Software and Application Security
Summary
Software and application security encompasses the principles, methodologies and tools designed to prevent unauthorised access, manipulation or disruption of software systems throughout their lifecycle. It spans secure design, threat modelling, secure coding practices, static and dynamic analysis, runtime protection and continuous monitoring. Key objectives include maintaining confidentiality, integrity and availability of data and functionality. Defence-in-depth strategies integrate automated vulnerability scanning, code review, penetration testing and incident response to address threats such as injection attacks, cross-site scripting, buffer overflows and malware. The adoption of DevSecOps embeds security controls into development pipelines, ensuring timely detection and remediation. Recent advances in machine learning and deep learning augment traditional approaches by identifying anomalous patterns, classifying malicious behaviour and prioritising risk. Robust software security underpins user trust, regulatory compliance and resilience of critical infrastructure in an increasingly interconnected digital ecosystem.
Research from Nature Portfolio
Recent work has refined automated Android malware detection by introducing a two-stage feature-selection framework that applies univariate and multivariate statistical tests to yield a concise set of permissions. These features, when used as inputs to ensemble methods and neural networks, achieve detection rates exceeding 98 per cent while reducing misclassification costs. Studies on obfuscated Android applications demonstrate that combining static code metrics with dynamic execution traces in a deep-learning ensemble voting mechanism can accurately classify benign and obfuscated samples, highlighting the importance of hybrid analysis in defeating evasion techniques. In ransomware research, cost-sensitive Pareto ensemble classifiers built upon representations learned by unsupervised autoencoders have shown superior resilience against zero-day variants, optimising the balance between false positives and false negatives through heterogeneous base estimators.
Software and Application Security publication trend
The graph below shows the total number of articles in software and application security across all publications each year (not limited to Nature Index journals).
Technical terms
SQL injection: An attack that injects malicious SQL code into input fields to alter database queries.
Cross-site scripting (XSS): A vulnerability enabling attackers to inject client-side scripts into web pages viewed by other users.
Vulnerability scanner: Automated tool that probes applications by simulating known attack payloads to identify security flaws.
Obfuscation: Transformation of code or binaries to conceal logic and hinder analysis by security tools.
Feature selection: Process of choosing the most informative variables from data to improve machine-learning model performance.
Ensemble classifier: Machine-learning technique that combines outputs of multiple models to enhance predictive accuracy.
Unsupervised feature extraction: Method using models like autoencoders to learn data representations without labelled samples.
References
- Security and Software Engineering.
- PermDroid a framework developed using proposed feature selection approach and machine learning techniques for Android malware detection. Scientific Reports (2024).
- Evaluation and classification of obfuscated Android malware through deep learning using ensemble voting mechanism. Scientific Reports (2023).
- Ransomware detection using deep learning based unsupervised feature extraction and a cost sensitive Pareto Ensemble classifier. Scientific Reports (2022).
- A Study of Vulnerability Scanners for Detecting SQL Injection and XSS Attack in Websites. Artificial Intelligence and Applications (2023).
- SECURING WEB APPLICATIONS WITH OWASP ZAP FOR COMPREHENSIVE SECURITY TESTING. International Journal of Advances in Signal and Image Sciences (2024).
- A Survey on Web Application Penetration Testing. Electronics (2023).
About these summaries
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