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DEMONS - DEcentralized, cooperative, and privacy-preserving MONitoring for trustworthiness -
Type of Project:

Collaborative Research Project within the 7th Framework Programme (FP7) of the European Commission


Partners :


Telefonica Investigación y Desarrollo, Spain
NEC Europe Ltd., United Kingdom
Consorzio Nazionale Interuniversitario per le Telecomunicazioni, Italy
Forschungszentrum Telekommunikation Wien, Austria
Telekomunikacja Polska, Poland
France Telecom, France
Institut Telecom, France
ETH Zürich, Switzerland
SingularLogic, Greece
INVEA, Czech Republic
Institute of Communication and Computer Systems, Greece
Optenet, Spain
Kyos AG, Switzerland

Duration :

September 2010 to February 2013

 

The core problem in cooperative network monitoring and mitigation is that incidents impacting the security and reliability of a given network today are complex, with threats widely distributed among attackers, intermediary systems, indirect and direct targets, all potentially lying in different organizations, parts of the network, and national jurisdictions. The legal, organizational, and technical infrastructure to respond to these incidents must therefore be distributed and cooperative.
To address all the above considerations, DEMONS envisions building a novel cooperative network monitoring and mitigation system based on a completely decentralized, application-aware, privacy-preserving, multi-jurisdictional monitoring infrastructure. Such an infrastructure will provide the detection, reporting and mitigation mechanisms needed to combat not only today's threats, but also those of tomorrow.

DEMONS’ technical approach follows a three layers design: monitoring and measurement, coordination and application. The envisioned result is a platform for rapidly developed applications tailored to specific threats, distributing measurement and analysis to the measurement edge, dynamically coordinating observation points, automatically rearranging upon monitoring nodes’ failures, and providing in-network mitigation of threats. This distribution and coordination, combined with designed-in role- and purpose-aware access control, exploitation of innovative approaches to privacy protection, and design-level awareness of legal issues in data sharing and protection, ensure that the system complies with data protection law, even across organizational and jurisdictional boundaries, protecting end-user privacy and increasing societal acceptance of the system.


NEC leads the overall DEMONS technical coordination. In addition, NEC contributes to most technical topics of DEMONS, with particular focus on decentralized coordination layer design, application layer components for anomaly detection and privacy-preservation techniques.

Decentralized coordination layer
Main NEC objectives:

  • Design and implementation of distributed overlay technologies based on P2P concepts for the scalable and resilient distribution and aggregation of data and control information.
  • Evaluation of the scalability and resilience of the solutions designed by means of simulations and test facilities.
  • Definition of cross-domain protocols for monitoring information verification and mitigation strategies enforcement in terms of information and data models.

Application layer components
Main NEC objectives:

  • Specification and development of a VoIP anomaly detection tool intended to detect operational failures and unwanted communications at application layer with specific semantics.
  • Specification of a distributed detection approach for Distributed Denial of Service (DDos) attacks, that enables early-detection of emerging attacks and identifies the sources of the malicious traffic.
  • Design of an anomaly-based application that monitors the network traffic on a per-customer basis and raises alerts when there are sudden and large-scale shifts in communication behavior, as it is the case during automated information harvesting campaigns like phishing.

Privacy preservation techniques
Main NEC objectives:

  • Specification of a framework for protecting and privately managing identity-related information (such as social contact patterns) that are derived from the monitoring data
  • Design and validation of secure collaborative computation approaches for computing functions specifically related to cross-domain monitoring functions, so that the result of the computation is public but all input data remain private.


Please find the project's pulications at the official DEMONS web site.

 

For more information please use our contact form.

Official DEMONS Web Site

 

Last modified 03-Nov-2010