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50 Results Found

  • Article
  • Open Access
57 Citations
10,607 Views
12 Pages

26 July 2023

SQL injection attacks are one of the most common types of attacks on Web applications. These attacks exploit vulnerabilities in an application’s database access mechanisms, allowing attackers to execute unauthorized SQL queries. In this study,...

(This article belongs to the Special Issue Advanced Artificial Intelligence Models and Its Applications)
  • Article
  • Open Access
114 Citations
36,099 Views
14 Pages

20 September 2022

An SQL injection attack, usually occur when the attacker(s) modify, delete, read, and copy data from database servers and are among the most damaging of web application attacks. A successful SQL injection attack can affect all aspects of security, in...

(This article belongs to the Collection Machine Learning and Data Analytics for Cyber Security)
  • Article
  • Open Access
42 Citations
13,352 Views
22 Pages

Over the years, injection vulnerabilities have been at the top of the Open Web Application Security Project Top 10 and are one of the most damaging and widely exploited types of vulnerabilities against web applications. Structured Query Language (SQL...

(This article belongs to the Special Issue AI in Cybersecurity)
  • Article
  • Open Access
32 Citations
8,469 Views
18 Pages

30 March 2023

SQL injection is a highly detrimental web attack technique that can result in significant data leakage and compromise system integrity. To counteract the harm caused by such attacks, researchers have devoted much attention to the examination of SQL i...

(This article belongs to the Section Cybersecurity)
  • Article
  • Open Access
48 Citations
8,199 Views
11 Pages

29 March 2023

SQL injection attack is considered one of the most dangerous vulnerabilities exploited to leak sensitive information, gain unauthorized access, and cause financial loss to individuals and organizations. Conventional defense approaches use static and...

(This article belongs to the Section Computing and Artificial Intelligence)
  • Article
  • Open Access
1 Citations
1,114 Views
24 Pages

9 May 2026

The increasing development and prevalence of web applications have contributed to a surge in web attacks, with injection vulnerabilities considered amongst the most pivotal, widespread, and severe. SQL injection attacks are a substantial type of atta...

  • Article
  • Open Access
6 Citations
3,576 Views
22 Pages

An SQL Injection Attack (SQLIA) is a major cyber security threat to Web services, and its different stages can cause different levels of damage to an information system. Attackers can construct complex and diverse SQLIA statements, which often cause...

(This article belongs to the Section Computer Science & Engineering)
  • Article
  • Open Access
24 Citations
7,682 Views
15 Pages

29 April 2023

Web attacks pose a significant threat to enterprises, as attackers often target web applications first. Various solutions have been proposed to mitigate and reduce the severity of these threats, such as web application firewalls (WAFs). On the other...

(This article belongs to the Section Internet of Things)
  • Article
  • Open Access
3 Citations
7,662 Views
23 Pages

Modern database systems are critical for storing sensitive information but are increasingly targeted by cyber threats, including SQL injection (SQLi) attacks. This research proposes a robust security framework leveraging Docker-based virtualisation t...

(This article belongs to the Collection Information Systems Security)
  • Article
  • Open Access
19 Citations
2,805 Views
21 Pages

Effective SQL Injection Detection: A Fusion of Binary Olympiad Optimizer and Classification Algorithm

  • Bahman Arasteh,
  • Asgarali Bouyer,
  • Seyed Salar Sefati and
  • Razvan Craciunescu

19 September 2024

Since SQL injection allows attackers to interact with the database of applications, it is regarded as a significant security problem. By applying machine learning algorithms, SQL injection attacks can be identified. Problem: In the training stage of...

  • Article
  • Open Access
20 Citations
8,979 Views
24 Pages

26 February 2019

The article discusses the problem of detecting network attacks on a web server. The attention is focused on two common types of attacks: “denial of service” and “code injection”. A review and an analysis of various attack dete...

(This article belongs to the Special Issue Machine Learning for Cyber-Security)
  • Article
  • Open Access
635 Views
23 Pages

SQLSnoop: Secondary DBMS Attack by Expanding SQL Injection Techniques

  • Dowon Jeong,
  • Jiho Kim,
  • Aymen Fatima and
  • Daehee Jang

12 June 2026

SQL Injection is a well-known vulnerability that has persisted in web applications for decades. A widely held assumption among developers is that even when SQL Injection is present, hashing or encrypting sensitive data using SQL-provided cryptographi...

