Chromate replacement in coatings for corrosion protection of aerospace aluminium alloys

Mixed rare earth organophosphates have been investigated as potential corrosion inhibitors for AA2024-T3 with the aim of replacing chromate-based technologies. Cerium diphenyl phosphate (Ce(dpp) 3) and mischmetal diphenyl phosphate (Mm(dpp) 3) were added to epoxy coatings applied to AA2024-T3 panels and they were effective in reducing the amount and rate of filiform corrosion in high humidity conditions. Ce(dpp) 3 was the most effective and characterisation of the coating formulations showed approximately a factor of 5 reduction in both the number of corrosion filaments initiated as well as the length of these. Mm(dpp) 3 appeared to reduce the corrosion growth rate by a factor of 2 although it was the more effective inhibitor in solution studies. Spectroscopic characterisation of the coatings indicated that the cerium based inhibitor may disrupt network formation in the epoxy thus resulting in a coating that absorbed more water and allowed greater solubilisation of the corrosion inhibiting compound.

Web application protection against SQL injection attack

SQL injection vulnerabilities poses a severe threat to web applications as an SQL Injection Attack (SQLIA) could adopt new obfuscation techniques to evade and thwart countermeasures such as Intrusion Detection Systems (IDS). SQLIA gains access to the back-end database of vulnerable websites, allowing hackers to execute SQL commands in a web application resulting in financial fraud and website defacement. The lack of existing models in providing protections against SQL injection has motivated this paper to present a new and enhanced model against web database intrusions that use SQLIA techniques. In this paper, we propose a novel concept of negative tainting along with SQL keyword analysis for preventing SQLIA and described our that we implemented. We have tested our proposed model on all types of SQLIA techniques by generating SQL queries containing legitimate SQL commands and SQL Injection Attack. Evaluations have been performed using three different applications. The results show that our model protects against 100% of tested attacks before even reaching the database layer.