Blackhole Attack Network Projects seek for an optimum route to secure the data packets. Blackhole is a routing attack that disrupts the routing by false route reply. In the main, most of the networks use route selection as the base for data transmission. Hence, it is highly in demand to reduce the risks while routing. This active blackhole attack involves Monitor, Listen, and Modify the packets in the network.
In addition to the above types, blackhole is the gateway for various attacks. In fact, it increases the risk level of the network to other attacks too. Besides, it is associated with other networks such as Greyhole, Sinkhole, and Wormhole attack network.
Blackhole takes off in the network layer of all networks. In specific, Wireless Ad-hoc Network projects like MANET, VANET, WSN, Mesh, FANET are the main target of this attack. The main connecting point is that all these networks use the on-demand routing protocols. Before getting into the Blackhole Attack Network Projects, we must know the procedure of routing. Most of the routing protocols operate on two key functions as follows,
In both functions, the blackhole first sends a false RREP to the source. By means all, the source believes that the attacker has the route for the destination. On account of this, the source sends the packet to the black hole. Once the black hole gets the packet, then it carries several actions. Those are,
As of now, all of the ad-hoc networks often have wide applications in real-time. On top, more sensitive use cases such as Military, Disaster Recovery work on an ad hoc basis. Thus, this attack seems severe. In essence, Blackhole Avoidance is an upright research direction.
Although the above methods attempt to avoid the attack, but not detect which node is malicious, on the other hand, Blackhole detection is also a notable research direction for your projects.
Nowadays, we are looking for ML and DL based methods for blackhole detection. The recent growth of these techs grabs our mind and tends us to delve into it. As it is the chief process, we are working to beat our prior works by unique methods. Once the malicious node is there, then we eliminate it by Isolation and IP Blocking.
On the whole, we are not only working on detection but also on mitigation schemes. So far, we have done 10K projects in this field. Still, the count is growing. All in all, we intend to deliver a full-fledged project on your hand. In a word, Join Your Project with us Soon, Then You will Grab Your Success Soon!
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 |