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RISS 인기검색어
- 검색키워드
- 저자 : ( V. Rhymend Uthariaraj ) (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
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Improved Life of Watchdog Nodes in Ad hoc Networks
Anitha M,Dr. Rhymend Uthariaraj V 보안공학연구지원센터 2014 International Journal of Security and Its Applicat Vol.8 No.6
Clustering or Cluster formation of nodes in wireless networks facilitates resource reuse and increases the performance capacity of the system. This paper presents a cluster-based solution to improve life of watchdog nodes that are designed to monitor intrusions in ad hoc network. The proposed approach ensures load sharing, increased robustness, added security and high reliability such that the entire network becomes fault tolerant. Unlike the existing systems, the algorithm intends to create multiple cluster heads for each cluster, thereby balancing the monitoring nodes’ work load and reducing reelection overhead. Simulation results show the competence of the proposed work over the existing approaches in terms of performance metrics such as percentage of alive nodes, cluster head election time, re-election time, election rate and communication overhead.
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Identity-based Provable Data Possession for Multicloud Storage with Parallel Key-Insulation
( S. Mary V. Nithya ),( Dr. V. Rhymend Uthariaraj ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.9
Cloud Storage is the primary component of many businesses on cloud. Majority of the enterprises today are adopting a multicloud strategy to keep away from vendor lock-in and to optimize cost. Auditing schemes are used to ascertain the integrity of cloud data. Of these schemes, only the Provable Data Possession schemes (PDP) are resilient to key-exposure. These PDP schemes are devised using Public Key Infrastructure (PKI-) based cryptography, Identity-based cryptography, etc. PKI-based systems suffer from certificate-related communication/computational complexities. The Identity-based schemes deal with the exposure of only the auditing secret key (audit key). But with the exposure of both the audit key and the secret key used to update the audit key, the auditing process itself becomes a complete failure. So, an Identity-based PDP scheme with Parallel Key-Insulation is proposed for multiple cloud storage. It reduces the risk of exposure of both the audit key and the secret key used to update the audit key. It preserves the data privacy from the Third Party Auditor, secure against malicious Cloud Service Providers and facilitates batch auditing. The resilience to key-exposure is proved using the CDH assumption. Compared to the existing Identity-based multicloud schemes, it is efficient in integrity verification.
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( P. Shunmuga Perumal ),( V. Rhymend Uthariaraj ),( V. R. Elgin Christo ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.3
Wireless Sensor Networks (WSNs) are widely used in geographically isolated applications like military border area monitoring, battle field surveillance, forest fire detection systems, etc. Uninterrupted power supply is not possible in isolated locations and hence sensor nodes live on their own battery power. Localization of sensor nodes in isolated locations is important to identify the location of event for further actions. Existing localization algorithms consume more energy at sensor nodes for computation and communication thereby reduce the lifetime of entire WSNs. Existing approaches also suffer with less localization coverage and localization accuracy. The objective of the proposed work is to increase the lifetime of WSNs while increasing the localization coverage and localization accuracy. A novel intelligent unmanned aerial vehicle anchor node (IUAN) is proposed to reduce the communication cost at sensor nodes during localization. Further, the localization computation cost is reduced at each sensor node by the proposed intelligent arc selection (IAS) algorithm. IUANs construct the location-distance messages (LDMs) for sensor nodes deployed in isolated locations and reach the Control Station (CS). Further, the CS aggregates the LDMs from different IUANs and computes the position of sensor nodes using IAS algorithm. The life time of WSN is analyzed in this paper to prove the efficiency of the proposed localization approach. The proposed localization approach considerably extends the lifetime of WSNs, localization coverage and localization accuracy in isolated environments.
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R. Sathia Priya,A. John Prakash,V.Rhymend Uthariaraj 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.11
Big data analytics offers endless opportunities for operational enhancement by extracting valuable insights from complex voluminous data. Hadoop is a comprehensive technological suite which offers solutions for the large scale storage and computing needs of Big data. The performance of Hadoop is closely tied with its configuration settings which depends on the cluster capacity and the application profile. Since Hadoop has over 190 configuration parameters, tuning them to gain optimal application performance is a daunting challenge. Our approach is to extract a subset of impactful parameters from which the performance enhancing sub-optimal configuration is then narrowed down. This paper presents a statistical model to analyze the significance of the effect of Hadoop parameters on a variety of performance metrics. Our model decomposes the total observed performance variation and ascribes them to the main parameters, their interaction effects and noise factors. The method clearly segregates impactful parameters from the rest. The configuration setting determined by our methodology has reduced the Job completion time by 22%, resource utilization in terms of memory and CPU by 15% and 12% respectively, the number of killed Maps by 50% and Disk spillage by 23%. The proposed technique can be leveraged to ease the configuration tuning task of any Hadoop cluster despite the differences in the underlying infrastructure and the application running on it.
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