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
Size of Option field of an ip datagram is 20 bytes. What is the value of HLEN? What is the value in binary?
QUESTION (a) Define and distinguish between Electronic Commerce and Electronic Business (b) According to you what are the benefits that Electronic Commerce can brings to org
Enterprise Information Security Policy (EISP) EISP also known as security policy directly supports the mission of the organization and sets the strategic direction, scope, and t
Question: (a) i. Explain what is meant by Discretionary Access Control and Mandatory Access Control ii. Which method would be the most effective to ensure that users do
CARRIER SENSE MULTIPLE ACCESS (CSMA) There is no central access management when computers transfer on Ethernet. For this solution the Ethernet employs CSMA to coordinate tran
Question: (a) Prove that every positive integer n can be factorized into a product of prime powers. (b) State the Fermat-Euler theorem as needed in the RSA system. (c) Us
Systems-Specific Policy (SysSP) SysSPs are codified as standards and procedures which are used when configuring or maintaining systems. Systems specific policies fall into 2 g
QUESTION (a) Consider the following authentication options A. Using password B. Using pin and fingerprint Which option A or B provides stronger security and why? (b
Thinking ethically is difficult without a background in moral philosophy. Asking people to embrace ethics without offering practical explanation of the efficacy of so doing, is a t
Problem (a) Distinguish between passive and active attacks. (b) Give two reasons why it is important to organise security awareness programs for users. (c) Describe how
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