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AntiDDoS : Threat Detection 
Steven Le Roux 
Infrastructure Engineer
OVH Anti-DDoS
VAC
9
3 Tbps 17 Datacenters 
32 PoPs
19
Data Pipeline
Clients 
Producers 
Consumers 
Brokers 
Topics 
Partitions 
Replicas 
/ kafka
/ kafka / topic
/ kafka / topic / replicas
/ kafka / topic / replicas / factor / 3
/ kafka / topics
/ kafka
/ kafka
/ kafka / producers
Stream Processing
Topology (DAG) 
Spouts 
Bolts 
Cluster 
Nimbus 
Supervisors 
Workers 
/ storm
/ storm / topology
/ storm / topology / antiddos
Stream Grouping
/ storm 
Shuffle Grouping Field Grouping 
Direct Grouping Other Grouping
Attacks 
Router Grouping 
Scans 
IP src Grouping 
/ storm
Attacks 
≈ 1s 
Scoring 
Filters 
Burst 
Scans 
IP 
Proto 
/ storm
Indexing 
Prooving 
Producing 
/ storm / event
#lifecycle
#dataviz
Nice speech… 
… so what ?
#issues 
False positives 
Strange behaviours from customers 
e.g. DB sync without connection pool 
Application centric 
i.e. UDP protocols
#solutions 
Add other sources 
Application Anti-DDoS 
Game 
Half Life/Source 
CS:GO 
TeamSpeak / Mumble 
GTA 
SA:MP 
… 
More to come (any special need ?)
#datalake
#hardware 
Nodes - Hardware 
CPU 16c/32t 
RAM 256GB 
Disks : 
OS : Raid 1 
Data : 10 disks 
per node 
200 MB/s ~ 1,5-2 Gbps
Kafka 
I/O bound 
Bench (1node) 
1M+ msg/s 
No compression 
No ackers 
80MB/s 
Tuning 
num.io.thread 
num.network.thread 
socket.*.buffer.* 
Storm 
#config 
CPU/RAM bound 
M+ tuples/s 
No ackers 
Break SRP 
Minimal workers 
Avoid transfer buffer
OpenSOC
Clément Sciascia - @csciasci 
Magnus Edenhill - @edenhillm 
https://github.com/edenhill/librdkafka 
LinkedIn - Apache Kafka 
Nathan Marz - Apache Storm 
#Thanks 
Storm basic training – Mickael G. Noll #more 
http://fr.slideshare.net/miguno/apache-storm-09-basic-training-verisign 
Kafka documentation
Steven LE ROUX 
@StevenLeRoux 
steven.le-roux@ovh.net 
Thanks

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