COMPUTER AND INFORMATION SCIENCES

CISC 5009. Network Essentials. (3 Credits) This graduate course covers the essentials of designing, building and maintaining a local area network, incorporating all elements of the seven layers of the ISOOSI Model. Students will learn various aspects of networking fundamentals including TCP/IP, network topology, network design, hardware configuration, software configuration, installation, and maintenance. Students will gain handson experience by performing the tasks necessary to engineer a working network from the ground up. Attributes: CSCY, CSNS, DATA.

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[11]  Erol Gelenbe,et al.  Demonstrating cognitive packet network resilience to worm attacks , 2010, CCS '10.

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[15]  Erol Gelenbe,et al.  Adaptive QoS routing for significant events in wireless sensor networks , 2008, 2008 5th IEEE International Conference on Mobile Ad Hoc and Sensor Systems.

[16]  Erol Gelenbe,et al.  Power-aware ad hoc cognitive packet networks , 2004, Ad Hoc Networks.

[17]  James Wolfer,et al.  WIP: Exploring the Feasibility of a Robot-Centric CPU Simulator to Control Physical Robots as an Assembly Language Instructional Aid , 2006 .

[18]  Dana Vrajitoru,et al.  Genetic algorithms for graph layouts with geometric constraints , 2006, Computational Intelligence.

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[21]  Erol Gelenbe,et al.  Cognitive packet networks: QoS and performance , 2002, Proceedings. 10th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunications Systems.

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[24]  Dana Vrajitoru,et al.  Hybrid real-coded mutation for genetic algorithms applied to graph layouts , 2005, GECCO '05.

[25]  Erol Gelenbe,et al.  Adaptive workload distribution for local and remote Clouds , 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

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[37]  Erol Gelenbe,et al.  The impact of information technology on energy consumption and carbon emissions , 2015, UBIQ.

[38]  Erol Gelenbe,et al.  Large scale simulation for human evacuation and rescue , 2012, Comput. Math. Appl..

[39]  José M. Bioucas-Dias,et al.  Vertex component analysis: a fast algorithm to unmix hyperspectral data , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[40]  Jon Atli Benediktsson,et al.  Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods , 2013, IEEE Signal Processing Magazine.

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[42]  Srini Ramaswamy,et al.  A Comparison of the Efficiencies of Code Inspections in Software Development and Maintenance , 2006, Software Engineering Research and Practice.

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[45]  James Wolfer,et al.  Creating a Hands-On Robot Environment for Teaching Assembly Language Programming , 2005 .

[46]  Erol Gelenbe,et al.  A self-aware approach to denial of service defence , 2007, Comput. Networks.

[48]  Georgia Sakellari.  Adaptability and failure resilience of the cognitive packet network , 2008 .

[49]  Erol Gelenbe,et al.  Measurement and performance of a cognitive packet network , 2001, Comput. Networks.

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[51]  Dana Vrajitoru,et al.  NPCs and Chatterbots with Personality and Emotional Response , 2006, 2006 IEEE Symposium on Computational Intelligence and Games.

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[54]  Erol Gelenbe,et al.  Deep learning with random neural networks , 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

[55]  Erol Gelenbe,et al.  Information-aware traffic reduction for wireless sensor networks , 2009, 2009 IEEE 34th Conference on Local Computer Networks.

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[59]  Erol Gelenbe,et al.  Recursive Routing in the Cognitive Packet Network , 2007, 2007 3rd International Conference on Testbeds and Research Infrastructure for the Development of Networks and Communities.

[60]  Robert R. Chodorek,et al.  A Linux Kernel Implementation of the Traffic Flow Description Option , 2016, MISSI.

[61]  James Wolfer,et al.  A Neuro-Genetic Hybrid Motif Generator for Genetic Art , 2005, Computer Graphics and Imaging.

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[63]  Kok-Lim Alvin Yau,et al.  QoS in IEEE 802.11-based wireless networks: A contemporary review , 2014, J. Netw. Comput. Appl..

[64]  David R. Surma.  Using graph theory to reduce communication overhead in parallel systems , 2003 .

[65]  David R. Surma.  The use of presentations and competition in an introductory computer graphics course , 2006 .

[66]  Liguo Yu,et al.  Two Perspectives on Open-Source Software Evolution: Maintenance and Reuse , 2006, SEKE.

[67]  David R. Surma.  Improving Performance in Mesh and Torus Networks by Reducing Communication Overhead , 2005, IASTED PDCS.

[68]  Erol Gelenbe,et al.  QoS and routing in the cognitive packet network , 2005, Sixth IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks.

[70]  Erol Gelenbe,et al.  Admission of QoS aware users in a smart network , 2008, TAAS.

[71]  Liguo Yu,et al.  An Empirical Study of the Maintenance Effort , 2006, SEKE.

[72]  Dana Vrajitoru,et al.  Simulating Gender Separation With Genetic Algorithms , 2002, GECCO.

[73]  Erol Gelenbe,et al.  Mitigating for Signalling Attacks in UMTS Networks , 2014, ISCIS.

