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Relevant bibliographies by topics / Network reordering analysis

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Journal articles
Dissertations / Theses
Conference papers

Academic literature on the topic 'Network reordering analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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Journal articles on the topic "Network reordering analysis"

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Torres-Jr, Pedro Rodrigues, and Eduardo Parente Ribeiro. "Packet Reordering Metrics to Enable Performance Comparison in IP-Networks." Journal of Computer Networks and Communications 2020 (May 30, 2020): 1–8. http://dx.doi.org/10.1155/2020/8465191.

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Despite the existence of several metrics to perform measurements on out-of-order packets, few works have used these metrics for comparative purposes. A potential reason for this is that the use of these simple singleton metrics makes it difficult to analyze all the effects of packet reordering. On the other hand, more complete metrics are represented in a vectorial manner, making comparative analysis challenging. In this paper, we present a scenario for testing and describe a methodology for conducting experiments to compare network paths with respect to unordered packets. The results of sever

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Joarder, Arindam, L. N. B. Srinivas, and K. Venkatesh. "Analysis of Congestion Control for Multipath Transmission Control Protocol: Challenges and Solutions." Journal of Computational and Theoretical Nanoscience 17, no. 1 (2020): 37–42. http://dx.doi.org/10.1166/jctn.2020.8626.

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Multipath Transmission Control Protocol has turned into an intriguing matter in today’s protocol stack. With the development of rising technologies, it is the most noteworthy expansion of Transmission Control Protocol. A cell phone normally supports both a 2G/3G/4G connectivity and a wireless connectivity. Limitation of Transmission Control Protocol particularly in a mobile environment is that it does not handle mobility very well. Multipath Transmission Control Protocol resolves the shortcomings of Transmission Control Protocol. It allows multihoming simultaneously. Here multiple network link

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SHU, Tong, Min LIU, and Zhong-Cheng LI. "Performance Analysis of a Network-Layer Soft Vertical Handoff Scheme Without Packet Reordering." Chinese Journal of Computers 33, no. 1 (2010): 23–35. http://dx.doi.org/10.3724/sp.j.1016.2010.00023.

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Li, Fuliang, Xingwei Wang, Tian Pan, and Jiahai Yang. "A Case Study of IPv6 Network Performance: Packet Delay, Loss, and Reordering." Mathematical Problems in Engineering 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/3056475.

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Internet Protocol (IP) is used to identify and locate computers on the Internet. Currently, IPv4 still routes most Internet traffic. However, with the exhausting of IPv4 addresses, the transition to IPv6 is imminent, because, as the successor of IPv4, IPv6 can provide a larger available address space. Existing studies have addressed the notion that IPv6-centric next generation networks are widely deployed and applied. In order to gain a deep understanding of IPv6, this paper revisits several critical IPv6 performance metrics. Our extensive measurement shows that packet delay and loss rate of I

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Mohamad, Mumtazimah, Wan Nor Shuhadah Wan Nik, Zahrahtul Amani Zakaria, and Arifah Che Alhadi. "An Analysis of Large Data Classification using Ensemble Neural Network." International Journal of Engineering & Technology 7, no. 2.14 (2018): 53. http://dx.doi.org/10.14419/ijet.v7i2.14.11155.

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In this paper, operational and complexity analysis are investigated for a proposed model of ensemble Artificial Neural Networks (ANN) multiple classifiers. The main idea to this is to employ more classifiers to obtain a more accurate prediction as well as to enhance the classification capabilities in case of larger data. The classification result analyzed between a single classifier and multiple classifiers followed by the estimates of upper bounds of converged functional error with the partitioning of the benchmark dataset. The estimates derived using the Apriori method shows that the propose

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Wang, Zongzheng, Ping Dong, Tao Zheng, and Hongke Zhang. "DDGS: A Network Coding Scheme for Dynamic Adaptation to Heterogeneous Vehicular Networks." Wireless Communications and Mobile Computing 2021 (May 6, 2021): 1–12. http://dx.doi.org/10.1155/2021/8825526.

