Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
Many applications are vulnerable to intrusion attacks and can provide misleading reports about misbehaving nodes. Some of the mechanisms under such a category include the Bayesian fault recognition algorithm which relies on the spatial relationship of environmental conditions. Other schemes which have been tried but failed include the autoregression technique which relies on the strength of the signal transmitting data, the network voting algorithm, and the weighted trust evaluation based on trust levels on a hierarchical network. All the above mechanisms have suffered various weaknesses when used in WSN.
The mechanisms integrated into the WSN network with triple key management scheme to provide a complete secure network uses a Dual Threshold. In this context, α1 and α2 defined with appropriate trust values are used. The mechanism has been proven to provide enhanced node detection performance. The mechanism operates by enabling each sensor node in the wireless network to have trust values updated each time an event occurs to provide the correct report.
Figure: Weighted diagram of WSN nodes
A study by Lazos and Poovendran shows that the weighted graph illustrated above shows that weight wij, has values that range between 0 and 1 etc. A typical example where wij =1. Here, Lazos and Poovendran show that the corresponding nodes have trust value is vj as shown above. On the other hand, when the value of wij is equal to zero, there is no trust value and a flag Fi is set to 1. The node is faulty. Detections can be based on distributed events based on the dual threshold technique. As mentioned above, there are two thresholds, α1 and α2; with α1 being used to detect an event while ensuring a low false alarm rate exists. On the other hand, the threshold α2 helps nodes that are on or near the boundary region of an event to pass the test reflecting accurately the level of detection as illustrated in figure 4 below.
Figure: Binary detection of malicious nodes
Many applications are vulnerable to intrusion attacks and can provide misleading reports about misbehaving nodes. Some of the mechanisms under such a category include the Bayesian
QUESTION a) "Two of the key attributes of an enterprise network is that it have to be multi-platform and multisite." Decribe what you understand by this statement. b) A
Convert (111011)2 to ( )10
Stateless Packet Filtering Stateless or static packet filtering is the most straightforward kind of packet filtering that allows or disallows data transfer based on the addres
Ask quProject brief template The project brief is a document upon which the full Project Proposal and Plan will be based. About me: Who are you? What do you do? What is your Exper
Divide the user data into 6 equal sets. Use the first set for the enrollment phase of your system, and the rest for the verification phase. Use the following formula to calculate t
B a s i c functions of e-mail system are given as follows: C o mp o sition refers to the procedure of creating messages and the answers. Though any text editor can be
Evaluations, Assessment, and Maintenance of Risk Controls When the control strategy has been implemented, it should be monitored and measured on an ongoing basis to determine ef
ADDRESS RESOLUTION WITH CLOSED-FORM COMPUTATION For networks use reliable addressing, it is possible to select an address that creates closed-form address resolution possible.
Q. Attacks on wireless network WSN are vulnerable to attacks which compromise the integrity of the WSN nodes by decreasing the nodes' fault tolerance capabilities, data distrib
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +91-977-207-8620
Phone: +91-977-207-8620
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd