SBIR/STTR Research Award
MACE - Malicious Application Code Elimination
Award amount
$99,900Program and phase
SBIR · Phase IAward year
2004Award details
- Awarding agency
- Department of Homeland Security
- Branch
- Not reported
- Recipient company
- AVENDA SYSTEMS
- Proposal award date
- 2004-11-01
- Contract end date
- 2005-05-15
- UEI
- Not reported
- Solicitation number
- Not reported
- Topic code
- H-SB04.2-002
Research abstract
The IDS/IDP market will gain considerable traction as more organizations protect each application server instead of relying on network security. Proactive security as embodied in intrusion prevention will take a larger share of the market than reactive security as represented by intrusion detection. Avenda Systems proposes a solution called MACE (Malicious Application Code Elimination). It is a proactive real-time malicious code and payload anomaly detection system that focuses on application protocols; this will be extremely useful in defending against network attacks. This is a feature gap in the current IDS/IDP products. Avenda Systems has the expertise to develop a practical and highly effective malicious code detection system. MACE can be used by all organizations that have a computer network. The software modules developed in this project can be integrated into existing IPS/IDS solutions. The technologies employed in this product are practical and innovative and have not been implemented in commercially available comparable products. Organizations, both military and civilian enterprises, can use this system to defend their networks against attacks. Prototype development in Phase-I will provide the knowledge and foundation for building a complete product in Phase-II, and a commercially viable product in Phase-III.
Technology keywords
Not reported
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Real-time Malicious Code Detection in Network Traffic: The PAYL Payload Anomaly Detector
- Detection & Containment of Computer Epidemics Through Correlation of Communication Anomalies
- A Heuristic Approach to Detecting Anomalous Protocol Payloads