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The rapid development of the transportation industry has brought about the demand for massive data transmission. In order to make use of a large number of heterogeneous network resources in vehicular network, the research of applying network coding to multipath transmission has become a hot topic. Network coding can better solve the problems of packet reordering and low aggregation efficiency. The determination of coding scale is the key to network coding scheme. However, the existing research cannot adapt to the different characteristics of network resources in vehicular network, leading to l

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Lu, Aidong, Weichao Wang, Abhishek Dnyate, and Xianlin Hu. "Sybil Attack Detection through Global Topology Pattern Visualization." Information Visualization 10, no. 1 (2010): 32–46. http://dx.doi.org/10.1057/ivs.2010.1.

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We present a robust intrusion detection approach for wireless networks based on a new multi-matrix visualization method with a set of pattern generation, evaluation, organization and interaction functions. Our approach concentrates on assisting users to analyze statistical network topology patterns that could expose significant attack features. Specifically, we investigate Sybil attacks that have severe impacts on the fundamental operations of wireless networks. We have analyzed the features of network topologies under various Sybil attacks and, consequently, designed several matrix reordering

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Wang, Xiaojun, and Brendan Cronin. "TCP/IP Reassembly in Network Intrusion Detection and Prevention Systems." International Journal of Information Security and Privacy 8, no. 3 (2014): 63–76. http://dx.doi.org/10.4018/ijisp.2014070104.

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Deep Packet Inspection (DPI) in Network Intrusion Detection and Prevention Systems (NIDPS) typically involves the matching of packet payloads against attack signatures in the form of fixed strings and regular expressions. As an attack pattern may span multiple IP fragments or TCP segments, accurate DPI requires that the traffic is reassembled prior to analysis of the payload data stream. Although hardware acceleration of the TCP layer, including reassembly, is well known in the form of TCP Offload Engines for Network Interface Cards, only limited research has been conducted into reassembly arc

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Skilling, Quinton M., Bolaji Eniwaye, Brittany C. Clawson, et al. "Acetylcholine-gated current translates wake neuronal firing rate information into a spike timing-based code in Non-REM sleep, stabilizing neural network dynamics during memory consolidation." PLOS Computational Biology 17, no. 9 (2021): e1009424. http://dx.doi.org/10.1371/journal.pcbi.1009424.

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Sleep is critical for memory consolidation, although the exact mechanisms mediating this process are unknown. Combining reduced network models and analysis of in vivo recordings, we tested the hypothesis that neuromodulatory changes in acetylcholine (ACh) levels during non-rapid eye movement (NREM) sleep mediate stabilization of network-wide firing patterns, with temporal order of neurons’ firing dependent on their mean firing rate during wake. In both reduced models and in vivo recordings from mouse hippocampus, we find that the relative order of firing among neurons during NREM sleep reflect

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Liu, Jian Xin, Han Guo Cui, and Xing Dai. "Three Dimensional Point Clouds Watermarking Algorithm Based on Sphere Degenerated Octree." Advanced Materials Research 314-316 (August 2011): 2064–70. http://dx.doi.org/10.4028/www.scientific.net/amr.314-316.2064.

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To ensure the security and integrity of three dimensional point clouds model during transmission in the network, according to their own characteristics, after the pretreatment of PCA (Primary Component Analysis), three dimensional point clouds watermarking embedding algorithm based on sphere degenerated octree was proposed, and the octree that contained the original point clouds model was subdivided multilevel from top to bottom, and the nodes of the octree were ordered. And three dimensional point clouds watermarking extraction algorithm was proposed, and the original point clouds model and t

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Dissertations / Theses on the topic "Network reordering analysis"

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Swaro, James E. "A Heuristic-Based Approach to Real-Time TCP State and Retransmission Analysis." Ohio University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1448030769.

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Teknős, Martin. "Rozšíření behaviorální analýzy síťové komunikace určené pro detekci útoků." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234931.

