Wormhole Attack Network Projects

Wormhole Attack Network Projects

Wormhole Attack Network Projects are a powerful way to defend against tunneled wormhole. In general, wormhole carries by two or more attackers. An attacker from a place of the network tunnels a legitimate packet to another attacker in the same network. For tunneling, it uses wireless or wired links. In most of the cases, the wormhole carries single-hop transmission. Owing to its connection, it has two types as in-band and also out-of-band wormhole.

At the Time data reaches another attacker node, then the entire network becomes at the risk of a Replay attack. Yes, the malicious node uses the tunneled data to launch a replay attack. On common, WSN and ad-hoc networks are at the utmost risk of the wormhole. The main reason is that it affects the network routing in particularly ad-hoc protocols like AODV. After that, it launches the many other attacks on routing. That is to say, doing Wormhole Attack Projects leads to myriad benefits.  

Preventing Wormhole attack network projects with source code for students

HOW TO DEFEND? FIRST, WE HAVE TO DETECT THEN WE CAN MITIGATE

DETECTION

  • Packet and Geographical Leash Technique
  • Location Validation and also Authentication
  • Hop-count Analysis in Multipath Routing
  • Watchdog Implementation in the view of Cognitive Approach
  • Delphi Technique and also Time based Mechanism

MITIGATION

  • Connectivity Graph Construction and Mitigation
  • Trust Formulation in terms of Direct and Indirect
  • Secure Route Selection and Mutual Authentication
  • Secure Neighbor Discovery and also Path Tracking
  • Time Stamp Validation and Message Code Authentication 

   At this Time, Machine Learning and Deep Learning methods are there for defending wormholes attack. At length, these methods classify the nodes as Normal and Malicious. For that, it depends upon the IP packet features, Energy model of the nodes, and Power ratio of the links. To be sure, the power ratio of the tunneled link is always high. Once we detected the malicious nodes, and then it is easy to isolate them. On the whole, we are also moving towards ML and DL techs in order to pledge fine quality.

What is the next way? Future Scope in Wormhole Attack Network Projects

  • Lightweight Cryptosystems in Wormhole Prevention
  • LiteNet based Wormhole Detection and IP Blocking
  • Optimized Trust Formulation by using Hybrid SHO
  • Acknowledgment based Wormhole Detection in RPL-IoT
  • Software-Defined Routing in WSN and MANET
  • En-route Filtering and also In-network Processing

   In sum, you can grasp any novel idea from us, even with a single mail. We never force you to pick our thoughts. Instead, we first give you a list of novel topics with phd research guidance. Then, we filter them upon your interest along with you. From that, we guide you to opt for your topic. In the same way, we have discussions with you at all stages of the work so that you will able to closely track your work online or offline. 

Live Tasks
Technology Ph.D MS M.Tech
NS2 75 117 95
NS3 98 119 206
OMNET++ 103 95 87
OPNET 36 64 89
QULANET 30 76 60
MININET 71 62 74
MATLAB 96 185 180
LTESIM 38 32 16
COOJA SIMULATOR 35 67 28
CONTIKI OS 42 36 29
GNS3 35 89 14
NETSIM 35 11 21
EVE-NG 4 8 9
TRANS 9 5 4
PEERSIM 8 8 12
GLOMOSIM 6 10 6
RTOOL 13 15 8
KATHARA SHADOW 9 8 9
VNX and VNUML 8 7 8
WISTAR 9 9 8
CNET 6 8 4
ESCAPE 8 7 9
NETMIRAGE 7 11 7
BOSON NETSIM 6 8 9
VIRL 9 9 8
CISCO PACKET TRACER 7 7 10
SWAN 9 19 5
JAVASIM 40 68 69
SSFNET 7 9 8
TOSSIM 5 7 4
PSIM 7 8 6
PETRI NET 4 6 4
ONESIM 5 10 5
OPTISYSTEM 32 64 24
DIVERT 4 9 8
TINY OS 19 27 17
TRANS 7 8 6
OPENPANA 8 9 9
SECURE CRT 7 8 7
EXTENDSIM 6 7 5
CONSELF 7 19 6
ARENA 5 12 9
VENSIM 8 10 7
MARIONNET 5 7 9
NETKIT 6 8 7
GEOIP 9 17 8
REAL 7 5 5
NEST 5 10 9
PTOLEMY 7 8 4

Workflow

YouTube Channel

Unlimited Network Simulation Results available here.