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

Enhancing QoS in Long-Range Ocean Wireless Communication Networks: A Performance Evaluation
Enhancing QoS in Long-Range Ocean Wireless Communication Networks: A Performance Evaluation
Mudra-Hand Gesture Based Wheelchair Navigation
Mudra-Hand Gesture Based Wheelchair Navigation
Wireless Time-sensitive Networks for reliable low latency communications in a Smart Hospital
Wireless Time-sensitive Networks for reliable low latency communications in a Smart Hospital
Measuring Learning
Measuring Learning
An exploratory clinical study to determine the utility of heart rate variability analysis in the assessment of doṣa imbalance
An exploratory clinical study to determine the utility of heart rate variability analysis in the assessment of doṣa imbalance
Admissions Apply Now