Identification of Attackers Using Blockchain Transactions Using Cryptography Methods

Pasala, Sandhya; Pavani, V.; Lakshmi, G. Vidya; Narayana, V. Lakshman

doi:10.31838/jcr.07.06.65

Cited by 6 publications

(3 citation statements)

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“…By using Blockchain method in MANET, security levels are much improved and routing process is also clear [19]. Blockchain method is involved when a route is identified, nodes involved in communication are fixed, routing table is finalized, source and destination nodes are selected, data packets are transferred to the destination, malicious nodes are identified [20]. All these operations are grouped as a Block and a transaction is finalized.…”

Section: Security In Blockchainmentioning

confidence: 99%

A Trust Based Efficient Blockchain Linked Routing Method for Improving Security in Mobile Ad hoc Networks

Narayana¹,

Midhunchakkaravarthy²

2020

IJSSE

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Mobile Ad hoc Networks (MANETs) are non-fixed framework systems and there are such a large number of issues with them because of their dynamic topology, portable nodes, security, data transfer capacity, restricted battery strength and so forth. Trust is an association, dependability, unwavering excellence, and loyalty of the nodes in the system. A trusted routing plan is essential to guarantee the routing security and productivity of sensor systems. In perspective on these issues, this manuscript proposes a trusted routing plan utilizing block chain and building up a security model to improve the routing security and productivity for ad hoc networks. The possible routing plan is given for acquiring routing data of routing nodes on the block chain, which makes the routing data distinct and difficult to alter. The support learning model is utilized to help routing nodes progressively select increasingly trusted and productive routing connections. The proposed work introduces a Trust Based Efficient Blockchain Linked Routing Method (TbEBCLRM) for a system of trusted and untrusted nodes. The proposed method utilizes blockchain method to improve security in the ad hoc networks and to avoid malicious activities during communication is initiated. The proposed method is compared with the traditional methods and the results show that the proposed method exhibits better performance in terms of accuracy, security level, trust level and energy consumption.

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Section: Security In Blockchainmentioning

confidence: 99%

A Trust Based Efficient Blockchain Linked Routing Method for Improving Security in Mobile Ad hoc Networks

Narayana¹,

Midhunchakkaravarthy²

2020

IJSSE

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“…Logistic Regression (LR) is one of the most commonly used method for applied statistics and discrete data analysis and often works surprisingly well as a classifier [27]. When the target outcome has only two types, it can be called a binary classification problem [28].…”

Section: A Machine Learning Modelsmentioning

confidence: 99%

An Efficient Classifier using Machine Learning Technique for Individual Action Identification

Sravanthi¹,

Devi²,

Sandeep³

et al. 2020

IJACSA

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Human action recognition is an important branch of computer vision and is getting increasing attention from researchers. It has been applied in many areas including surveillance, healthcare, sports and computer games. This proposed work focuses on designing a human action recognition system for a human interaction dataset. Literature research is conducted to determine suitable algorithms for action recognition. In this proposed work, three machine learning models are implemented as the classifiers for human actions. An image processing method and a projection-based feature extraction algorithm are presented to generate training examples for the classifier. The action recognition task is divided into two parts: 4-class human posture recognition and 5-class human motion recognition. Classifiers are trained to classify input data into one of the posture or motion classes. Performance evaluations of the classifiers are carried out to assess validation accuracy and test accuracy for action recognition. The architecture designs for the centralized and distributed recognition systems are presented. Later these designed architectures are simulated on the sensor network to evaluate feasibility and recognition performance. Overall, the designed classifiers show a promising performance for action recognition.

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“…The MANET is a portable network and can be formed wherever necessary and because of its dynamic nature, MANETs frequently undergo several attacks [19]. The proposed method needs to improve security for the data in the network to improve packet delivery rate and the throughput of the system [20].…”

Section: Introductionmentioning

confidence: 99%

Secure Data Transfer in Manet with Key Calculator and Key Distributer Using Cryptography Methods

Alapati¹,

Ravichandran²

2020

IJSSE

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A Mobile Ad Hoc Network (MANET) is combined with number of versatile nodes that can communicate with one another without having any predefined foundation. These versatile nodes in the MANET go about as routers to transfer the information from source to destination. Since there is an expansion in number of portable clients and its applications, the versatile nodes security assumes a significant job in it. Even there are many methods for providing security to MANET, there are still several attacks causing in MANET. Secure data transfer in MANET can be achieved by introducing strong cryptographic methods and key exchange techniques. The reason for key generation and key maintenance is to give secure techniques for avoiding malicious activities in the MANET and to increase system performance. In this paper a strong cryptographic method is proposed, which generates and maintains keys and distribute keys safely to trusted nodes avoiding malicious nodes. The proposed method detects the malicious nodes and avoids them to participate in communication to improve packet delivery rate and to reduce delay in the network. The proposed method considers a node as a MANET Key Calculator (MKC) which generates keys and selects another node as MANET Key Distributer (MKD) for providing secure data transfer in MANET by applying cryptography methods. The proposed method is compared with traditional methods and the results show that the proposed method is exhibiting better performance.

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Identification of Attackers Using Blockchain Transactions Using Cryptography Methods

Cited by 6 publications

References 0 publications

A Trust Based Efficient Blockchain Linked Routing Method for Improving Security in Mobile Ad hoc Networks

A Trust Based Efficient Blockchain Linked Routing Method for Improving Security in Mobile Ad hoc Networks

An Efficient Classifier using Machine Learning Technique for Individual Action Identification

Secure Data Transfer in Manet with Key Calculator and Key Distributer Using Cryptography Methods

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