Changes between Version 44 and Version 45 of GENIBibliography


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Timestamp:
09/07/16 19:54:31 (3 years ago)
Author:
Mark Berman
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  • GENIBibliography

    v44 v45  
    23562356
    23572357<li>
     2358<b>McGeer, Rick and Berman, Mark and Elliott, Chip and Ricci, Robert</b>
     2359, &quot;The GENI Book.&quot;
     2360The GENI Book, Springer International Publishing, Cham,
     23612016.
     2362doi:10.1007/978-3-319-33769-2.
     2363<a href="http://dx.doi.org/10.1007/978-3-319-33769-2">http://dx.doi.org/10.1007/978-3-319-33769-2</a>
     2364<br><br><b>Abstract: </b>This book, edited by four of the leaders of the National Science Foundation's Global Environment and Network Innovations (GENI) project, gives the reader a tour of the history, architecture, future, and applications of GENI. Built over the past decade by hundreds of leading computer scientists and engineers, GENI is a nationwide network used daily by thousands of computer scientists to explore the next Cloud and Internet and the applications and services they enable, which will transform our communities and our lives. Since by design it runs on existing computing and networking equipment and over the standard commodity Internet, it is poised for explosive growth and transformational impact over the next five years. Over 70 of the builders of GENI have contributed to present its development, architecture, and implementation, both as a standalone US project and as a federated peer with similar projects worldwide, forming the core of a worldwide network. Applications and services enabled by GENI, from smarter cities to intensive collaboration to immersive education, are discussed. The book also explores the concepts and technologies that transform the Internet from a shared transport network to a collection of ” slices” -- private, on-the-fly application-specific nationwide networks with guarantees of privacy and responsiveness. The reader will learn the motivation for building GENI and the experience of its precursor infrastructures, the architecture and implementation of the GENI infrastructure, its deployment across the United States and worldwide, the new network applications and services enabled by and running on the GENI infrastructure, and its international collaborations and extensions. This book is useful for academics in the networking and distributed systems areas, Chief Information Officers in the academic, private, and government sectors, and network and information architects.
     2365</li>
     2366<br>
     2367
     2368
     2369
     2370<li>
    23582371<b>McGeer, Rick and Ricci, Robert</b>
    23592372, &quot;The InstaGENI Project.&quot;
     
    25652578<li>
    25662579<b>Ozcelik, Ilker and Brooks, Richard R.</b>
    2567 , &quot;Performance Analysis of DDoS Detection Methods on Real Network.&quot;
    2568 First GENI Research and Educational Experiment Workshop (GREE 2012), Los Angeles,
    2569 2012.
    2570 
    2571 
    2572 <br><br><b>Abstract: </b>Distributed Denial of Service (DDoS) attacks are major security threats to the Internet. The distributed structure of these attacks makes it difficult to distinguish between legitimate and attack traffic, making detection difficult. In addition to this challenge, researchers also have to study and find countermeasures against these attacks without using an operational network for testing, since attacks on operational networks inconvenience users. In this paper, we propose a method to perform DDoS analysis on real hardware using real traffic without jeopardizing the original network. We implement our experiments on the Geni testbed using Openflow. We present results from DDoS detection methods using operational traffic.
    2573 </li>
    2574 <br>
    2575 
    2576 <li>
    2577 <b>Ozcelik, Ilker and Brooks, Richard R.</b>
    2578 , &quot;Operational System Testing for Designed in Security.&quot;
    2579 Proceedings of the Eighth Annual Cyber Security and Information Intelligence Research Workshop, Oak Ridge, Tennessee, ACM, New York, NY, USA,
    2580 2013.
    2581 doi:10.1145/2459976.2460038.
    2582 <a href="http://dx.doi.org/10.1145/2459976.2460038">http://dx.doi.org/10.1145/2459976.2460038</a>
    2583 <br><br><b>Abstract: </b>To design secure systems, one needs to understand how attackers use system vulnerabilities in their favor. This requires testing vulnerabilities on operational systems. However, working on operational systems is not always possible because of the risk of disturbance. In this study, we introduce an approach to experimenting using operational system data and performing real attacks without disturbing the original system. We applied this approach to a network security experiment and tested the performance of three detection methods. The approach used in this study can be used when developing systems with Designed-in Security to identify and test system vulnerabilities.
    2584 </li>
    2585 <br>
    2586 
    2587 <li>
    2588 <b>Ozcelik, Ilker and Brooks, Richard R.</b>
    25892580, &quot;Security experimentation using operational systems.&quot;
    25902581Proceedings of the Seventh Annual Workshop on Cyber Security and Information Intelligence Research, Oak Ridge, Tennessee, ACM, New York, NY, USA,
     
