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Towards Accelerating Intrusion Detection
8 A& I( d0 ~( H, K/ \" yOperations at the Edge Network using FPGAs . u" c6 X- R& {7 n# N+ t: k$ E
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In the current paper, we present our work towards
' l% y% j! f6 z4 k8 M0 }& ?accelerating intrusion detection operations at the edge network
, O& w: B" s# I' t- Z+ f1 }using FPGAs. Cloud computing and network function ) l! e& [9 R. i' v4 W
virtualization have led to a new appealing paradigm for service
* B6 Y& x3 l; e. I% p Fdelivery and management. Unfortunately, this paradigm fails
, @4 p% U6 x0 T" [6 N3 M. {6 Uto correctly support IoT applications and services that seek * ?* E9 l6 P3 c, x& p# d" H
better communication platforms. Security as a Service can also
% e" p& C- a& g- H B$ b! ]be seen as a cloud-based model that needs to be accommodated
$ u4 z4 G* U% s7 J/ [3 j2 @to fulfill these services requirements. Again, one of the main 9 \- s7 |/ v( Q; L! V% J {
issues to be addressed in this context is how to improve the
# b- L0 d6 z9 e' h# G* C; `performance of such systems or services in order to make them
- S8 N9 z& d) l* G. T5 V: o* N5 Tcapable of coping with the huge amount of data while
/ u* c/ J5 V7 l0 Hremaining reliable. A potential solution is the FPGA based w) X8 a) X; A- r* T
edge computing, which is a powerful combination offering
8 H7 q o3 S* {0 N# w3 WFPGA acceleration capabilities together with edge and fog
9 i3 ]; p' Q0 N% {4 ?4 Tbenefits. Indeed, our work focusses on devising an Intrusion : T6 x1 h6 H, A/ I9 ~! `
Prevention architecture called FORTISEC (40SEC), that is " e$ V2 U$ M) ?- N* a$ H
meant to operate in a completely softwarized as well as in an 2 [! Z" }; ]2 G
FPGA mode. Thereby, we present suitable algorithms, design / {( I! k/ N6 R+ F7 l
principles and well defined components towards the
* a( t( ?5 a. kimplementation of accelerated intrusion prevention on the
) ?. ~. P1 [& }+ [ s9 o# Aedge. We also present a testbed being utilized for the ) X6 c/ I* |. x- C" L8 ]% o
implementation of 40SEC and its performance testing. / N. Y" \6 O$ \) }3 f. l
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