C-DAC is pursuing research and development efforts in cyber security to help make IT infrastructure more resilient against growing sophisticated cyber attacks. This includes work on adaptive intrusion detection using artificial intelligence to allow systems to learn new attack patterns from network traffic analysis over time. C-DAC is also focusing on dynamic firewalls, unified threat management, and behavior-based network management. The goal is to enable detection engines to continuously adapt based on analyzing events like network traffic and host parameters.

1. Cyber Security and Cyber Forensics
Increased Internet penetration has given exponential rise in
sophisticated attacks on Information Technology (IT)
infrastructure. Attackers are gaining access to sensitive
information like credit card details and other financial
information. Smartphone attacks are growing in multiple
folds. Also with the growth of 3G services and business
transactions using mobile phones, there is a substantial
increase in mobile malware. In order to make our IT
infrastructure resilient against these threats, there is a need
for cutting-edge Research and Development efforts in Cyber
Security. C-DAC has been actively pursuing R & D in a number
of sub-areas in Cyber Security domain.
Network Security
Network Security
Network Security
C-DAC is focusing on adaptive intrusion detection, dynamic
firewall, unified threat management, and network
management using behaviour based model. This enables the
detection engines to learn new attack patterns by
continuously analyzing various events, such as, network
traffic, host parameter etc.
Intrusion Detection & Prevention:
Intrusion Detection & Prevention is concerned with
identifying intrusion into a target network or system as early
as possible, and prevent such situation as much as possible.

2. C-DAC is focusing on adaptive Intrusion Detection using
advanced concepts in artificial intelligence and data mining.
This will enable the Intrusion Detection Systems to learn new
attack patterns by continuously analyzing the network traffic
and deducing the behavior. Presently, research is also being
carried out to extend this approach to build Intrusion
Prevention System (IPS) so that it becomes more proactive,
intelligent and preventive.
C-DAC is focusing on adaptive intrusion detection, dynamic
firewall, unified threat management, and network
management using behaviour based model. This enables the
detection engines to learn new attack patterns by
continuously analyzing various events, such as, network
traffic, host parameter etc.