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

Photo switchable Azobenzene Conjugated Matrices for Affinity Chromatography: Synthesis, Characterization and Studies
Photo switchable Azobenzene Conjugated Matrices for Affinity Chromatography: Synthesis, Characterization and Studies
Development of Secure and Authenticated Encryption Scheme for Lightweight Applications
Development of Secure and Authenticated Encryption Scheme for Lightweight Applications
Search and Rescue Robot
Search and Rescue Robot
Oncogene Sensing and Finger Printing from Saliva Using Nanotechnology-enabled Using Raman Spectroscopy
Oncogene Sensing and Finger Printing from Saliva Using Nanotechnology-enabled Using Raman Spectroscopy
MedSIM Overview
MedSIM Overview
Admissions Apply Now