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Towards Accelerating Intrusion Detection
1 f% n* O3 G7 x/ [" B% jOperations at the Edge Network using FPGAs 9 A9 A$ |; D( Y/ x: _
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In the current paper, we present our work towards + z7 Y2 l3 j+ S) q- @* n1 W) d
accelerating intrusion detection operations at the edge network 0 \+ @ x( y& h4 j" S
using FPGAs. Cloud computing and network function - c6 t6 B2 b4 M9 r' W3 E
virtualization have led to a new appealing paradigm for service
! t- F) `. t/ i0 ydelivery and management. Unfortunately, this paradigm fails 9 } E7 d; a8 f; U( C
to correctly support IoT applications and services that seek ( }) x8 ]/ y4 F$ d
better communication platforms. Security as a Service can also 1 V+ w. } ?9 l0 ^2 a
be seen as a cloud-based model that needs to be accommodated 0 A: V# Q" J% K5 k7 g! n0 S+ |1 _
to fulfill these services requirements. Again, one of the main " Y$ Q8 b. p1 f6 y9 Y% K6 _, ?
issues to be addressed in this context is how to improve the
9 y" B m6 p* @5 [# t& q/ Gperformance of such systems or services in order to make them
6 J. |+ |! ]' _" g& i: X1 Jcapable of coping with the huge amount of data while 4 t5 e* \# l9 P- [
remaining reliable. A potential solution is the FPGA based 5 M; k0 k# w" n
edge computing, which is a powerful combination offering 4 C$ p2 s3 @& W! Q& o. t
FPGA acceleration capabilities together with edge and fog 0 S0 c. ^% [: S) A2 v9 h
benefits. Indeed, our work focusses on devising an Intrusion , X; k7 { J6 Z& M# l
Prevention architecture called FORTISEC (40SEC), that is
% }6 E4 ~! [+ t* R2 {; L1 Bmeant to operate in a completely softwarized as well as in an
) [, i+ [3 _1 k( FFPGA mode. Thereby, we present suitable algorithms, design 9 t6 `" _8 \% k' h6 g3 q
principles and well defined components towards the 8 s4 E+ N; J8 Z4 m9 f$ U
implementation of accelerated intrusion prevention on the ! D& p! i0 t! ~, Q& \+ C
edge. We also present a testbed being utilized for the
: D. K* J W- S# W$ q5 bimplementation of 40SEC and its performance testing. * @7 c3 {( Z8 R8 |# Q' ]
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