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Towards Accelerating Intrusion Detection
0 ]. f. \( w& W ]2 e) }Operations at the Edge Network using FPGAs
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0 v* c+ A5 m7 I In the current paper, we present our work towards
; W2 R* a$ a* R$ W2 U7 daccelerating intrusion detection operations at the edge network , @" v/ }+ \. Y5 s+ K3 G# E4 t. `
using FPGAs. Cloud computing and network function
7 g, P* l6 C V J! j% m# mvirtualization have led to a new appealing paradigm for service
1 C1 P: B" } K, I! u) T; edelivery and management. Unfortunately, this paradigm fails
% p0 C" f, R/ G1 N vto correctly support IoT applications and services that seek * S* }+ i- J- f
better communication platforms. Security as a Service can also
1 d7 B' V7 u6 K% V$ Ibe seen as a cloud-based model that needs to be accommodated
! [! S: c3 h( j# L' g" rto fulfill these services requirements. Again, one of the main 7 g2 x& ]4 E( V: o$ \$ N, g
issues to be addressed in this context is how to improve the + c2 A) B" I X! L
performance of such systems or services in order to make them
4 H; | ^$ s- e$ ocapable of coping with the huge amount of data while . I: s: R! M; R5 S% c
remaining reliable. A potential solution is the FPGA based
# V# ^7 ]8 [0 x$ x a& s% tedge computing, which is a powerful combination offering
( z& y! L+ t4 d4 b: z( c( Z% y( t! JFPGA acceleration capabilities together with edge and fog ) r S, ~1 a n: @; | M8 T' Y2 H
benefits. Indeed, our work focusses on devising an Intrusion ( G4 l$ r: ~7 p9 ]! n! A/ Y
Prevention architecture called FORTISEC (40SEC), that is
; c2 j, a: {3 Imeant to operate in a completely softwarized as well as in an 3 M- ?) z; D. e7 K0 D( h6 C
FPGA mode. Thereby, we present suitable algorithms, design / ]2 ]2 D5 g$ S2 x
principles and well defined components towards the
0 a% E3 E; _$ l% p: w# rimplementation of accelerated intrusion prevention on the
- v. Z5 E" a0 T- a6 H/ xedge. We also present a testbed being utilized for the & i" f: a9 D1 M4 P1 U% `' z
implementation of 40SEC and its performance testing.
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