  • Article
  • Open Access
11 Citations
3,443 Views
25 Pages

Enhancing Structured Query Language Injection Detection with Trustworthy Ensemble Learning and Boosting Models Using Local Explanation Techniques

  • Thi-Thu-Huong Le,
  • Yeonjeong Hwang,
  • Changwoo Choi,
  • Rini Wisnu Wardhani and ,
  • Dedy Septono Catur Putranto and
  • Howon Kim
  • + 1 author+ 0 author

6 November 2024

This paper presents a comparative analysis of several decision models for detecting Structured Query Language (SQL) injection attacks, which remain one of the most prevalent and serious security threats to web applications. SQL injection enables atta...

(This article belongs to the Special Issue Converging Platform Technologies: Collaborative Innovations and Future Directions)
  • Article
  • Open Access
1 Citations
4,216 Views
22 Pages

21 November 2025

This study presents a comprehensive examination of the risks associated with SQL Injection attacks, with a particular focus on the Union Select technique. This method is frequently exploited by attackers to retrieve unauthorized data by appending mal...

(This article belongs to the Special Issue Advances in Internet of Things (IoT) Security: Challenges and Applications)
  • Article
  • Open Access
101 Citations
20,733 Views
16 Pages

12 February 2023

New techniques and tactics are being used to gain unauthorized access to the web that harm, steal, and destroy information. Protecting the system from many threats such as DDoS, SQL injection, cross-site scripting, etc., is always a challenging issue...

(This article belongs to the Special Issue Data Privacy, Security, and Trust in New Technological Trends)
  • Article
  • Open Access
18 Citations
5,955 Views
17 Pages

Deep-Learning Based Injection Attacks Detection Method for HTTP

  • Chunhui Zhao,
  • Shuaijie Si,
  • Tengfei Tu,
  • Yijie Shi and
  • Sujuan Qin

13 August 2022

In the context of the new era of high digitization and informatization, the emergence of the internet and artificial intelligence technologies has profoundly changed people’s lifestyles. The traditional cyber attack detection has become increas...

(This article belongs to the Special Issue Artificial Intelligence and Natural Computing: Theory, Methodology and Applications)
  • Feature Paper
  • Article
  • Open Access
13 Citations
5,512 Views
14 Pages

Detecting Structured Query Language Injections in Web Microservices Using Machine Learning

  • Edwin Peralta-Garcia,
  • Juan Quevedo-Monsalbe,
  • Victor Tuesta-Monteza and
  • Juan Arcila-Diaz

Structured Query Language (SQL) injections pose a constant threat to web services, highlighting the need for efficient detection to address this vulnerability. This study compares machine learning algorithms for detecting SQL injections in web micros...

(This article belongs to the Section Machine Learning)
  • Article
  • Open Access
496 Views
26 Pages

Real-Traffic Enrichment for Improved Minority Web Attack Detection in Network Intrusion Detection

  • Zeyneb Berkat,
  • Amina Fatima Zahra Yahiaoui,
  • Mahfoud Aliouat,
  • Emad Abd-Elrady and ,
  • Aymen Bendjebbas,
  • Kamel Eddine Haouari and
  • Riyadh Bouddou
  • + 2 authors+ 0 author

20 September 2026

Class imbalance severely limits Network Intrusion Detection Systems (NIDSs) for minority Web attack classes: CICIDS2017 contains only 21 SQL Injection instances among 2.27 million benign flows. This study enriches CICIDS2017 with authentic SQL Inject...

(This article belongs to the Topic New Trends in Cybersecurity and Data Privacy)
  • Article
  • Open Access
18 Citations
5,416 Views
17 Pages

9 January 2025

This paper presents a novel neural network model for the detection of Structured Query Language (SQL) injection attacks for web applications. The model features high detection accuracy, fast inference speed, and low weight size. The model is based on...

(This article belongs to the Section Computing and Artificial Intelligence)
  • Article
  • Open Access
42 Citations
11,818 Views
21 Pages

21 August 2023

Amid the incessant evolution of the Internet, an array of cybersecurity threats has surged at an unprecedented rate. A notable antagonist within this plethora of attacks is the SQL injection assault, a prevalent form of Internet attack that poses a s...

(This article belongs to the Special Issue Machine Learning and AI in Intelligent Data Mining and Analysis)
  • Article
  • Open Access
581 Views
25 Pages

11 August 2026

The deployment of Large Language Model (LLM)-generated SQL in Artificial Intelligence of Things (AIoT) systems introduces critical security risks, as prompt injection attacks can manipulate LLMs into producing unauthorized queries that expose sensiti...

