دانلود A Real-Time Intrusion Detection System for Wormhole Attack in the RPL based Internet of Things

Abstract

Today there  is  a  trend  of  the Internet  of  Things  (IoT)  where  many  objects  are  connected  to  the  internet.  In    future  number  of  objects connected to the internet will be more as compared to people in the world. So providing security to IoT devices is one of the  ongoing  research  issues.  Inserting  security  in  IoT  devices  is  challenging  because  maximum  devices  involved  in  IoT  are  resource  constrained  in  terms  of  battery  power  and  memory  size.  In  IoT,  nodes  communicate  using insecure  internet  which  makes  network  exposed  to  various  attacks.  RPL  (Routing  protocol  for  low  power  and  lossy  network)  is  the  protocol  specially  designed for IoT network is very prone to various security attacks. The proposed work in this paper is  an implementation of an intrusion  detection  system  (IDS) for  Wormhole  attack  and  attacker.  Wormhole  attack  is  one  of  the  most  severe  attacks  taking  place  at  6LoWPAN  adaption  layer  of  RPL  network.  In  this  type  of  attack,  a  pair  of  attacker  nodes  forms  a  tunnel  between  two  nodes  as  if  they  are  directly  connected  to  each  other  to  misguide  network  traffic.  The  proposed  IDS  is  implemented  in  Contiki  OS, using Cooja Simulator. We have used received signal strength indicator (RSSI) to identify the attack and attacker node.