Results 51 to 60 of about 2,166 (172)
Proposed Method to Prevent SQL Injection Attack
the internet and its websites have huge using these days. These webs may have sensitive and secret information like military information, financial information and other important information that transfer through the networks.
Makera Aziz, Dena Ahmed
doaj +1 more source
Intrusion Detection Framework for SQL Injection
7 pages, 5 Figures,ASIAN JOURNAL OF ENGINEERING, SCIENCES & TECHNOLOGY,VOL.6, ISSUE ...
Israr Ali +2 more
openaire +2 more sources
Identification and Authentication Failures: Foundational Aspects of Strong Detection Mechanisms
A review of recent techniques for detecting Identification and Authentication Failures in online platforms storing sensitive user data. Analyzed methods include biometric, hierarchical, blockchain, IoT‐based, EPICS, and VAP authentication systems. ABSTRACT Online platforms, such as e‐commerce and online apps, have become crucial in daily activities ...
Md. Maruf Hassan +2 more
wiley +1 more source
One‐Dimensional Covalent Organic Framework: Synthesis and Photoelectronic Applications
The functional monomer structures, synthetic strategies, and the related applications of one‐dimensional covalent organic frameworks, as well as their current challenges and future development directions, have been summarized and prospected. One‐dimensional covalent organic frameworks (1D COFs) are linear porous materials constructed from organic units
Xuxin Fan +7 more
wiley +1 more source
SQLSnoop: Secondary DBMS Attack by Expanding SQL Injection Techniques
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 cryptographic ...
Dowon Jeong +3 more
doaj +1 more source
Using Nlp Techniques To Detect Sql Injection Attack
Most of the applications used on the internet are Web-Based Applications, that accept critical information from users and store this information in databases.
زاهر الشامي +1 more
doaj
TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System
TopoMAS is an interactive multi‐agent framework that revolutionizes topological materials discovery through human–AI collaborative intelligence. The system integrates natural language processing, knowledge retrieval from literature and databases, crystal structure generation, and automated first‐principles calculations within a unified workflow.
Baohua Zhang +5 more
wiley +1 more source
Self‐Driving Development of Perfusion Processes for Monoclonal Antibody Production
ABSTRACT The development of autonomous agents in bioprocess development is crucial for advancing biopharma innovation. Time and resources required to develop and transfer a process for clinical material generation can be significantly decreased. While robotics and machine learning have greatly accelerated drug discovery and initial screening, the later
Chethana Janardhana Gadiyar +10 more
wiley +1 more source
ABSTRACT As software applications get increasingly connected and complex, cybersecurity becomes more and more important to consider during development and evaluation. Software engineers need to be aware of various security threats and the countermeasures that can be taken to mitigate them.
Raffaela Groner +5 more
wiley +1 more source
This paper proposes SQLi‐ScanEval Framework, a standardized SQLi detection system that integrates vulnerability and penetration testing scanners into a standardized framework. It tested seven prominent SQLi vulnerability scanners including OWASP ZAP, Wapiti, Vega, Acunetix, Invicti, Burp Suite, and Arachni on two prominent vulnerable testing ...
Hajira Bashir +6 more
wiley +1 more source

