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Towards Accelerating Intrusion Detection
3 z) w9 I# J- @+ \) z. U0 o/ YOperations at the Edge Network using FPGAs
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2 ]) g1 ]) B6 U: S/ {& ` In the current paper, we present our work towards
+ N6 r: [$ n7 s# ~8 O; ?& w% naccelerating intrusion detection operations at the edge network
- R& Q x/ r, r5 i& K; z2 a9 musing FPGAs. Cloud computing and network function
) c7 H, Z a/ _9 Hvirtualization have led to a new appealing paradigm for service
+ q6 O5 O5 U1 H, R- j$ Idelivery and management. Unfortunately, this paradigm fails ) D3 u5 H/ q1 F+ ]; [0 p
to correctly support IoT applications and services that seek 6 [2 y1 q$ N* Z) n7 U
better communication platforms. Security as a Service can also 5 n3 G: R' Q7 j' e6 K
be seen as a cloud-based model that needs to be accommodated
2 c8 N! o8 b2 q& c& E kto fulfill these services requirements. Again, one of the main ! g+ _6 |4 O" [
issues to be addressed in this context is how to improve the : j3 w$ ]. C/ b. L6 u7 x
performance of such systems or services in order to make them
F$ q" t4 g! f1 ~$ ocapable of coping with the huge amount of data while - U% `& c9 n# C j
remaining reliable. A potential solution is the FPGA based
+ L# F- Y3 @1 aedge computing, which is a powerful combination offering
5 L: M' j4 S V1 H$ e/ J9 [' dFPGA acceleration capabilities together with edge and fog
/ ?% P0 k V+ `7 @* wbenefits. Indeed, our work focusses on devising an Intrusion 1 c% A0 O6 @3 E
Prevention architecture called FORTISEC (40SEC), that is , @1 H4 w" L2 `! F. U' I/ m1 T
meant to operate in a completely softwarized as well as in an ( c) T$ m; }: J, C6 b8 }5 G
FPGA mode. Thereby, we present suitable algorithms, design
: B$ c$ B, |* ], W( s8 }: Jprinciples and well defined components towards the
& e2 I# L& ], Fimplementation of accelerated intrusion prevention on the + a$ A4 V$ G3 C; [3 H$ ~& X( B
edge. We also present a testbed being utilized for the
/ E8 q# l, `4 S1 Himplementation of 40SEC and its performance testing.
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