Community service and Professional development Career Interest My research area includes Distributed Intelligence Systems, Intelligent Controls, Temporal and Spatial Modeling, Planning of Discrete Event Systems, Validation and Verification of Architectural Rule-based Systems, with respect to Wireless Networks and Image compression processing as well as Petri Nets Design for computing networks. Intended synopsis Internet of Things (IoT) with respect to Intelligent Systems (IS) comprised of and addresses societal, governance as well as, an environmental economics. IS shared agent processing and management paradigms have become a critical research and development areas. Its Temporal Resource Management (TRM) have different levels of hierarchy, complexities and services with respect to their inter-process communication. These Dynamic System Model (DSM), for intelligent agents must adhere to a, paradigm of epistemic Belief or Fuzzy reasoning and modeling methodologies. Intelligent Agents involved within IoT, such as Remote Procedure Call (RPC) for Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) should be defined according to the mandatory Cyber security framework. These different paradigm sets of services cannot be managed and monitored by a single set of protocol stack. The research work can have three mature area, they are as following, 1: Utilising Fuzzy Neural Network for distributed cloud routing and access method. 2: Utilising Fuzzy Bayesian Network for Disaster avoidance and recovery with respect to MANets agents. 3: Utilising Quantum Computing for improving communication technology. Intelligent network systems, Dispute Resolution (DR) i.e, resource contention should, not be eliminated by indexing on a shared system memory structure. Instead Artificial Neural Network (ANN) can be utilised to resolve and improve these contention aspects. Back-Propagation (BP) and Particle Swarm Optimization (PSO) algorithms can be used to improve coordination between different Intelligent Agents in any IoT domain. Extensive simulation and modeling can be carried out by using Matlab and Opnet etc In order to define not only contention probabilities but also access method reliabilities. CIA bottleneck attacks persist with respect to the weakest link of a system i.e. IoT, wireless agents: with 1) Multicarrier Code-Division Multiple Access (MC-CDMA), 2) vertical and 3) horizontal hop switching, are prone to CIA attacks. Kalman Filters (KF) and Markov process management can be used to provide security with respect to these intersecting domains between different IoT agent's solution sets. For example any wireless intelligent agents with MC-CDMA, aggregate data architecture that can have new methodologies' with respect to its routing paradigm and system topologies. Therefore a new Stack Functional Layer protocol must be defined in order to overcome the Black hole attacks. Sustainable Cyber Security for IoT, with respect to Intelligent Agent system depends upon how we can develop adaptive security access method and topological optimization. Henceforth, it is imperative to formulate a set of novel approaches based on geographical routing and data-centric management algorithms1. 1 Please report document error to, author @ saliq.man@icloud.com of 5 Ali NAQVI P. O. Box. 415 NSW 2148 Sydney-AUSTRALIA Australian Computer Society #: 3145729 - Email: saliq.man@icloud.com Education2 o Master of Science (Honours): Department of Computer Science, Engineering and Mathematics. University of Western Sydney www.uws.edu.au 2012 - 2015 3641 Mater of Information and Communication Technology( Advance) i. 300255 Network Management ii. 300256 Multimedia Communication Systems iii. 300252 Advance topic in Networking iv. 300389 Wireless Networking 8051 Master of Science (Honours): Department of Computer Science, Engineering and Mathematics i. Thesis topic: "Utilising Fuzzy Logic to Detect False Access point in Wi-Fi
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