  • Article
  • Open Access
20 Citations
9,718 Views
20 Pages

Evaluation of Black-Box Web Application Security Scanners in Detecting Injection Vulnerabilities

  • Muzun Althunayyan,
  • Neetesh Saxena,
  • Shancang Li and
  • Prosanta Gope

With the Internet’s meteoric rise in popularity and usage over the years, there has been a significant increase in the number of web applications. Nearly all organisations use them for various purposes, such as e-commerce, e-banking, e-learning...

(This article belongs to the Special Issue Design of Intelligent Intrusion Detection Systems)
  • Review
  • Open Access
17 Citations
6,222 Views
30 Pages

A Survey: Security Vulnerabilities and Protective Strategies for Graphical Passwords

  • Zena Mohammad Saadi,
  • Ahmed T. Sadiq,
  • Omar Z. Akif and
  • Alaa K. Farhan

As technology advances and develops, the need for strong and simple authentication mechanisms that can help protect data intensifies. The contemporary approach to giving access control is through graphical passwords comprising images, patterns, or gr...

(This article belongs to the Special Issue AI in Cybersecurity, 2nd Edition)
  • Article
  • Open Access
33 Citations
7,726 Views
26 Pages

31 December 2024

The widespread adoption of web services has heightened exposure to cybersecurity threats, particularly SQL injection (SQLi) attacks that target the database layers of web applications. Traditional Web Application Firewalls (WAFs) often fail to keep p...

(This article belongs to the Special Issue Generative Artificial Intelligence (AI) for Cybersecurity)
  • Article
  • Open Access
7 Citations
6,116 Views
21 Pages

TPSQLi: Test Prioritization for SQL Injection Vulnerability Detection in Web Applications

  • Guan-Yan Yang,
  • Farn Wang,
  • You-Zong Gu,
  • Ya-Wen Teng and ,
  • Kuo-Hui Yeh,
  • Ping-Hsueh Ho and
  • Wei-Ling Wen
  • + 2 authors+ 0 author

17 September 2024

The rapid proliferation of network applications has led to a significant increase in network attacks. According to the OWASP Top 10 Projects report released in 2021, injection attacks rank among the top three vulnerabilities in software projects. Thi...

(This article belongs to the Section Electrical, Electronics and Communications Engineering)
  • Proceeding Paper
  • Open Access
1 Citations
717 Views
14 Pages

Research on Vulnerability Detection Methods in SQL and NoSQL Systems Using Machine Learning and Large Language Models

  • Yasfirbek Rozmetov,
  • Anel Aidos,
  • Murat Ozer,
  • Alibek Bissembayev and ,
  • Aigul Bissarinova and
  • Assel Mukasheva
  • + 1 author+ 0 author

16 September 2026

SQL and NoSQL databases are at risk from injection attacks, which is one of the most serious threats to the security of today’s data-centric systems. To address this issue, this research proposes an architecture for evaluating a new hybrid tech...

(This article belongs to the Proceedings of The International Conference on Electronics, Engineering Physics and Earth Science (EEPES2026))
  • Article
  • Open Access
10 Citations
5,851 Views
20 Pages

Machine Learning Models for SQL Injection Detection

  • Cosmina-Mihaela Rosca,
  • Adrian Stancu and
  • Catalin Popescu

27 August 2025

Cyberattacks include Structured Query Language Injection (SQLi), which represents threats at the level of web applications that interact with the database. These attacks are carried out by executing SQL commands, which compromise the integrity and co...

(This article belongs to the Special Issue Machine Learning and Cybersecurity—Trends and Future Challenges)
  • Article
  • Open Access
26 Citations
1,441 Views
17 Pages

A Semantic Data Validation Service for Web Applications

  • Shadi Aljawarneh,
  • Faisal Alkhateeb and
  • Eslam Al Maghayreh

An Input validation can be a critical issue. Typically, a little attention is paid to it in a web development project, because overenthusiastic validation can tend to cause failures in the software, and can also break the security upon web applicatio...

  • Article
  • Open Access
1,553 Views
33 Pages

The increasing digitization of healthcare records and growing reliance on interconnected systems have increased hospitals’ exposure to cyber threats, including ransomware, brute-force attacks, and Structured Query Language (SQL) injection. Trad...

(This article belongs to the Section Safety, Security, Privacy, and Cyber Resilience)
  • Article
  • Open Access
26 Citations
16,791 Views
25 Pages

Elliptic curve cryptography (ECC) is extensively used in various multifactor authentication protocols. In this work, various recent ECC-based authentication and key exchange protocols are subjected to threat modeling and static analysis to detect vul...

  • Review
  • Open Access
151 Citations
22,148 Views
32 Pages

20 March 2024

With its exponential growth, the Internet of Things (IoT) has produced unprecedented levels of connectivity and data. Anomaly detection is a security feature that identifies instances in which system behavior deviates from the expected norm, facilita...

