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Towards Accelerating Intrusion Detection & @; {. j3 t) P. i' ]
Operations at the Edge Network using FPGAs 1 h( U) @+ {4 v3 k5 C
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+ I, d2 j, {0 r In the current paper, we present our work towards
' k3 X5 I% X. e& n6 I/ Xaccelerating intrusion detection operations at the edge network
7 \) `$ w8 \- }: M2 \2 Y0 }using FPGAs. Cloud computing and network function
. m4 v& u7 |/ Jvirtualization have led to a new appealing paradigm for service
: V' K& D2 V/ b" z w# ydelivery and management. Unfortunately, this paradigm fails
# @% r7 K; u& wto correctly support IoT applications and services that seek D* b6 _; H. ?
better communication platforms. Security as a Service can also ]4 b: D% j- W8 T# V+ `
be seen as a cloud-based model that needs to be accommodated
* ?2 R1 {! ^4 T8 }5 _to fulfill these services requirements. Again, one of the main
* X2 Y- x; G6 C9 |# missues to be addressed in this context is how to improve the
0 C5 c3 ?" @* e( gperformance of such systems or services in order to make them `; Y- }5 k2 {9 ^6 f& m& w, x( S
capable of coping with the huge amount of data while
. u \& s) W7 C' i$ nremaining reliable. A potential solution is the FPGA based ) H: H" A; o& U( w2 A. H
edge computing, which is a powerful combination offering
. L3 X o$ b& T0 HFPGA acceleration capabilities together with edge and fog
( \5 Y/ S G* X- ubenefits. Indeed, our work focusses on devising an Intrusion
5 P" O+ k7 [& F( I( a( L/ r+ wPrevention architecture called FORTISEC (40SEC), that is
6 Y! C; A1 [1 x/ v: p3 Z! H( ?meant to operate in a completely softwarized as well as in an + m0 r# d. y6 [+ c3 c0 E# W/ I" ^
FPGA mode. Thereby, we present suitable algorithms, design
" d; P$ Y& |. A4 H6 j6 bprinciples and well defined components towards the
$ H" C, G7 j* }' ?' uimplementation of accelerated intrusion prevention on the
( V" V- I3 E! _3 U. ]. I4 T0 Nedge. We also present a testbed being utilized for the F! t: k$ F; i
implementation of 40SEC and its performance testing. 3 Z% t C/ n! o! u3 k
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