    25932584<a href="http://dx.doi.org/10.1145/2179298.2179388">http://dx.doi.org/10.1145/2179298.2179388</a>
    25942585<br><br><b>Abstract: </b>Computers and Internet have evolved into necessary tools for our professional, personal and social lives. As a result of this growing dependence, there is a concern that these systems remain protected and available. This concern increases exponentially when considering systems such as smart power grids. Therefore, research should be conducted to develop effective ways of detecting system anomalies. To have realistic results, the studies should be tested on real systems. However, it is not possible to test these experiments on the live network. With the recent collaboration of Universities and research labs, a new experiment test bed has been established. As a result, experiments can now be implemented on real networks. In our study, we design an experiment to analyze Distributed Denial of Service Attacks (DDoS Attack) on a real network with real Internet traffic. The approach that we use in our study can easily be generalized to apply to smart power grids.
     2586</li>
     2587<br>
     2588
     2589<li>
     2590<b>Ozcelik, Ilker and Brooks, Richard R.</b>
     2591, &quot;Performance Analysis of DDoS Detection Methods on Real Network.&quot;
     2592First GENI Research and Educational Experiment Workshop (GREE 2012), Los Angeles,
     25932012.
     2594
     2595
     2596<br><br><b>Abstract: </b>Distributed Denial of Service (DDoS) attacks are major security threats to the Internet. The distributed structure of these attacks makes it difficult to distinguish between legitimate and attack traffic, making detection difficult. In addition to this challenge, researchers also have to study and find countermeasures against these attacks without using an operational network for testing, since attacks on operational networks inconvenience users. In this paper, we propose a method to perform DDoS analysis on real hardware using real traffic without jeopardizing the original network. We implement our experiments on the Geni testbed using Openflow. We present results from DDoS detection methods using operational traffic.
     2597</li>
     2598<br>
     2599
     2600<li>
     2601<b>Ozcelik, Ilker and Brooks, Richard R.</b>
     2602, &quot;Operational System Testing for Designed in Security.&quot;
     2603Proceedings of the Eighth Annual Cyber Security and Information Intelligence Research Workshop, Oak Ridge, Tennessee, ACM, New York, NY, USA,
     26042013.
     2605doi:10.1145/2459976.2460038.
     2606<a href="http://dx.doi.org/10.1145/2459976.2460038">http://dx.doi.org/10.1145/2459976.2460038</a>
     2607<br><br><b>Abstract: </b>To design secure systems, one needs to understand how attackers use system vulnerabilities in their favor. This requires testing vulnerabilities on operational systems. However, working on operational systems is not always possible because of the risk of disturbance. In this study, we introduce an approach to experimenting using operational system data and performing real attacks without disturbing the original system. We applied this approach to a network security experiment and tested the performance of three detection methods. The approach used in this study can be used when developing systems with Designed-in Security to identify and test system vulnerabilities.
    25952608</li>
    25962609<br>
     
