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

Design of Interlocking Plastic Bricks for Toilet Construction
Design of Interlocking Plastic Bricks for Toilet Construction
sEMG based segmentation parameter influence on Hand gesture recognition using Deep Learning
sEMG based segmentation parameter influence on Hand gesture recognition using Deep Learning
WE: CSDP–Community Sanitation
WE: CSDP–Community Sanitation
Development of Bronze Alloys and Comparison of Their Mechanical and Wear Properties
Development of Bronze Alloys and Comparison of Their Mechanical and Wear Properties
Identification of Novel Cell Surface Molecules of Therapeutic Significance in Central Nervous System Leukemia
Identification of Novel Cell Surface Molecules of Therapeutic Significance in Central Nervous System Leukemia
Admissions Apply Now