A Real-World Implementation of SQL Injection Attack Using Open Source Tools for Enhanced Cybersecurity Learning

2018 ◽  
Author(s):  
Shriya Vyamajala ◽  
Tauheed Khan Mohd ◽  
Ahmad Javaid
Keyword(s):  
Open Source ◽  
Real World ◽  
Sql Injection ◽  
Sql Injection Attack

Bridging academic open-source EDA to real-world usability

2020 ◽  
Author(s):  
Austin Rovinski ◽  
Tutu Ajayi ◽  
Minsoo Kim ◽  
Guanru Wang ◽  
Mehdi Saligane
Keyword(s):  
Open Source ◽  
Real World

scholarly journals Leveraging Final Degree Projects for Open Source Software Contributions

Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1181
Author(s):  
Juanan Pereira
Keyword(s):  
Graduate Students ◽  
Software Engineering ◽  
Computer Science ◽  
Open Source ◽  
Communication Skills ◽  
Open Source Software ◽  
Real World ◽  
Practical Experience ◽  
Multiple Challenges ◽  
Final Degree

(1) Background: final year students of computer science engineering degrees must carry out a final degree project (FDP) in order to graduate. Students’ contributions to improve open source software (OSS) through FDPs can offer multiple benefits and challenges, both for the students, the instructors and for the project itself. This work reports on a practical experience developed by four students contributing to mature OSS projects during their FDPs, detailing how they addressed the multiple challenges involved, both from the students and teachers perspective. (2) Methods: we followed the work of four students contributing to two established OSS projects for two academic years and analyzed their work on GitHub and their responses to a survey. (3) Results: we obtained a set of specific recommendations for future practitioners and detailed a list of benefits achieved by steering FDP towards OSS contributions, for students, teachers and the OSS projects. (4) Conclusion: we find out that FDPs oriented towards enhancing OSS projects can introduce students into real-world, practical examples of software engineering principles, give them a boost in their confidence about their technical and communication skills and help them build a portfolio of contributions to daily used worldwide open source applications.

SQL Injection Attack Detection Framework Based on HTTP Traffic

2021 ◽  
Author(s):  
ZhongDong Zhu ◽  
ShiLin Jia ◽  
JiShuai Li ◽  
SuJuan Qin ◽  
Hui Guo
Keyword(s):  
Attack Detection ◽  
Sql Injection ◽  
Sql Injection Attack

The research and implement of a framework to detect SQL injection attack automatically

2015 ◽  
pp. 901-904
Author(s):  
Hongmin Li ◽  
Min Lu ◽  
Jianping Zhang ◽  
Xiaofang Huang
Keyword(s):  
Sql Injection ◽  
Sql Injection Attack

scholarly journals Safety Measures and Auto Detection against SQL Injection Attacks

2019 ◽  
Vol 8 (4) ◽  
pp. 2827-2833
Keyword(s):  
Web Application ◽  
Application Programming Interface ◽  
Database Management System ◽  
Transport Layer ◽  
Prototype System ◽  
Large Network ◽  
Security Measures ◽  
Sql Injection ◽  
Sql Injection Attack ◽  
The Web

The SQL injection attack (SQLIA) occurred when the attacker integrating a code of a malicious SQL query into a valid query statement via a non-valid input. As a result the relational database management system will trigger these malicious query that cause to SQL injection attack. After successful execution, it may interrupts the CIA (confidentiality, integrity and availability) of web API. The vulnerability of Web Application Programming Interface (API) is the prior concern for any programming. The Web API is mainly based of Simple Object Access Protocol (SOAP) protocol which provide its own security and Representational State Transfer (REST) is provide the architectural style to security measures form transport layer. Most of the time developers or newly programmers does not follow the standards of safe programming and forget to validate their input fields in the form. This vulnerability in the web API opens the door for the threats and it’s become a cake walk for the attacker to exploit the database associated with the web API. The objective of paper is to automate the detection of SQL injection attack and secure the poorly coded web API access through large network traffic. The Snort and Moloch approaches are used to develop the hybrid model for auto detection as well as analyze the SQL injection attack for the prototype system

scholarly journals A Case Study of Crowdsourcing Imagery Coding in Natural Disasters

2017 ◽  
Author(s):  
Cobi Alison Smith
Keyword(s):  
Natural Disasters ◽  
Open Source ◽  
Real World ◽  
Disaster Response ◽  
Digital Humanities ◽  
Open Data ◽  
Geographic Information ◽  
Response And Recovery ◽  
Disaster Response And Recovery

Crowdsourcing and open licensing allow more people to participate in research and humanitarian activities. Open data, such as geographic information shared through OpenStreetMap and image datasets from disasters, can be useful for disaster response and recovery work. This chapter shares a real-world case study of humanitarian-driven imagery analysis, using open-source crowdsourcing technology. Shared philosophies in open technologies and digital humanities, including remixing and the wisdom of the crowd, are reflected in this case study.

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