    35883601<li>
    35893602<b>Van Vorst, N. and Erazo, M. and Liu, J.</b>
     3603, &quot;PrimoGENI for hybrid network simulation and emulation experiments in GENI.&quot;
     3604Journal of Simulation,
     36052012.
     3606doi:10.1057/jos.2012.5.
     3607<a href="http://dx.doi.org/10.1057/jos.2012.5">http://dx.doi.org/10.1057/jos.2012.5</a>
     3608<br><br><b>Abstract: </b>The Global Environment for Network Innovations (GENI) is a community-driven research and development effort to build a collaborative and exploratory network experimentation platform—a 'virtual laboratory' for the design, implementation, and evaluation of future networks. The PrimoGENI project enables real-time network simulation by extending an existing network simulator to become part of the GENI federation to support large-scale experiments involving physical, simulated, and emulated network entities. In this paper, we describe a novel design of PrimoGENI, which aims at supporting realistic, scalable, and flexible network experiments with real-time simulation and emulation capabilities. We present a flexible emulation infrastructure that allows both remote client machines, local cluster nodes running virtual machines, and external networks to seamlessly interoperate with the simulated network running within a designated 'slice' of resources. We present the results of our preliminary validation and performance studies to demonstrate the capabilities as well as limitations of our approach.
     3609</li>
     3610<br>
     3611
     3612<li>
     3613<b>Van Vorst, N. and Erazo, M. and Liu, J.</b>
    35903614, &quot;PrimoGENI: Integrating Real-Time Network Simulation and Emulation in GENI.&quot;
    35913615Principles of Advanced and Distributed Simulation (PADS), 2011 IEEE Workshop on, Nice, France, IEEE,
     
    35943618<a href="http://dx.doi.org/10.1109/pads.2011.5936747">http://dx.doi.org/10.1109/pads.2011.5936747</a>
    35953619<br><br><b>Abstract: </b>The Global Environment for Network Innovations (GENI) is a community-driven research and development effort to build a collaborative and exploratory network experimentation platform -- a &#x76;&#x0308;irtual laboratory'' for the design, implementation and evaluation of future networks. The PrimoGENI project enables real-time network simulation by extending an existing network simulator to become part of the GENI federation to support large-scale experiments involving physical, simulated and emulated network entities. In this paper, we describe a novel design of PrimoGENI, which aims at supporting realistic, scalable, and flexible network experiments with real-time simulation and emulation capabilities. We present a flexible emulation infrastructure that allows both remote client machines and local cluster nodes running virtual machines to seamlessly interoperate with the simulated network running within a designated &#x73;&#x0308;lice'' of resources. We show the results of our preliminary validation and performance studies to demonstrate the capabilities and limitations of our approach.
    3596 </li>
    3597 <br>
    3598 
    3599 <li>
    3600 <b>Van Vorst, N. and Erazo, M. and Liu, J.</b>
    3601 , &quot;PrimoGENI for hybrid network simulation and emulation experiments in GENI.&quot;
    3602 Journal of Simulation,
    3603 2012.
    3604 doi:10.1057/jos.2012.5.
    3605 <a href="http://dx.doi.org/10.1057/jos.2012.5">http://dx.doi.org/10.1057/jos.2012.5</a>
    3606 <br><br><b>Abstract: </b>The Global Environment for Network Innovations (GENI) is a community-driven research and development effort to build a collaborative and exploratory network experimentation platform—a 'virtual laboratory' for the design, implementation, and evaluation of future networks. The PrimoGENI project enables real-time network simulation by extending an existing network simulator to become part of the GENI federation to support large-scale experiments involving physical, simulated, and emulated network entities. In this paper, we describe a novel design of PrimoGENI, which aims at supporting realistic, scalable, and flexible network experiments with real-time simulation and emulation capabilities. We present a flexible emulation infrastructure that allows both remote client machines, local cluster nodes running virtual machines, and external networks to seamlessly interoperate with the simulated network running within a designated 'slice' of resources. We present the results of our preliminary validation and performance studies to demonstrate the capabilities as well as limitations of our approach.
    36073620</li>
    36083621<br>
     
