|Title||Network Security Workshop|
|Objective||To increase a network security awareness among APAN community members and to exchange experience and knowledge in network security technologies and issues|
|Target Audience||Researchers, scientists|
|Expected No. of Participants||20-30+ Local Participants|
|Session Chair & Speakers||11:00-12:30
1.Title: Design of a Proactive Honeypot for an early warning system
Presenter:.Hiroki Takakura, Network Division, Academic Center for Computing and Media Studies, Kyoto University, JP
2. Title: Implementation and Evaluation of Always-on IDS system against break-in attack for CAN
Presenter: Atsuo INOMATA [Japan Science and Technology agency ] and Yoshihito Oyama [University of Tsukuba]
Abstract: Recently, network security is an even more important key in the high-speed broadband Internet. Many venders provide with security equipments, software and services. If an critical incident would happen on security infrastructures and then network services suspend. And it will expected to maybe cause serious problem. In this presentation, we will talk about a design and prototype of our dynamically Always-on IDS system that it is separated Firewall from IDS to prevent the problem. Moreover we will introduce a case of our scheme against SSH attacking in our Campus Area Network.
3. Title: Are Network Level Defenses Dying?
Presenter: Kostas G. Anagnostakis, (I2R, A-STAR, Spore),
4. Title: Layered Defense against Spam
Presenter: Jianying Zhou, (Spore)
Abstract: Spam is a big problem for email users. The battle between spamming and anti-spamming technologies has been going on for many years. Though many advanced anti-spamming technologies are progressing significantly, spam is still able to bombard many email users. The problem worsens when some anti-spamming methods unintentionally filtered legitimate emails instead! In this talk, we first review existing anti-spam technologies, then propose a layered defense framework using a combination of anti-spamming methods. Under this framework, the server-level defense is targeted for common spam while the client-level defense further filters specific spam for individual users. This layered structure improves on filtering accuracy and yet reduces the number of false positives.
|Remarks(including Special arrangements if Any)||--|
Last Updated 5 Aug 2006