Anna Sperotto

From SimpleWiki
Jump to navigationJump to search
Student: Anna Sperotto
Title: High-Speed Self-Learning Network Intrusion Detection
Affiliation: UT
Supervisor: Aiko Pras
Start: 2006
End: 2010
Funding: UT


Anna Sperotto is a PostDoc researcher at the Design and Analysis of Communication Systems (DACS) group, at the University of Twente, The Netherlands. Anna obtained her PhD in October 2010 at the University of Twente, and her BSc and MSc in Computer Science at the University Ca' Foscari, Venice, Italy.

Anna's main topics of interest are Network Security, Monitoring and Modeling.

PhD project description

Intrusion Detection (ID) aims to recognise malicious activities in the monitored system, through the analysis of massive quantities of data (audit data, log files, network packets, flows). In particular, in the past few year there has been an increasing interest in ID for IP networks, in order to provide a secure network environment and services. The first phase of ID saw 10/100Mbps networks as protagonists: the wire speed permitted a deep inspection of all the traffic, as well as the amount of data allowed the researchers to consider payload based analysis methodologies. Nowadays, this scenario is not exhaustive anymore. This PhD project, in front of the the spread of 1-10Gbps technology and the offer of new on-line services, faces the necessity of developing systems that can cope with the always increasing network speed and quantity of data to be analysed. The most promising approach to this problem is in our opinion the use of aggregated network information, as it is with flow-based techniques. At the same time, this PhD project also aims to address the problem of adaptability in high-speed networks, i.e. self-learning solutions that permit a fast reconfiguration of the system in order to recognise new threats and reduce the need of human interaction.

Recent publications

  1. Moreira Moura, G. C., and Sperotto, A., and Sadre, R. and Pras, A. Evaluating Third- Party Bad Neighborhood Blacklists for Spam Detection In: 13th IFIP/IEEE International Symposium on Integrated Network Management (IM 2013), 27-31 May 2013, Ghent, Brussel
  2. Hofstede, R., and Drago, I., and Sperotto, A., and Sadre, R. and Pras, A. Measurement Artifacts in NetFlow Data In: Proceedings of the Passive and Active Measurement conference (PAM 2013), 18-20 May 2013, Hong Kong, China **Best Paper Award**
  3. Drago, I. and Mellia, M. and Munafò, M. M. and Sperotto, A. and Sadre, R. and Pras, A. Inside Dropbox: Understanding Personal Cloud Storage Services. In: Proceedings of the 12th ACM Internet Measurement Conference - IMC'12, Boston, Nov. 2012 **Awarded with the IRTF Applied Networking Research Prize 2013**
  4. Hellemons, L., Hendriks, L., Hofstede, R., Sperotto, A., Sadre, R., and Pras, A. SSHCure: A Flow-Based SSH Intrusion Detection System In: Proceedings of the 6th International Conference on Autonomous Infrastructure, Management and Security (AIMS 2012) **Best Paper Award**
  5. Sperotto, A. and Mandjes, M. and Sadre, R. and de Boer, P.T. and Pras, A. Autonomic Parameter Tuning of Anomaly-Based IDSs: an SSH Case Study , In IEEE Transactions on Network and Service Management (2012)

You can find a complete list of publications here.

External links