(This article belongs to the Section Internet of Things)
  • Article
  • Open Access
12 Citations
4,794 Views
19 Pages

28 April 2024

The emergence of security vulnerabilities and risks in software development assisted by self-generated tools, particularly with regard to the generation of code that lacks due consideration of security measures, could have significant consequences fo...

(This article belongs to the Special Issue Artificial Intelligence Applications in Industry)
  • Article
  • Open Access
30 Citations
9,945 Views
18 Pages

21 September 2023

The web application market has shown rapid growth in recent years. The expansion of Wireless Sensor Networks (WSNs) and the Internet of Things (IoT) has created new web-based communication and sensing frameworks. Current security research utilizes so...

(This article belongs to the Section Sensor Networks)
  • Article
  • Open Access
841 Views
32 Pages

22 June 2026

The growing complexity of web attacks highlights the need for adaptive, intelligent defense systems that overcome the limitations of traditional rule-based web security. Thus, the architecture proposed in this paper integrates data-driven deep learni...

(This article belongs to the Section Computing and Artificial Intelligence)
  • Article
  • Open Access
5 Citations
2,739 Views
17 Pages

Implementation of a Clustering-Based LDDoS Detection Method

  • Tariq Hussain,
  • Muhammad Irfan Saeed,
  • Irfan Ullah Khan,
  • Nida Aslam and
  • Sumayh S. Aljameel

6 September 2022

With the rapid advancement and transformation of technology, information and communication technologies (ICT), in particular, have attracted everyone’s attention. The attackers took advantage of this and can caused serious problems, such as mal...

(This article belongs to the Special Issue Artificial Intelligence Driven Software-Defined Networking (SDN) Technologies for Next Generation Networks)
  • Article
  • Open Access
6 Citations
2,961 Views
32 Pages

Extracting Optimal Number of Features for Machine Learning Models in Multilayer IoT Attacks

  • Badeea Al Sukhni,
  • Soumya K. Manna,
  • Jugal M. Dave and
  • Leishi Zhang

19 December 2024

The rapid integration of Internet of Things (IoT) systems in various sectors has escalated security risks due to sophisticated multilayer attacks that compromise multiple security layers and lead to significant data loss, personal information theft,...

(This article belongs to the Section Internet of Things)
  • Article
  • Open Access
1 Citations
5,693 Views
15 Pages

During website development, the selection of suitable computer language and reasonable use of relevant open-source projects is imperative. Although the two languages, PHP and Java, have been extensively investigated in this context, there are not man...

(This article belongs to the Special Issue Software Analysis, Quality, and Security)
  • Review
  • Open Access
23 Citations
11,529 Views
47 Pages

10 July 2023

Advanced persistent threat (APT) refers to a specific form of targeted attack used by a well-organized and skilled adversary to remain undetected while systematically and continuously exfiltrating sensitive data. Various APT attack vectors exist, inc...

(This article belongs to the Section Computing and Artificial Intelligence)
  • Article
  • Open Access
35 Citations
25,982 Views
28 Pages

Analysing Cyber Attacks and Cyber Security Vulnerabilities in the University Sector

  • Harjinder Singh Lallie,
  • Andrew Thompson,
  • Elzbieta Titis and
  • Paul Stephens

4 February 2025

Universities hold and process vast amounts of financial, user, and research data, which makes them prime targets for cybercriminals. In addition to the usual external threat actors, universities face a unique insider threat from students, who—a...

(This article belongs to the Special Issue Cyber Security and Privacy in IoT Era)
  • Article
  • Open Access
2,711 Views
22 Pages

29 June 2026

Within the scope of this article, security threats against web applications and the effects of Web Application Firewall (WAF) usage on security were examined. The aim of the study is to evaluate the effectiveness of the open-source ModSecurity-based...

(This article belongs to the Section Electrical, Electronics and Communications Engineering)
  • Systematic Review
  • Open Access
2,192 Views
28 Pages

Web Application Programming Interfaces (Web APIs) have become fundamental components of modern software ecosystems. At the same time, they have emerged as major attack surfaces in web applications and distributed services. Although many web API vulne...