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This thesis is focused on network behavior analysis (NBA) designed to detect network attacks. The goal of the thesis is to increase detection accuracy of obfuscated network attacks. Methods and techniques used to detect network attacks and network traffic classification were presented first. Intrusion detection systems (IDS) in terms of their functionality and possible attacks on them are described next. This work also describes principles of selected attacks against IDS. Further, obfuscation methods which can be used to overcome NBA are suggested. The tool for automatic exploitation, attack o

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Torres, Sospedra Joaquín. "Ensembles of Artificial Neural Networks: Analysis and Development of Design Methods." Doctoral thesis, Universitat Jaume I, 2011. http://hdl.handle.net/10803/48638.

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<p>This thesis is focused on the analysis and development of Ensembles of Neural Networks. An ensemble is a system in which a set of heterogeneous Artificial Neural Networks are generated in order to outperform the Single network based classifiers. However, this proposed thesis differs from others related to ensembles of neural networks [1, 2, 3, 4, 5, 6, 7] since it is organized as follows. <p>In this thesis, firstly, an ensemble methods comparison has been introduced in order to provide a rank-based list of the best ensemble methods existing in the bibliography. This comparison has been s

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Govind, S. "Performance Modeling And Evaluation Of Network Processors." Thesis, 2006. http://hdl.handle.net/2005/388.

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In recent years there has been an exponential growth in Internet traffic resulting in increased network bandwidth requirements which, in turn, has led to stringent processing requirements on network layer devices like routers. Present backbone routers on OC 48 links (2.5Gbps) have to process four million minimum-sized packets per second. Further, the functionality supported in the network devices is also on the increase leading to programmable processors, such as Intel's IXP, Motorola's C5 and IBM's.NP. These processors support multiple processors and multiple threads to exploit packet-level-p

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Conference papers on the topic "Network reordering analysis"

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Prabhavat, Sumet, Hiroki Nishiyama, Nirwan Ansari, and Nei Kato. "On the performance analysis of traffic splitting on load imbalancing and packet reordering of bursty traffic." In 2009 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC 2009). IEEE, 2009. http://dx.doi.org/10.1109/icnidc.2009.5360896.

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Wang, Guyin, Junfeng Wang, Lu Liu, and Guisheng Chen. "Packet Reordering Analysis for LEO Satellite Networks." In 2008 International Conference on Embedded Software and Systems. IEEE, 2008. http://dx.doi.org/10.1109/icess.2008.62.

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Narasiodeyar, Raghunandan M., and Anura P. Jayasumana. "Improvement in packet-reordering with limited re-sequencing buffers: An analysis." In 38th Annual IEEE Conference on Local Computer Networks (LCN 2013). IEEE, 2013. http://dx.doi.org/10.1109/lcn.2013.6761274.

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Costa-jussà, Marta R. "From Feature to Paradigm: Deep Learning in Machine Translation (Extended Abstract)." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/789.

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In the last years, deep learning algorithms have highly revolutionized several areas including speech, image and natural language processing. The specific field of Machine Translation (MT) has not remained invariant. Integration of deep learning in MT varies from re-modeling existing features into standard statistical systems to the development of a new architecture. Among the different neural networks, research works use feed-forward neural networks, recurrent neural networks and the encoder-decoder schema. These architectures are able to tackle challenges as having low-resources or morpholog

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van den Elzen, Stef, Danny Holten, Jorik Blaas, and Jarke J. van Wijk. "Reordering Massive Sequence Views: Enabling temporal and structural analysis of dynamic networks." In 2013 IEEE Pacific Visualization Symposium (PacificVis). IEEE, 2013. http://dx.doi.org/10.1109/pacificvis.2013.6596125.

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Gunreben, Sebastian. "Multi-layer Analysis to Quantify the Impact of Optical Burst Reordering on TCP Performance." In 2007 9th International Conference on Transparent Optical Networks. IEEE, 2007. http://dx.doi.org/10.1109/icton.2007.4296254.

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Kaspar, Dominik, Kristian Evensen, Audun F. Hansen, Paal Engelstad, Pal Halvorsen, and Carsten Griwodz. "An analysis of the heterogeneity and IP packet reordering over multiple wireless networks." In 2009 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2009. http://dx.doi.org/10.1109/iscc.2009.5202249.

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