Bhanu Chander
Pondicherry University
AutoencoderRouting protocolSmart gridDeep learningThe InternetSensor nodeSignalComputer architectureMachine learningComputer security modelGlobal networkData miningVariety (cybernetics)Health administrationQuantum cryptographyFeature selectionWearable computerArtificial intelligenceKey distributionNoise reductionSet (psychology)AuthenticationData analysisCryptographyKey managementPattern recognitionNetwork securityClustering high-dimensional dataInteroperabilityWireless sensor networkData qualitySmart cityTechnology integrationQuantum machine learningQuality (business)BlockchainBig businessCyberspaceDeep neural networksNovel techniqueComputer networkBayesian networkSoftware architectureComputer securityComputer scienceProcess (engineering)Node (networking)State (computer science)Home automationSecure communicationAccess controlMalwareResource (project management)WirelessData transmissionQuantum computerCluster analysisFeature (computer vision)Anomaly detectionConstant false alarm rateIdentification (information)AnalyticsOutlierReal-time computingCloud computingTheoretical computer scienceInternet of ThingsDiscriminative modelUnderwater
15Publications
4H-index
5Citations
Publications 18
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#1Bhanu Chander (Pondicherry University)H-Index: 4
#2Kumaravelan (Pondicherry University)H-Index: 2
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Abstract Wireless Sensor Networks (WSNs) are developed significantly from the last decades and attracted the attention of scientific and industrial domains. In WSNs, sensor nodes distributed autonomously in harsh environments are easily vulnerable to faults and attacks that cause sensor readings unreliable and inaccurate. In this scenario, sensor readings that have differed considerably from healthy behaviors will be considered abnormal data or anomalies/outliers. The inclusion of such outliers ...
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#1Bhanu ChanderH-Index: 4
#2G. KumaravelanH-Index: 4
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#1Bhanu Chander (Pondicherry University)H-Index: 4
Source
#1Bhanu Chander (Pondicherry University)H-Index: 4
#2Kumaravelan (Pondicherry University)H-Index: 2
Abstract The Internet of Things is an arrangement of hardware and software architecture that initiates real-world objects to interact with adjacent situations, sense them, and communicate with interrelated objects as an interconnected thing/object. Using the sophisticated expansion of wireless technology, e.g., microelectromechanical systems, information connection technology is a powerful resource in the healthcare category to discover and provide a mixture of solutions and welfare services eff...
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#1Bhanu Chander (Pondicherry University)H-Index: 4
Source
#1Bhanu Chander (Pondicherry University)H-Index: 4
#2Kumaravelan (Pondicherry University)H-Index: 2
Anomaly detection is an effective approach of dealing with problems in decision making process. Rapid development in technology has elevated the requirement of resourceful detection system using machine learning, deep learning in order to detect new and advanced outliers. Most of the real time applications employed with wireless sensor networks, which are positioned in unkind and unattended atmospheres, where these situations turns to a major causes on the production of anomalous or low quality ...
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