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Towards Accelerating Intrusion Detection
4 k; ~! F' |% h% ?9 C6 `, W6 ZOperations at the Edge Network using FPGAs
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In the current paper, we present our work towards
4 V9 U$ S5 K. @3 S, `- I' daccelerating intrusion detection operations at the edge network 6 e5 E* C. J3 N' @$ B6 a
using FPGAs. Cloud computing and network function
' d- X! p0 G. q; Q# Xvirtualization have led to a new appealing paradigm for service
V* q" z* E) W& ]# Sdelivery and management. Unfortunately, this paradigm fails : A$ f9 e2 G7 G7 m' \
to correctly support IoT applications and services that seek " j2 f l% `/ r5 f
better communication platforms. Security as a Service can also , J6 V9 z" f0 K* z2 x: N
be seen as a cloud-based model that needs to be accommodated % a$ y( h5 W3 H: Q1 B$ g$ G
to fulfill these services requirements. Again, one of the main
2 [/ _8 _8 L' m! L) a/ Zissues to be addressed in this context is how to improve the ) m0 a0 y W: T9 A/ K
performance of such systems or services in order to make them 6 f/ x' m/ z& X) a! I
capable of coping with the huge amount of data while ) Y3 _$ b' _; E3 G6 D: Z
remaining reliable. A potential solution is the FPGA based ( K' Y7 {9 k3 s4 m% F
edge computing, which is a powerful combination offering $ v5 o8 a7 C- J9 {7 M$ E
FPGA acceleration capabilities together with edge and fog
+ J2 K. E- Z5 q3 O: t+ q8 Jbenefits. Indeed, our work focusses on devising an Intrusion 8 m: F c* N& R0 V- Z4 A4 k
Prevention architecture called FORTISEC (40SEC), that is
+ P0 k b0 |- U; s$ s) n0 n- _- u" qmeant to operate in a completely softwarized as well as in an
6 U7 Y6 @& m: n! Q8 E$ k wFPGA mode. Thereby, we present suitable algorithms, design
4 N" C5 A' Z9 Qprinciples and well defined components towards the , A( G7 }, ], E8 n$ G$ s
implementation of accelerated intrusion prevention on the
- \3 n2 ^& y% h/ M( X0 |3 ^edge. We also present a testbed being utilized for the
! H- [6 b! U1 H1 Z6 Cimplementation of 40SEC and its performance testing.
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