International Journal of Network Security & Its Applications (IJNSA) - ERA Indexed

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International Journal of Network Security & Its Applications (IJNSA) - ERA Indexed, H Index - 52

ISSN: 0974 - 9330 (Online); 0975 - 2307 (Print)

Google Scholar URL: https://scholar.google.co.in/citations?hl=en&user=lhj_6AYAAAAJ

Citations 12273   h-index 52   i10-index 218

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International Journal of Network Security & Its Applications (IJNSA)

International Journal of Network Security & Its Applications (IJNSA)

ISSN: 0974 - 9330 (Online); 0975 - 2307 (Print)

Webpage URL: https://airccse.org/journal/ijnsa.html

Classification of Source Code Vulnerabilities and Analysis of Detection Methods: Evaluation, Comparison, and Proposed Approaches

Nin Ho Le Viet1,2, Chieu Ta Quang2, Cuong Nguyen Van3 and Tuan Nguyen Kim3, 1Duy Tan University, Vietnam, 2Thuyloi University, Vietnam, 3Phenikaa University, Vietnam

Abstract

Source code vulnerabilities are an important cause leading to many information security incidents in modern software systems. Due to the diversity of causes and technical characteristics, source code vulnerability detection is difficult to be effectively addressed by a single method. This paper focuses on classifying, evaluating, and comparing source code vulnerability detection methods in order to provide a systematic view of this problem. The first contribution of the paper is to develop a classification approach for source code vulnerabilities based on causes and technical characteristics, thereby clarifying the nature of each vulnerability group. Next, the paper analyzes and evaluates common detection method categories, including static analysis, dynamic analysis, and machine learning and deep learning based methods, with consideration of the application scope and characteristic limitations of each approach. On that basis, the paper conducts an overall comparison among the methods to indicate that there does not exist a single technique that can effectively detect every type of source code vulnerability. Finally, the paper proposes a combined approach to leverage the advantages of different methods in source code vulnerability detection. The results and analyses in the paper are expected to support researchers and software engineers in evaluating, selecting, and orienting the development of vulnerability detection solutions in the future.

Keywords

Source code vulnerabilities, Software security, Vulnerability detection, Static and dynamic analysis, Machine learning

Abstract URL: http://aircconline.com/abstract/ijnsa/v18n2/18226ijnsa01.html

Original Source URL: https://aircconline.com/ijnsa/V18N2/18226ijnsa01.pdf

Volume URL: https://airccse.org/journal/jnsa26_current.html

International Journal of Network Security & Its Applications (IJNSA) - Current Issue: March 2026, Volume 18, Number 2

#networksecurity #security #network #blockchain #technology #cybersecurity #artificialintelligence #machinelearning #database #systemsecurity #optimization #internetsecurity #mobile #adhoc #sensors #protocols #Management #intrusion #detection #prevention

International Journal of Network Security & Its Applications (IJNSA) - ERA Indexed, H Index - 52

ISSN: 0974 - 9330 (Online); 0975 - 2307 (Print)

Webpage URL: https://airccse.org/journal/ijnsa.html

Current Issue: March 2026, Volume 18, Number 2

Classification of Source Code Vulnerabilities and Analysis of Detection Methods: Evaluation, Comparison, and Proposed Approaches

Nin Ho Le Viet1,2, Chieu Ta Quang2, Cuong Nguyen Van3 and Tuan Nguyen Kim3, 1Duy Tan University, Vietnam, 2Thuyloi University, Vietnam, 3Phenikaa University, Vietnam

Abstract URL: http://aircconline.com/abstract/ijnsa/v18n2/18226ijnsa01.html

Original Source URL: https://aircconline.com/ijnsa/V18N2/18226ijnsa01.pdf

Designing Disaster Recovery Framework for Globally Distributed Cloud Applications

Ronak Jani, Lead DBA, USA

Abstract URL: http://aircconline.com/abstract/ijnsa/v18n2/18226ijnsa02.html

Original Source URL: https://aircconline.com/ijnsa/V18N2/18226ijnsa02.pdf

Strategic Management of the Internal Audit Function in the Transition to a Realtime Mode

Eshan Nabeel, UAE

Abstract URL: http://aircconline.com/abstract/ijnsa/v18n2/18226ijnsa03.html

Original Source URL: https://aircconline.com/ijnsa/V18N2/18226ijnsa03.pdf

From Pipelines to Platforms: The Impact of Platform-Centric Data Architecture on Enterprise AI in Regulated Industries

Mohammed Arbaaz Shareef, Anblicks, USA

Abstract URL: http://aircconline.com/abstract/ijnsa/v18n2/18226ijnsa04.html

Original Source URL: https://aircconline.com/ijnsa/V18N2/18226ijnsa04.pdf

AI-Enhanced Network Traffic Analysis for Preventing Fraud Payment in Banks

Balavardhan Reddy1 and Amir Ahmed Ansari2, 1University of the Cumberlands, USA, 2Indiana Wesleyan University, USA

Abstract URL: http://aircconline.com/abstract/ijnsa/v18n2/18226ijnsa05.html

Original Source URL: https://aircconline.com/ijnsa/V18N2/18226ijnsa05.pdf

Concurrency and Performance Challenges in Large-Scale Distributed Applications

Matvii Horskyi, USA

Abstract URL: http://aircconline.com/abstract/ijnsa/v18n2/18226ijnsa06.html

Original Source URL: https://aircconline.com/ijnsa/V18N2/18226ijnsa06.pdf

Volume URL: https://airccse.org/journal/jnsa26_current.html

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International Journal of Network Security & Its Applications (IJNSA)

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Welcome To IJNSA

International Journal of Network Security & Its Applications (IJNSA) - ERA Indexed, H Index - 52

ISSN: 0974 - 9330 (Online); 0975 - 2307 (Print)

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Submission Deadline: April 05, 2026

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7th International Conference on Big Data, IOT and Blockchain (BIBC 2026)

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7th International Conference on Big Data, IOT and Blockchain (BIBC 2026)

August 22 ~ 23, 2026, Dubai, UAE

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Submission Deadline:  April 04 , 2026

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7th International Conference on Networks & IOT (NeTIOT 2026)

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12th International Conference on Software Engineering (SEC 2026)

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12th International Conference on Software Engineering (SEC 2026)

 

May 16 ~ 17, 2026, Zurich, Switzerland

 

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