[Idnet] Call for interest in an Advanced Workshop on Machine Learning For Network Security

Albert Ali Salah <salah@boun.edu.tr> Fri, 12 May 2017 14:22 UTC

Return-Path: <salah@boun.edu.tr>
X-Original-To: idnet@ietfa.amsl.com
Delivered-To: idnet@ietfa.amsl.com
Received: from localhost (localhost []) by ietfa.amsl.com (Postfix) with ESMTP id 9427912EBAB for <idnet@ietfa.amsl.com>; Fri, 12 May 2017 07:22:55 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: 1.298
X-Spam-Level: *
X-Spam-Status: No, score=1.298 tagged_above=-999 required=5 tests=[BAYES_50=0.8, RCVD_IN_SORBS_SPAM=0.5, RP_MATCHES_RCVD=-0.001, SPF_HELO_PASS=-0.001, SPF_PASS=-0.001, URIBL_BLOCKED=0.001] autolearn=no autolearn_force=no
Received: from mail.ietf.org ([]) by localhost (ietfa.amsl.com []) (amavisd-new, port 10024) with ESMTP id vFoWD8pCFG_K for <idnet@ietfa.amsl.com>; Fri, 12 May 2017 07:22:51 -0700 (PDT)
Received: from smtp.boun.edu.tr (ispinoz.cc.boun.edu.tr [IPv6:2001:a98:8010:ccd0::16]) (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits)) (No client certificate requested) by ietfa.amsl.com (Postfix) with ESMTPS id EA12612EBC9 for <IDNET@ietf.org>; Fri, 12 May 2017 07:17:54 -0700 (PDT)
Received: from mail-io0-f176.google.com (mail-io0-f176.google.com []) by smtp.boun.edu.tr (Postfix) with ESMTPSA id 8E9B542EAD for <IDNET@ietf.org>; Fri, 12 May 2017 17:17:50 +0300 (+03)
Received: by mail-io0-f176.google.com with SMTP id o12so40957696iod.3 for <IDNET@ietf.org>; Fri, 12 May 2017 07:17:50 -0700 (PDT)
X-Gm-Message-State: AODbwcCPEOJEuRIIQ/yi+WMDAfjM654kSfkW1QBsB1TSTxex7ST7O2JE 71Y1QKFEefSRjqrJ2eTElsPc25X97g==
X-Received: by with SMTP id s132mr4641859iod.22.1494598668481; Fri, 12 May 2017 07:17:48 -0700 (PDT)
MIME-Version: 1.0
Reply-To: salah@boun.edu.tr
Received: by with HTTP; Fri, 12 May 2017 07:17:18 -0700 (PDT)
From: Albert Ali Salah <salah@boun.edu.tr>
Date: Fri, 12 May 2017 17:17:18 +0300
X-Gmail-Original-Message-ID: <CAL5UYmx0qHynh8P_8_mo+RVL2HQa4qCgQ00gmk+_JC27c-0j9Q@mail.gmail.com>
Message-ID: <CAL5UYmx0qHynh8P_8_mo+RVL2HQa4qCgQ00gmk+_JC27c-0j9Q@mail.gmail.com>
To: IDNET@ietf.org, connectionists@cs.cmu.edu
Content-Type: text/plain; charset="UTF-8"
Archived-At: <https://mailarchive.ietf.org/arch/msg/idnet/35LfWJdo9dpFZxMcZBQYlaK_z4c>
Subject: [Idnet] Call for interest in an Advanced Workshop on Machine Learning For Network Security
X-BeenThere: idnet@ietf.org
X-Mailman-Version: 2.1.22
Precedence: list
List-Id: "The IDNet \(Intelligence-Defined Network\) " <idnet.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/idnet>, <mailto:idnet-request@ietf.org?subject=unsubscribe>
List-Archive: <https://mailarchive.ietf.org/arch/browse/idnet/>
List-Post: <mailto:idnet@ietf.org>
List-Help: <mailto:idnet-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/idnet>, <mailto:idnet-request@ietf.org?subject=subscribe>
X-List-Received-Date: Fri, 12 May 2017 14:46:24 -0000

We are planning to organize a NATO Science for Peace and Security
(SPS) Programme Advanced Workshop that brings together machine
learning and network security experts to advance the state of the art
in this area.

Typically, network intrusion detection systems (IDS) and intrusion
prevention systems (IPS) work by pattern matching, and maintain
signatures of different attack types in a centralized and widely used
database. Such databases are regularly updated with new attack
patterns, as soon as they are known. There are several open source
platforms that can handle large volumes of network traffic, and became
industry standards. However, attackers constantly adapt their
approaches. These platforms need to be extended or supplemented with
flexible, adaptive machine learning solutions.

The planned topics are for the workshop are:
-Fast machine learning approaches for network anomaly detection
-Deep learning systems for detection of network attacks
-Approaches for integrating CRM and network data for network security
-Algorithms for attack type classification
-DDOS attacks generated by IoT devices
-Machine learning for security on software defined networking and NFV
-Data and analytics driven network security

We are collecting expressions of interest at the moment, either to be
a speaker or a participant in such an event. The workshop will be
followed by focused sessions to discuss joint project collaborations
for the NATO SPS program. We are hoping to make some travel funding
available for the participants. If you are interested in machine
learning and network security, please contact A.A. Salah
(salah@boun.edu.tr, Bogazici University) or S. Kuran
(sukru.kuran@agu.edu.tr, Abdullah Gul University) until 25 May, 2017.
We will determine the time & location of the workshop based on the

Dr. Albert Ali Salah
Bogazici University, Computer Engineering Dept.
34342 Bebek  - Istanbul, Turkey
Phone: +90 212 359 (7774)
Bogazici University, Cognitive Science MA Program