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Today's Topics:
1. Fwd: FP7 ONTIC project. PhD Open positions. (MERITXELL VINYALS)
2. please post on DMANET (Fran Rosamond)
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Message: 1
Date: Thu, 27 Feb 2014 10:08:02 +0000
From: MERITXELL VINYALS <meritxell.vinyals@gmail.com>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] Fwd: FP7 ONTIC project. PhD Open positions.
Message-ID: <530F0E82.6060105@gmail.com>
Content-Type: text/plain; charset=windows-1252; format=flowed
Dear all,
Technical University of Madrid offers a Ph.D. studentship for 3 years in
the context of the FP7 ONTIC project.
-----------------------------
TITLE
-----------------------------
Online Network Traffic Classification
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KEYWORDS
-----------------------------
Big Data Analytics, Scalability, Network Traffic Classification, Data
Stream Mining, Machine Learning
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RESEARCH DESCRIPTION
-----------------------------
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 funded 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.
-----------------------------
REFERENCES
-----------------------------
- 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.
-----------------------------
SKILLS
-----------------------------
Machine learning, Distributed computing systems, Distributed
algorithms, Java and/or C programming
-----------------------------
LOCATION AND SALARY
-----------------------------
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 Polit?cnica 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.
-----------------------------
APPLICATION
-----------------------------
Applicants are requested to submit the documents below by e-mail to
ontic-project@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)
-----------------------------
CONTACT
-----------------------------
Please contact Dr. Alberto Mozo for further information
a.mozo@upm.es
-------
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@upm.es
------------------------------
Message: 2
Date: Thu, 27 Feb 2014 18:17:01 +0800 (SGT)
From: Fran Rosamond <mathgypsie@yahoo.com>
To: DMANET@zpr.uni-koeln.de
Subject: [DMANET] please post on DMANET
Message-ID:
<1393496221.94900.YahooMailBasic@web195005.mail.sg3.yahoo.com>
Content-Type: text/plain; charset=utf-8
*Call for Papers*
SPECIAL ISSUE ON PARAMETERIZED COMPLEXITY
Manuscripts are invited for a Special Issue on Parameterized Complexity published by the "Tsinghua Science and Technology".
The field of parameterized complexity is a vibrant research area and has witnessed a tremendous growth in the last two decades.
It has become a central area in theoretical computer science, with applications to bioinformatics, artificial intelligence and many other areas.
The Special Issue invites regular and survey papers pertaining to parameterized complexity, for example, Design and analysis of
parameterized and kernelization algorithms, Complexity and lower bounds, Connections between parameterized complexity and
approximation. Other topics in parameterized complexity are also welcome.
The Special Issue will have a dedication to Professor Janier Chen, Texas A&M University and Central South University of China,
on the occasion of his 60th birthday, in recognition of his valuable contributions to the field of parameterized complexity.
"Tsinghua Science and Technology" began publication in 1996. It is an international academic journal published bimonthly by
Tsinghua University, one of the most prestigious universities in China. This journal aims at presenting state-of-art scientific
achievements in computer science and other IT fields. "Tsinghua Science and Technology" has published fourteen Special Issues
and Special Sections on hot topics. They are available at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5971803.
IMPORTANT DATES
Submission deadline: April 15, 2014
Notification date: May 15, 2014
Final version due: June 1, 2014
Publication date: August 1, 2014
SUBMISSION GUIDELINES
Papers submitted for possible publication must be original and must not be under consideration for publication in any other journals.
Prospective authors should submit an electronic copy of their complete manuscript in PDF format to one of the guest editors with
the email subject ?Tsinghua Science and Technology Special Issue On Parameterized Complexity?. Submissions must be received
by April 15, 2014. This is a hard deadline. Manuscripts should be prepared according to the guidelines of "Tsinghua Science and
Technology" with a LaTex template. Please communicate with any of the Guest Editors if you plan to submit an article.
GUEST EDITORS
Liming Cai, University of Georgia, Email: cai@cs.uga.edu
Frances Rosamond, Charles Darwin University, Email: frances.rosamond@cdu.edu.au
Iyad Kanj, DePaul University, Email: ikanj@cs.depaul.edu
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