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Towards Accelerating Intrusion Detection 3 ~# T- X- a: M) F
Operations at the Edge Network using FPGAs * g% F. y+ y% s- R- e
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* C& P# ^, m7 H" I4 a' ?) u) x* _ In the current paper, we present our work towards
: _# g6 D* E* w" @9 @" V Naccelerating intrusion detection operations at the edge network ) O3 ]3 I( _" f2 W, z! b: y
using FPGAs. Cloud computing and network function
0 {7 j7 U) B& h6 I+ ? Uvirtualization have led to a new appealing paradigm for service + a7 \! b( ^& W/ M) ^# A7 F
delivery and management. Unfortunately, this paradigm fails
' S( o5 U4 w. T$ Zto correctly support IoT applications and services that seek
3 R z5 d5 P/ l7 d' Pbetter communication platforms. Security as a Service can also
6 e; z% R& w4 w" F: gbe seen as a cloud-based model that needs to be accommodated * e1 w8 \: y5 E! x- K% M
to fulfill these services requirements. Again, one of the main
7 o" z# ?( c' E$ g3 Missues to be addressed in this context is how to improve the
1 Q1 V+ r$ l3 z+ ]performance of such systems or services in order to make them + B! s3 [1 N" [6 E
capable of coping with the huge amount of data while
4 I. c1 u" R6 ]1 E: w3 `4 `remaining reliable. A potential solution is the FPGA based 9 t8 ~! Z# m7 v# @# Z
edge computing, which is a powerful combination offering * q" `+ E! T! s4 @, C6 h7 w
FPGA acceleration capabilities together with edge and fog
' C" A, p$ a4 D/ m# j2 T: B8 q8 M3 Qbenefits. Indeed, our work focusses on devising an Intrusion 2 B2 w5 A2 d2 G; \% t
Prevention architecture called FORTISEC (40SEC), that is
. h8 Q% @1 a, i7 } ?! d, Q8 Zmeant to operate in a completely softwarized as well as in an
6 h; K! ]6 R+ H a. GFPGA mode. Thereby, we present suitable algorithms, design 2 B* O! u: p# K% v. m) q4 F
principles and well defined components towards the 4 p, N7 @( j7 o7 @/ M& S& v; o, D
implementation of accelerated intrusion prevention on the / `) B3 b7 B1 R: s' V. c- \
edge. We also present a testbed being utilized for the # E$ h6 r' \: B* J3 I
implementation of 40SEC and its performance testing.
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