Posts

Showing posts from November, 2022

Weighted Coefficient Firefly Optimization Algorithm and Support Vector Machine for Trust Model and Link Reliability

Image
#IJCNC #Network #BayesianNetwork #QoS #SDN #SEPProtocol #RoutingProtocol #fuzzy #Telecommunications #networkarchitecture #networkprotocol #networkoptimization #DynamicAuthentication #StandardDeviationBasedEncoding #VariableEncoding #MultiSignatureHiding #RandomSignatureDispersing #RadioNetworks #SDN #algorithm #malfunctions #Sensing #Application #EntropyMeasure #Trustmodel #Cloudcomputing Weighted Coefficient Firefly Optimization Algorithm and Support Vector Machine for Trust Model and Link Reliability Authors Shalini Sharma and Syed Zeeshan Hussain, Jamia Millia Islamia University New Delhi, India Abstract Cloud computing is widely used by organizations and individuals due to its flexibility and reliability. The trust model is important for cloud computing to detect malicious users and protect user privacy. The existing research faces the issues of local optima trap and overfitting problems when a training user node is idle for more time. This research propose...

Controller Placement Problem Resiliency Evaluation in SDN-based Architectures

Image
  #IJCNC #Network #BayesianNetwork #QoS #SDN #SEPProtocol #RoutingProtocol #fuzzy #Telecommunications #networkarchitecture #networkprotocol #networkoptimization #DynamicAuthentication #StandardDeviationBasedEncoding #VariableEncoding #MultiSignatureHiding #RandomSignatureDispersing #Italy #SDN #algorithm #malfunctions Controller Placement Problem Resiliency Evaluation in SDN-based Architectures Authors Maurizio D’Arienzo1, Manfredi Napolitano1 and Simon Pietro Romano2, 1Dipartimento di Scienze Politiche Universita della Campania ”L.Vanvitelli”, Italy, 2DIETI Universita di Napoli ”Federico II”, Italy Abstract The Software-Defined Networking (SDN) paradigm does represent an effective approach aimed at enhancing the performance of core networks by introducing a clean separation between the routing plane and the forwarding plane. However, the centralized architecture of SDN networks raises resiliency concerns that are addressed by a class of algorithms falling under...

Multi-Layer Digital Validation of Candidate Service Appointment with Digital Signature and Bio-Metric Authentication Approach

Image
 #IJCNC #academia #Network #BayesianNetwork #QoS #SDN #SEPProtocol #RoutingProtocol #fuzzy #Telecommunications #networkarchitecture #networkprotocol #networkoptimization #DynamicAuthentication #StandardDeviationBasedEncoding #VariableEncoding #MultiSignatureHiding #RandomSignatureDispersing Multi-Layer Digital Validation of Candidate Service Appointment with Digital Signature and Bio-Metric Authentication Approach Authors Saikat Bose1, Tripti Arjariya1, Anirban Goswami2, Soumit Chowdhury3, 1Bhabha University, India, 2Techno Main Salt Lake, Sec – V, India, 3Government College of Engineering & Ceramic Technology, India Abstract Proposed work promotes a unique data security protocol for validating candidate’s service appointment. Process initiated with concealment of private share within the first segment of each region of the e-letter at commission’s server. This is governed by hash operations determining circular orientation of private share fragments and their hosted matrix int...

Particle Swarm Optimization–Long Short-Term Memory based Channel Estimation with Hybrid Beam Forming Power Transfer in WSN-IoT Applications

Image
 #IJCNC #network #BER #VANET #NOMA #optimization #deeplearning #MIMO Particle Swarm Optimization–Long Short-Term Memory based Channel Estimation with Hybrid Beam Forming Power Transfer in WSN-IoT Applications Authors Reginald Jude Sixtus J and Tamilarasi Muthu, Puducherry Technological University, India Abstract Non-Orthogonal Multiple Access (NOMA) helps to overcome various difficulties in future technology wireless communications. NOMA, when utilized with millimeter wave multiple-input multiple-output (MIMO) systems, channel estimation becomes extremely difficult. For reaping the benefits of the NOMA and mm-Wave combination, effective channel estimation is required. In this paper, we propose an enhanced particle swarm optimization based long short-term memory estimator network (PSOLSTMEstNet), which is a neural network model that can be employed to forecast the bandwidth required in the mm-Wave MIMO network. The prime advantage of the LSTM is that it has the capability of dynamic...