[TYPES/announce] FP7 ONTIC project. PhD Open positions.

[ALBERTO MOZO VELASCO]

Dear all,

Technical University of Madrid offers a Ph.D. studentship for 3 years in 
the context of the FP7 ONTIC project.

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TITLE
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Online Network Traffic Classification

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KEYWORDS
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Big Data Analytics, Scalability, Network Traffic Classification, Data
Stream Mining, Machine Learning

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RESEARCH DESCRIPTION
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The research will be conducted at the Technical University of Madrid,
within the Internet Next Generation Research Group at E.T.S. Sistemas
Informaticos and founded by the ONTIC European Project (FP7).

Accurate identification and categorization of network traffic according
to application type is an important element of many network management
and engineering tasks related with QoS, capacity planning and detection
of network attacks.

Terabytes of data may be transferred through the core network of a
typical ISP every day. Moreover, it is expected an exponential growth of
more than 50 billions of connected devices to Internet. Therefore, this
scenario hampers network data capture and analysis.

ONTIC (Online Network TraffIc Characterization) project investigates:

1)
A novel architecture of scalable mechanisms and techniques to be
able to a) characterize online network traffic data streams, identifying
traffic patterns evolution, and b) proactively detecting anomalies in
real time when hundreds of thousands of packets per second are
processed.

2)
A completely new set of scalable offline data mining mechanisms and
techniques to characterize network traffic, applying a Big Data
analytics approach and using distributed computation paradigms in the
cloud on extremely large network traffic summary datasets consisting on
trillions of records.

Under the context of the project, the proposed Ph.D. project aims at
investigating and proposing a new set of online and offline algorithms
and machine learning techniques to build autonomous network traffic
characterization systems while tackling scalability and real time
network traffic issues in a Big Data analytics scenario.


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REFERENCES
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- Pedro Casas, Johan Mazel, Philippe Owezarski, Unsupervised Network
Intrusion Detection Systems: Detecting the Unknown without Knowledge,
Computer Communications, Volume 35, Issue 7, 1 April 2012.

- Casas, P.; Mazel, J.; Owezarski, P., "Knowledge-independent traffic
monitoring: Unsupervised detection of network attacks," Network, IEEE ,
vol.26, no.1, pp.13,21, January-February 2012.

- Johan Mazel, Pedro Casas, Yann Labit, Philippe Owezarski: Sub-Space
clustering, Inter-Clustering Results Association & anomaly correlation
for unsupervised network anomaly detection. CNSM 2011.

- Pedro Casas, Johan Mazel, Philippe Owezarski: On the use of Sub-Space
Clustering & Evidence Accumulation for traffic analysis &
classification. IWCMC 2011.

- Apiletti, D., Baralis, E., Cerquitelli, T., & D’Elia, V.
Characterizing network traffic by means of the NetMine framework.
Computer Networks, 53(6), 2009.

- Nigel Williams, Sebastian Zander, and Grenville Armitage. 2006. A
preliminary performance comparison of five machine learning algorithms
for practical IP traffic flow classification. SIGCOMM Comput. Commun.
Rev. 36, 5 (October 2006).

- Jeffrey Erman, Anirban Mahanti, Martin Arlitt, Ira Cohen, and Carey
Williamson. Semi-supervised network traffic classification. In
Proceedings of the 2007 ACM SIGMETRICS, 2007.

- Nguyen, Thuy TT, and Grenville Armitage. "A survey of techniques for
internet traffic classification using machine learning." Communications
Surveys & Tutorials, IEEE 10.4 ( 2008 ).


(*) P. Owerzarski, E. Baralis and D. Apilietti are part of the ONTIC
Consortium.

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SKILLS
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Machine learning, Distributed computing systems, Distributed
algorithms, Java and/or C programming

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LOCATION AND SALARY
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A Ph.D. studentship for 3 years is available. The monthly gross salary
is approximately 1900 Euro. The successful candidate will join the
Internet Next Generation Research Group in the E.T.S.I. Sistemas
Informaticos at Technical University of Madrid, Spain.

Technical University of Madrid (Universidad Politécnica de Madrid,
UPM) is the oldest and largest Spanish technical university, with more
than 4.000 faculty members, around 38.000 undergraduate students and
6.000 postgraduates. UPM benefits from the heritage of its schools: the
most ancient ones were founded in the 18th.century. Nowadays UPM’s
Schools cover most of engineering disciplines, as well as Architecture,
Computer Science and Geodesy & Cartography. Moreover, UPM as a top
quality academic establishment has a strong commitment to R&D and
Innovation, boasting over 225 Research Units and over 10 Research
Institutes and Technological Centres, contributing significantly to the
international scientific community with a high number of journal papers,
conference communications, and PhD theses.  The UPM researchers have
large expertise in research projects participation both at national and
international level.

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APPLICATION
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Applicants are requested to submit the documents below by e-mail to
ontic-project at eui.upm.es
with subject “[PhD.ONTIC] Candidate”.

The deadline to accept candidatures is March 14th, 2014.

- Resume
- Master thesis
- Master's grades
- Recommendation letters
- Publications (if any)

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CONTACT
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Please contact Dr. Alberto Mozo for further information
a.mozo at upm.es

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Alberto Mozo
ONTIC FP7 Coordinator
Associate Professor
Department Arquitectura y Tecnologia de Computadores
Assistant Director for Postgraduate Studies and Research
E.U. Informatica / E.T.S.I. Sistemas Informaticos,
Campus Sur. Universidad Politecnica de Madrid,
Camino Arboleda s/n 28031, Madrid, Spain
Email: a.mozo at upm.es