Malicious node detection mechanisms, Computer Network Security

Assignment Help:

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.

1303_Malicious node detection mechanisms.png

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.

1021_Malicious node detection mechanisms1.png

Figure: Binary detection of malicious nodes


Related Discussions:- Malicious node detection mechanisms

Encryption key size-cryptography, Encryption Key Size When using ciphers...

Encryption Key Size When using ciphers, the size of crypto variable or key is quite important as the strength of many encryption applications and cryptosystems were measured by

Professional issues in information technology, Thinking ethically is diffic...

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

Base lining-information security, Base lining •    Organizations do not ...

Base lining •    Organizations do not have any contact to each other •    No two organizations are identical to each other •    The best practices are a moving target •    K

Ids-information security, IDS Intrusion is a attack on information assets...

IDS Intrusion is a attack on information assets in which instigator attempts to gain entry into or disrupt normal system with harmful intent Incident response is an identificatio

Direct sequence modulation, Question 1 a) Provide three advantages of ...

Question 1 a) Provide three advantages of using optical fiber. b) Distinguish between "Direct Sequence Modulation" and "Frequency Hopping" c) Decribe the purpose of using "

Explain characteristics of associative memory networks, (a) Describe the pr...

(a) Describe the principal characteristics of associative memory networks? (b) Name the two basic types of associative memories and the differences between them. (c) Give an

Selecting a risk control strategy, Selecting a Risk Control Strategy Risk...

Selecting a Risk Control Strategy Risk controls involve selecting one of the 4 risk control strategies for every vulnerability. The flowchart is shown in the figure given below

Research paper, how much would you charge for minimum 20 pages

how much would you charge for minimum 20 pages

Describe briefly an artificial intelligent technique, Question : (a) W...

Question : (a) What is an IDS and what is the basic problem it faces which can be solved by Artificial Intelligence. (b) Identify and describe briefly an Artificial Intell

Http request message, Question (a) Consider that you enter the subsequent ...

Question (a) Consider that you enter the subsequent URL in the address bar of a popular web client and that both the server and client accepts HTTP version 1.1. i. What can be

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

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!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd