Συντάχθηκε 21-09-2012 10:07
από Galateia Malandraki
Email συντάκτη: gmalandraki<στο>tuc.gr
Ενημερώθηκε:
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Ιδιότητα: υπάλληλος ΑΡΜΗΧ.
ΠΟΛΥΤΕΧΝΕΙΟ ΚΡΗΤΗΣ
Τμήμα Ηλεκτρονικών Μηχανικών & Μηχανικών Υπολογιστών
ΠΑΡΟΥΣΙΑΣΗ ΔΙΠΛΩΜΑΤΙΚΗΣ ΕΡΓΑΣΙΑΣ
Δημήτριου – Στέφανου Δασκαλάκη
με θέμα
Snort DPI on FPGA with GigE
Δευτέρα 24 Σεπτεμβρίου 2012, 11πμ
Αίθουσα 145.Π42, Κτίριο Επιστημών, Πολυτεχνειούπολη
Εξεταστική Επιτροπή
Αναπλ. Καθ. Ιωάννης Παπαευσταθίου (επιβλέπων)
Καθ. Απόστολος Δόλλας
Καθ. Διονύσιος Πνευματικάτος
Abstract
Massive growth in data processing power and new cyber threats have spurred the
deployment of Deep Packet Inspection (DPI) technologies. These technologies are
currently used by network intrusion detection and prevention systems, like (NIDS, IPS,
IDPS), to efficiently filter inbound and outbound traffic and prevent sophisticated
intrusions, such as Denial of Service (DoS) and buffer overflow attacks. Additionally,
these systems require to operate at high speed to avoid a reduction of the Quality of
Service (QoS), packet loss and additional latency.
In this Diploma thesis we present a customizable hardware DPI system, designed to
support multi-layer packet decoding combined with multiple pattern matching against
the transport-layer payload. Additionally, we incorporate a DPI configuration tool for
automatic hardware code generation, to increase the adjustability to new rules and
reduce maintenance. The tool creates the “header” and “pattern” matching files, from
Snort compatible rules.
Finally, we evaluate our approach by instantiating a 750 rule configuration on a Virtex 5
FPGA with a 1Gbps GigE network interface. The results show that we met the time
requirements, as there is no decrease at the throughput with only a store-and-forward
delay.
Συνημμένα:
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Diplomatiki-Anakoinwsi_Daskalakis.pdf
Μεταφορτώσεις: 180,
Μέγεθος: 48 KB application/pdf
