High impact event processing using incremetal clustering in unsupervised feature space through genetic algorithm by selective repeat ARQ protocol

Sethi, Purna Chandra; Dash, Chinmay

doi:10.1109/iccct.2011.6075159

Cited by 3 publications

(5 citation statements)

References 8 publications

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“…In paper [3], the algorithm deals with the incremental clustering approach. The events having higher impact are maintained in separate clusters for faster data transmission.…”

Section: Incremetal Clusteringmentioning

confidence: 99%

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Secured packet inspection with hierarchical pattern matching implemented using incremental clustering algorithm

Sethi

Behera

2014

2014 International Conference on High Performance Computing and Applications (ICHPCA)

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In the present scenario, most of the computing operations are performed over the Internet. Many companies provide their services using Internet, so networking services becomes more important these days. Hence, there is high demand for secured management of information, along with faster processing of operations. Due to increased demand for network services, there is a need to increase the performance of these services. The gradual increase in the amount of important information increases the packet payloads. EHMA is a faster searching algorithm that reduces the searching time significantly.In the original paper [1], EHMA is implemented in two tiers, but this paper considers the implementation of EHMA in three tiers.It follows incremental clustering algorithm for grouping clusters according to their impact factors. This three tier implementation of EHMA improves the security of the information as it uses SHA-256 for security.

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“…In paper [3], the algorithm deals with the incremental clustering approach. The events having higher impact are maintained in separate clusters for faster data transmission.…”

Section: Incremetal Clusteringmentioning

confidence: 99%

“…Based on the impact factor, the information can be maintained such that the searching time will be minimized. The incremental clustering algorithm implemented using ARQ protocol guarantees the transmission of information between the sender and the receiver [3]. During real life traffic, the time of transmission may be high.…”

Section: Introductionmentioning

confidence: 99%

Secured packet inspection with hierarchical pattern matching implemented using incremental clustering algorithm

Sethi

Behera

2014

2014 International Conference on High Performance Computing and Applications (ICHPCA)

Self Cite

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“…In paper [3], the author proposed a traditional approach for data transmission and guarantee that there will be 100% data transmission. When information is being corrupted, the appropriate corrupted bit is selected and retransmitted again.…”

Section: Introductionmentioning

confidence: 99%

RSA Cryptography Algorithm Using linear Congruence Class.

Sethi¹,

Behera²

2016

IJAR

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Due to the enormous demand for networking services, the performance and security of information has to be improved. To provide information security, numerous cryptographic algorithms were proposed by various researchers, out of which RSA algorithm is one the most popular algorithm. RSA algorithm uses linear congruence method which restricted the operation to specific class of values. RSA algorithm needs exponential time for decryption of message. By extending the RSA algorithm using congruence class and selecting the key in random, the security of algorithm can be increased. Higher the congruence class index, higher will be its level of security. For each of the congruence class element, complexity of algorithm will be same but there will be increase in the level of security. The basic idea behind this implementation is that by converting the given linear congruence into congruence class and solving them algebraically, actual information can be produced. This paper contains the comparison between linear congruence and congruence class using RSA algorithm. Finally we contend that, due to congruence class implementation, the complexity of algorithm will remain same as that of regular RSA algorithm with enhancement in information security by random congruence class key selection.Copy Right, IJAR, 2016,. All rights reserved.

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“…In paper [3], the authors proposed a traditional approach for data transmission and guarantees that there will be 100% error free data transmission. When any frame is corrupted, the appropriate frame is selected and retransmitted again.…”

Section: Introductionmentioning

confidence: 99%

“…In paper [4], the author proposed an efficient algorithm for optimization of resource utilization applied in paper [3]. UPnP protocol is used for universal plug and play operation.…”

Section: Introductionmentioning

confidence: 99%

Internet Traffic Classification for Faster and Secured Network Service

Sethi¹,

Behera²

2015

IJCA

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Due to the growth in prominence of Web, there is a need for proficient system administration. Network visibility becomes very crucial for traffic engineering and network management. A large number of users demands varied information at a given time. By identifying the users that demand same type of information and clustering them into different groups, the Internet accessibility and resource utilization can be improved. The most popular solutions for network management are Deep Packet Inspection algorithm, In-Depth Packet Inspection algorithm and some related statistical classification technologies. All these solutions depend on the availability of a training set. Supervised (classification) and unsupervised (clustering) algorithms are used for identification of the network traffic. Network traffic analysis always depends on various parameters such as the data to be searched, the time of searching, available bandwidth, number of accessing users, architecture of the network system, etc. For simplicity, the type of data and the data rate was considered for this implementation. Due to clustering, automatic identification of the classes of traffic was achieved. Since clustering technique is used for group processing of information, group signature techniques is being applied here for secured data processing.

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High impact event processing using incremetal clustering in unsupervised feature space through genetic algorithm by selective repeat ARQ protocol

Cited by 3 publications

References 8 publications

Secured packet inspection with hierarchical pattern matching implemented using incremental clustering algorithm

Secured packet inspection with hierarchical pattern matching implemented using incremental clustering algorithm

RSA Cryptography Algorithm Using linear Congruence Class.

Internet Traffic Classification for Faster and Secured Network Service

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