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Towards Accelerating Intrusion Detection
8 r- w3 a$ v+ s) G+ @Operations at the Edge Network using FPGAs 7 Y3 J0 W7 n4 I! ]0 f
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In the current paper, we present our work towards 1 s9 [- @- R% E% m T
accelerating intrusion detection operations at the edge network
/ ~ A# Q$ A1 }6 X; W# n7 x. `using FPGAs. Cloud computing and network function
5 ^, F O. D7 ~6 Nvirtualization have led to a new appealing paradigm for service ' t b4 P) N% p* E) o
delivery and management. Unfortunately, this paradigm fails 1 A5 B5 j: ~% O I5 c, f; j
to correctly support IoT applications and services that seek
( p1 [9 S; L+ u, r0 Bbetter communication platforms. Security as a Service can also % X) k! x `7 r% P! J0 V: i
be seen as a cloud-based model that needs to be accommodated
. z b8 A" s& t" Eto fulfill these services requirements. Again, one of the main
9 T+ p' Q) s' missues to be addressed in this context is how to improve the
e( b! G2 z+ C5 D# jperformance of such systems or services in order to make them 9 K9 V4 z, t- j5 R
capable of coping with the huge amount of data while
& d/ z# S* F9 S$ R3 o6 D* ^/ Jremaining reliable. A potential solution is the FPGA based " F6 Z/ z* J" w* _
edge computing, which is a powerful combination offering : \; h1 A- E$ Z: Y1 V0 t; Z
FPGA acceleration capabilities together with edge and fog
( X2 u: o) x) j7 ~8 f" `+ Kbenefits. Indeed, our work focusses on devising an Intrusion
3 ^# K4 ?" W8 ~Prevention architecture called FORTISEC (40SEC), that is
) {0 G c2 s7 @6 G6 y# p r2 lmeant to operate in a completely softwarized as well as in an & ]; i+ c* X, L7 h2 T
FPGA mode. Thereby, we present suitable algorithms, design " |/ M$ V# R& Q* w
principles and well defined components towards the
) O" Z2 O3 E2 zimplementation of accelerated intrusion prevention on the 4 f% l+ ~6 A2 c# W/ G
edge. We also present a testbed being utilized for the . k$ a4 _' i+ K9 \
implementation of 40SEC and its performance testing.
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