[74]  Erol Gelenbe,et al.  Storms in mobile networks , 2014, Q2SWinet '14.

[75]  Erol Gelenbe,et al.  Towards Networks with Cognitive Packets , 2001 .

[76]  Dimitrios Tzovaras,et al.  Using Blockchains to Strengthen the Security of Internet of Things , 2018, Euro-CYBERSEC.

[77]  Erol Gelenbe,et al.  Emergency Navigation without an Infrastructure , 2014, IEEE SENSORS 2014 Proceedings.

[78]  Stephen R. Schach,et al.  Maintainability of the kernels of open-source operating systems: A comparison of Linux with FreeBSD, NetBSD, and OpenBSD , 2006, J. Syst. Softw..

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[80]  Michael R. Scheessele,et al.  Role of non-targets in detection of a target in visual search , 2010 .

[81]  Erol Gelenbe,et al.  Learning in the Recurrent Random Neural Network , 1992, Neural Computation.

[82]  Stephen R. Schach,et al.  Measuring the maintainability of open-source software , 2005, 2005 International Symposium on Empirical Software Engineering, 2005..

[83]  James Wolfer,et al.  A Swarm Intelligence Approach to Counting Stacked Symmetric Objects , 2006, Artificial Intelligence and Applications.

[84]  Erol Gelenbe,et al.  Top-$k$ Query Result Completeness Verification in Tiered Sensor Networks , 2014, IEEE Transactions on Information Forensics and Security.

[85]  Shiqi Huang,et al.  Locality Preserving Projection Based on Endmember Extraction for Hyperspectral Image Dimensionality Reduction and Target Detection , 2016, Applied spectroscopy.

[86]  Dana Vrajitoru,et al.  Genetic Algorithms for a Single-Track Vehicle Autonomous Pilot , 2008, Control. Intell. Syst..

[87]  E. Gelenbe.  Search in unknown random environments. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

[88]  Erol Gelenbe,et al.  KONFIDO: An OpenNCP-Based Secure eHealth Data Exchange System , 2018, Euro-CYBERSEC.

[89]  Erol Gelenbe,et al.  Design and performance of cognitive packet networks , 2001, Perform. Evaluation.

[90]  Erol Gelenbe,et al.  Steady-state solution of probabilistic gene regulatory networks. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[91]  David R. Surma.  Reducing Communication Overhead in 3D Mesh Networks for Unicast and Path-based Multiple Multicasts , 2004, CAINE.

[92]  Erol Gelenbe,et al.  Signaling attacks in mobile telephony , 2014, 2014 11th International Conference on Security and Cryptography (SECRYPT).

[93]  Srini Ramaswamy,et al.  Introduction to extended common coupling with an application study on Linux , 2006, ACM-SE 44.

[94]  Erol Gelenbe,et al.  Opportunistic Communications for Emergency Support Systems , 2011, ANT/MobiWIS.

[95]  M. Ufuk Çaglayan,et al.  Use of nested certificates for efficient, dynamic, and trust preserving public key infrastructure , 2004, TSEC.

[96]  Toktam Mahmoodi,et al.  Energy-aware routing in the Cognitive Packet Network , 2011, Perform. Evaluation.

[97]  Igor Nai Fovino,et al.  Towards a Mobile Malware Detection Framework with the Support of Machine Learning , 2018, Euro-CYBERSEC.

[98]  David R. Surma.  Lab activities requiring minimal resources for courses in computer networking , 2005 .

[99]  Erol Gelenbe,et al.  Detecting Denial of Service Attacks with Bayesian Classifiers and the Random Neural Network , 2007, 2007 IEEE International Fuzzy Systems Conference.

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[101]  Liguo Yu,et al.  Operating system process management and the effect on maintenance: a comparison of Linux, FreeBSD, and Darwin , 2015 .

[102]  Z. Pizlo,et al.  A Pyramid Model of the Perception of Partially Visible Figures , 2019, Proceedings of the Twenty-Fourth Annual Conference of the Cognitive Science Society.

[103]  R. Younes,et al.  Dimensionality reduction on hyperspectral images: A comparative review based on artificial datas , 2011, 2011 4th International Congress on Image and Signal Processing.

[104]  Liguo Yu.  Indirectly predicting the maintenance effort of open-source software , 2006, J. Softw. Maintenance Res. Pract..

[105]  Erol Gelenbe,et al.  Energy Life-Time of Wireless Nodes with Network Attacks and Mitigation , 2018, 2018 IEEE International Conference on Communications Workshops (ICC Workshops).

[106]  Erol Gelenbe,et al.  Adaptive Dispatching of Tasks in the Cloud , 2015, IEEE Transactions on Cloud Computing.

[107]  Erol Gelenbe,et al.  Traffic and video quality with adaptive neural compression , 1996, Multimedia Systems.

[108]  E. Gelenbe,et al.  Routing of High-Priority Packets in Wireless Sensor Networks , 2009 .

[109]  S. Ramaswamy,et al.  Software and Biological Evolvability: A Comparison Using Key Properties , 2006, 2006 Second International IEEE Workshop on Software Evolvability (SE'06).