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Towards Accelerating Intrusion Detection
2 r0 r R5 b/ Q" D% z4 K& bOperations at the Edge Network using FPGAs 1 p1 H' H+ K$ g4 `$ f1 O
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# n& u+ K% }/ T; |6 X* c8 ] In the current paper, we present our work towards 9 }; W8 F9 c* u
accelerating intrusion detection operations at the edge network
4 w4 B7 [' X/ R) H+ r' Qusing FPGAs. Cloud computing and network function
8 z0 X/ b& m3 C3 M: `* nvirtualization have led to a new appealing paradigm for service 6 h" G5 O. F& Z1 k; N
delivery and management. Unfortunately, this paradigm fails
2 r2 ^. P4 n7 r) g5 i/ ^to correctly support IoT applications and services that seek
4 U- m4 l* W7 w/ ]better communication platforms. Security as a Service can also
& P% C( @% J7 Ube seen as a cloud-based model that needs to be accommodated 3 p+ e3 `+ e, L2 `: M
to fulfill these services requirements. Again, one of the main
% l I% h. ?; `$ missues to be addressed in this context is how to improve the ' i5 |9 T5 }- I( T1 v& a5 {
performance of such systems or services in order to make them % l( z( R) Q* j B1 k" s
capable of coping with the huge amount of data while
6 m; A. Q2 V) u; |: ]' d3 T1 q7 F5 Rremaining reliable. A potential solution is the FPGA based
! F f3 Y/ {! W. n8 _+ s7 C/ K: sedge computing, which is a powerful combination offering ; y' a- p% x8 ?8 k, t* n( i
FPGA acceleration capabilities together with edge and fog 7 ^: P1 s8 }" u9 \0 Z1 @
benefits. Indeed, our work focusses on devising an Intrusion & X4 z M5 P3 i5 ]+ l2 b
Prevention architecture called FORTISEC (40SEC), that is
2 Y( ~% [# a, N6 e8 G% Emeant to operate in a completely softwarized as well as in an 1 u1 c2 a( C2 A1 E/ N
FPGA mode. Thereby, we present suitable algorithms, design
& m, i* d2 q2 n8 O$ Aprinciples and well defined components towards the
$ L; t- y3 u1 R" Z Y; jimplementation of accelerated intrusion prevention on the
5 w) R9 X; Y' Yedge. We also present a testbed being utilized for the : X/ P- U- h: K, G. {8 D. D( F
implementation of 40SEC and its performance testing. O$ S2 r, A1 H; G
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