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Towards Accelerating Intrusion Detection
0 Y! _' h2 G( X/ @9 I7 o. QOperations at the Edge Network using FPGAs : p |! }2 _! H' M) z, G
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In the current paper, we present our work towards
, K3 L/ P; w4 A* Waccelerating intrusion detection operations at the edge network
2 S3 c* |0 x o. F$ I( dusing FPGAs. Cloud computing and network function
+ M! R1 K& V- X/ u9 q. |/ Hvirtualization have led to a new appealing paradigm for service 7 G( V7 ~8 K* w3 ^$ U9 D
delivery and management. Unfortunately, this paradigm fails
: g! O: ]7 M* v3 q3 D8 ^8 Oto correctly support IoT applications and services that seek
: S0 Q+ ~% ~" g8 S8 h! y# Rbetter communication platforms. Security as a Service can also 8 _# K/ U% Q% W2 A
be seen as a cloud-based model that needs to be accommodated
" c0 G" _0 k2 v( h4 O' y' h9 ]to fulfill these services requirements. Again, one of the main
2 X3 l$ ? _7 K$ E6 T2 n- Tissues to be addressed in this context is how to improve the
* Q1 F g. _* ^% }performance of such systems or services in order to make them 7 \6 L3 j5 G# ?) ]4 L
capable of coping with the huge amount of data while $ @7 D0 e" |5 z, [; h+ G0 }- T) b
remaining reliable. A potential solution is the FPGA based # M, n- W- g* Z* m Z: }
edge computing, which is a powerful combination offering ( O) w5 ^8 M+ T1 w: u: b
FPGA acceleration capabilities together with edge and fog " Z+ S) V6 M: A3 e+ a, n
benefits. Indeed, our work focusses on devising an Intrusion : Z1 p: j& H" f
Prevention architecture called FORTISEC (40SEC), that is 2 O @% y) H" H
meant to operate in a completely softwarized as well as in an $ `" U- ]/ h; G- a u/ R
FPGA mode. Thereby, we present suitable algorithms, design
/ S; x2 `. {3 @8 b( {" `principles and well defined components towards the
* E4 g+ f) M5 p* q0 A3 Qimplementation of accelerated intrusion prevention on the 2 A, T$ M. D/ L l. | Z: [: u
edge. We also present a testbed being utilized for the 8 p% W8 m c2 F& ~% L
implementation of 40SEC and its performance testing.
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