Back close

Backdoor Analysis of Enterprise Applications

Backdoor Analysis of Enterprise Applications

Malware forms the basis of most cyber-criminal operations causing significant financial loss and posing a huge threat to the security of an organization. Enterprise applications form the backbone of any organization. They have scaled and matured over the years providing more and more services to users. However, the threats that have plagued it has also abounded.The goal of this research is to exhaustively study the problem of backdoors as is seen in software today, to identify the various possible attack vectors, and to develop a scalable and modular framework to detect backdoors in Common Off the Shelf (COTS) software and enterprise applications alike. The framework applies known program analysis techniques such as static and dynamic analysis and uses standard data flow and control flow constructs to study the flow of information in a program to conclude for backdoors.

Related Projects

Methodological AWESOME: AI-Driven Assessment of Vulnerabilities 
Methodological AWESOME: AI-Driven Assessment of Vulnerabilities 
TECTOD – Technology enhanced Cognitive Tutoring for Dyslexics
TECTOD – Technology enhanced Cognitive Tutoring for Dyslexics
Virtual Laboratory Development  – India’s National Mission on Education Through ICT
Virtual Laboratory Development  – India’s National Mission on Education Through ICT
Total coloring conjecture for certain classes of graphs
Total coloring conjecture for certain classes of graphs
Escherichia coli Based Microfluidic Whole-cell Glucose Biosensor
Escherichia coli Based Microfluidic Whole-cell Glucose Biosensor
Admissions Apply Now