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Towards Accelerating Intrusion Detection
1 |* x; F: U/ e4 r% p% ?Operations at the Edge Network using FPGAs 4 G- n) W8 Z6 j s
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In the current paper, we present our work towards
/ Z# {2 l; k p; Zaccelerating intrusion detection operations at the edge network
1 f( Y0 i9 g3 s, Q! ousing FPGAs. Cloud computing and network function
" k: |/ D, M- u; w3 W) Tvirtualization have led to a new appealing paradigm for service - o& V* ?3 y! X# }; g# C+ b
delivery and management. Unfortunately, this paradigm fails . b- ^( R2 t3 A6 v, K1 t$ y
to correctly support IoT applications and services that seek
0 D" J, v0 I1 r$ G1 hbetter communication platforms. Security as a Service can also & h4 Q, N: Z0 V/ q, |
be seen as a cloud-based model that needs to be accommodated 1 n- h+ i6 j! L. d5 ]7 \
to fulfill these services requirements. Again, one of the main
+ e3 ~; o7 I7 @8 [issues to be addressed in this context is how to improve the $ k6 X) G, y+ P* D' d0 Z/ s
performance of such systems or services in order to make them / X; q3 W2 J$ S: ]$ c& b
capable of coping with the huge amount of data while
7 _# H" k. p; h$ hremaining reliable. A potential solution is the FPGA based
7 m; `' J/ `# A7 m$ ~' Z5 D% ^edge computing, which is a powerful combination offering
0 V/ m3 P3 e' o BFPGA acceleration capabilities together with edge and fog
3 k( E: Y. M4 f* _$ e/ Wbenefits. Indeed, our work focusses on devising an Intrusion $ c9 j4 l9 w& T$ ]
Prevention architecture called FORTISEC (40SEC), that is 9 o7 _! Z, D7 ~# `0 I% E3 T. P: x
meant to operate in a completely softwarized as well as in an 4 M+ ?$ B1 k' ^- ~, w
FPGA mode. Thereby, we present suitable algorithms, design
3 R6 e; `3 ?& `2 P) cprinciples and well defined components towards the
4 K0 w8 j0 z" A3 y8 c2 r8 k Yimplementation of accelerated intrusion prevention on the
: G) R% O, w" ~+ n& t1 Uedge. We also present a testbed being utilized for the
" k: L* ^: B& }' Gimplementation of 40SEC and its performance testing.
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