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Towards Accelerating Intrusion Detection / x n4 A4 j/ J" }$ i2 c& f l
Operations at the Edge Network using FPGAs % s+ o; T. e8 h) f$ e& x& w
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In the current paper, we present our work towards
' v w% H5 D6 `3 |- ^accelerating intrusion detection operations at the edge network
) U* O% `/ |4 I/ W+ n( Kusing FPGAs. Cloud computing and network function . S; r+ y; T5 X, @5 X w
virtualization have led to a new appealing paradigm for service
1 T! G% y+ v7 S& W0 Zdelivery and management. Unfortunately, this paradigm fails
, R- a) N, c7 S1 c5 @8 g& V; ?0 Vto correctly support IoT applications and services that seek ( P" h5 o8 k, b1 u
better communication platforms. Security as a Service can also
: o% g9 f }- g# n3 Nbe seen as a cloud-based model that needs to be accommodated ) o( @; D. i: b* E3 c, n
to fulfill these services requirements. Again, one of the main * o4 }& z. G2 B/ M+ e T5 g
issues to be addressed in this context is how to improve the + D0 Y0 q1 ~" S6 i: m) ^( |
performance of such systems or services in order to make them - h/ w" [* P% e( Y4 h
capable of coping with the huge amount of data while
$ X$ ]. T+ g0 s. {remaining reliable. A potential solution is the FPGA based * `) J) s0 q- p' M
edge computing, which is a powerful combination offering
( V$ N; F: U% _; @ B# v" O, MFPGA acceleration capabilities together with edge and fog ' s4 w! @9 @# M \
benefits. Indeed, our work focusses on devising an Intrusion 4 B. s+ b- b' ^& o
Prevention architecture called FORTISEC (40SEC), that is 3 x: E3 |4 o7 Z7 q( J
meant to operate in a completely softwarized as well as in an 8 N; J- g& P( O
FPGA mode. Thereby, we present suitable algorithms, design
3 l. w6 \. l# k$ O- Rprinciples and well defined components towards the
8 |. a7 J" |7 K5 z% y' T2 W0 Q# f. cimplementation of accelerated intrusion prevention on the
$ A7 {# [, Z; |% T; l/ Q1 z) Bedge. We also present a testbed being utilized for the 5 H7 L2 p% ~8 F7 y; [
implementation of 40SEC and its performance testing.
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