demonstrating the highest vulnerability. The article also provides recommendations for developers to mitigate risks.

Authors

Publication Details

Journal
Vestnik LSTU
Published
2025-01-01
DOI
https://doi.org/10.53015/30343275_2025_2_37
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ANALYSIS OF SECURITY VULNERABILITIES IN POPULAR PROGRAMMING LANGUAGES

R.V. BATISHCHEV, V.V. BLUDOV, Yu.A. GARSHINA
Vestnik LSTU
Advanced Malware Detection Techniques
article

ANALYSIS OF SECURITY VULNERABILITIES IN POPULAR PROGRAMMING LANGUAGES

R.V. BATISHCHEV, V.V. BLUDOV, Yu.A. GARSHINA
article en

Abstract

The article examines security issues associated with the use of modern programming languages. A comparative analysis of vulnerabilities in such languages as Python, Java, JavaScript, C, C++, and PHP is presented. Special attention is paid to the frequency and severity of various types of vulnerabilities, including cross-site scripting, SQL injections, and buffer overflow. The research results show that the security level varies significantly depending on the selected programming language, with C and C++ demonstrating the highest vulnerability. The article also provides recommendations for developers to mitigate risks.

Vestnik LSTU(2)
Openalex Percentile: Top 88%
Advanced Malware Detection Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

ANALYSIS OF SECURITY VULNERABILITIES IN POPULAR PROGRAMMING LANGUAGES — R.V. BATISHCHEV, V.V. BLUDOV, et al. · Vestnik LSTU (2025) | TGRS Research Map | TGRS