(This article belongs to the Special Issue Software Reliability, Security and Quality Assurance)
  • Article
  • Open Access
16 Citations
9,067 Views
18 Pages

SqliGPT: Evaluating and Utilizing Large Language Models for Automated SQL Injection Black-Box Detection

  • Zhiwen Gui,
  • Enze Wang,
  • Binbin Deng,
  • Mingyuan Zhang and ,
  • Yitao Chen,
  • Shengfei Wei,
  • Wei Xie and
  • Baosheng Wang
  • + 3 authors+ 0 author

7 August 2024

SQL injection (SQLI) black-box detection, which simulates external attack scenarios, is crucial for assessing vulnerabilities in real-world web applications. However, existing black-box detection methods rely on predefined rules to cover the most com...

(This article belongs to the Section Computing and Artificial Intelligence)
  • Article
  • Open Access
270 Views
48 Pages

In this paper, the authors propose a complete multiclass traffic classification model with an unknown-traffic screening method based on anomaly detection using Isolation Forest and a topological awareness method for context-based risk analysis, a dyn...

(This article belongs to the Section Security Engineering & Applications)
  • Article
  • Open Access
13 Citations
1,041 Views
21 Pages

18 April 2026

Cloud-based intrusion detection systems (IDSs) increasingly rely on deep learning classifiers to identify malicious traffic; however, this reliance exposes them to adversarial evasion attacks in which adversaries craft near-imperceptible perturbation...

  • Article
  • Open Access
595 Views
27 Pages

Explainable and Deployment-Aware Zero-Day Intrusion Detection for Cloud-Level Backend and Management Ecosystems in EV/V2X Cyber–Physical Systems

  • Hesham A. Sakr,
  • Ahmed A. El-Douh,
  • Maria Lapina,
  • Vitalii Lapin and ,
  • Biswaranjan Senapati and
  • Magda I. El-Afifi
  • + 1 author+ 0 author

9 September 2026

With the escalating frequency of sophisticated zero-day attacks, overcoming the critical limitations of signature-based Intrusion Detection Systems (IDSs) has become paramount. This study proposes a hybrid multi-layered intrusion detection framework...

  • Data Descriptor
  • Open Access
4 Citations
4,148 Views
11 Pages

11 November 2025

We present a real-world dataset capturing thirty consecutive days of malicious HTTP traffic filtered and blocked by the OWASP ModSecurity Web Application Firewall (WAF) on a live production server. Each entry corresponds to a request that triggered o...

(This article belongs to the Section Information Systems and Data Management)
  • Article
  • Open Access
1 Citations
1,654 Views
28 Pages

Intelligent Threat Defense Mechanisms for 5G APIs

  • Asif Yasin,
  • Seyed Ebrahim Hosseini,
  • Muhammad Nadeem and
  • Shahbaz Pervez

22 April 2026

As 5G Standalone Core networks grow, Application Programming Interface (APIs) have become a key part of how network systems talk to each other. They allow different functions to share data and complete tasks quickly. However, this also makes them tar...

(This article belongs to the Section Cybersecurity)
  • Article
  • Open Access
2 Citations
921 Views
14 Pages

SentinelCMS: Proactive Vulnerability Detection in CMS Plugins Using Static Taint Analysis and Bidirectional LSTM

  • Zhuldyz Tashenova,
  • Aisultan Aitmagambetuly,
  • Aigulim Bayegizova,
  • Saya Santeyeva and ,
  • Zhanat Abdugulova,
  • Shirin Amanzholova and
  • Akerke Kerim
  • + 2 authors+ 0 author

1 June 2026

Content Management Systems (CMS) have fundamentally transformed the digital landscape, powering a substantial majority of the modern web. However, the ubiquity of platforms such as WordPress, Joomla, and Drupal has made them primary targets for cyber...

  • Article
  • Open Access
8 Citations
6,441 Views
13 Pages

A Web-Based Honeypot in IPv6 to Enhance Security

  • Keyong Wang,
  • Mengyao Tong,
  • Dequan Yang and
  • Yuhang Liu

12 September 2020

IPv6 is a next-generation IP protocol that replaces IPv4. It not only expands the number of network address resources but also solves the problem of multiple access devices connected to the Internet. While IPv6 has brought excellent convenience to th...

(This article belongs to the Special Issue Cyberspace Security, Privacy & Forensics)
  • Article
  • Open Access
3 Citations
2,580 Views
35 Pages

Instantiation and Implementation of HEAD Metamodel in an Industrial Environment: Non-IoT and IoT Case Studies

  • Nadine Kashmar,
  • Mehdi Adda,
  • Hussein Ibrahim,
  • Jean-François Morin and
  • Tony Ducheman

Access to resources can take many forms: digital access via an onsite network, through an external site, website, etc., or physical access to labs, machines, information repositories, etc. Whether access to resources is digital or physical, it must b...

(This article belongs to the Special Issue Digital Security and Privacy Protection: Trends and Applications)