    60636076
    60646077<li>
     6078<b>McGeer, Rick and Berman, Mark and Elliott, Chip and Ricci, Robert</b>
     6079, &quot;The GENI Book.&quot
     6080The GENI Book, Springer International Publishing, Cham,
     60812016.
     6082doi:10.1007/978-3-319-33769-2.
     6083</li>
     6084<br>
     6085
     6086
     6087
     6088<li>
    60656089<b>McGeer, Rick and Ricci, Robert</b>
    60666090, &quot;The InstaGENI Project.&quot
     
    62406264<li>
    62416265<b>Ozcelik, Ilker and Brooks, Richard R.</b>
    6242 , &quot;Performance Analysis of DDoS Detection Methods on Real Network.&quot
    6243 First GENI Research and Educational Experiment Workshop (GREE 2012), Los Angeles,
    6244 2012.
    6245 
    6246 </li>
    6247 <br>
    6248 
    6249 <li>
    6250 <b>Ozcelik, Ilker and Brooks, Richard R.</b>
    6251 , &quot;Operational System Testing for Designed in Security.&quot
    6252 Proceedings of the Eighth Annual Cyber Security and Information Intelligence Research Workshop, Oak Ridge, Tennessee, ACM, New York, NY, USA,
    6253 2013.
    6254 doi:10.1145/2459976.2460038.
    6255 </li>
    6256 <br>
    6257 
    6258 <li>
    6259 <b>Ozcelik, Ilker and Brooks, Richard R.</b>
    62606266, &quot;Security experimentation using operational systems.&quot
    62616267Proceedings of the Seventh Annual Workshop on Cyber Security and Information Intelligence Research, Oak Ridge, Tennessee, ACM, New York, NY, USA,
    626262682011.
    62636269doi:10.1145/2179298.2179388.
     6270</li>
     6271<br>
     6272
     6273<li>
     6274<b>Ozcelik, Ilker and Brooks, Richard R.</b>
     6275, &quot;Performance Analysis of DDoS Detection Methods on Real Network.&quot
     6276First GENI Research and Educational Experiment Workshop (GREE 2012), Los Angeles,
     62772012.
     6278
     6279</li>
     6280<br>
     6281
     6282<li>
     6283<b>Ozcelik, Ilker and Brooks, Richard R.</b>
     6284, &quot;Operational System Testing for Designed in Security.&quot
     6285Proceedings of the Eighth Annual Cyber Security and Information Intelligence Research Workshop, Oak Ridge, Tennessee, ACM, New York, NY, USA,
     62862013.
     6287doi:10.1145/2459976.2460038.
    62646288</li>
    62656289<br>
     
    71057129<li>
    71067130<b>Van Vorst, N. and Erazo, M. and Liu, J.</b>
     7131, &quot;PrimoGENI for hybrid network simulation and emulation experiments in GENI.&quot
     7132Journal of Simulation,
     71332012.
     7134doi:10.1057/jos.2012.5.
     7135</li>
     7136<br>
     7137
     7138<li>
     7139<b>Van Vorst, N. and Erazo, M. and Liu, J.</b>
    71077140, &quot;PrimoGENI: Integrating Real-Time Network Simulation and Emulation in GENI.&quot
    71087141Principles of Advanced and Distributed Simulation (PADS), 2011 IEEE Workshop on, Nice, France, IEEE,
    710971422011.
    71107143doi:10.1109/pads.2011.5936747.
    7111 </li>
    7112 <br>
    7113 
    7114 <li>
    7115 <b>Van Vorst, N. and Erazo, M. and Liu, J.</b>
    7116 , &quot;PrimoGENI for hybrid network simulation and emulation experiments in GENI.&quot
    7117 Journal of Simulation,
    7118 2012.
    7119 doi:10.1057/jos.2012.5.
    71207144</li>
    71217145<br>
     
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