Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 263 for “"Network Traffic"”.
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WAVELET-BASED NETWORK TRAFFIC MODELING
Ever since its birth, networking has experienced phenomenal growth. This phenomenal growth in terms of traffic volume, bandwidth requirements, network topologies and protocols, medium of communication, and network applications, is constantly changing the nature of network traffic, thus motivating …
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Leveraging program slicing to understand network traffic
… malicious use of private functions, and unknown network protocol analysis. These use cases will be discussed in the paper.
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YAMA : a system for marking network traffic
… analysis requires precise labeling of traffic as either background or attack traffic. When an experiment is performed on-line, it may also be important to identify traffic from the security system. Today this is tedious and difficult, requiring personnel with a deep understanding of …
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Network traffic measurement for the next generation internet
Measurement-based performance evaluation of network traffic is a fundamental prerequisite for the provisioning of managed and controlled services in short timescales, as well as for enabling the accountability of network resources. The steady introduction and deployment of the Internet Protocol …
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Application and network traffic correlation of grid applications
Dynamic engineering of application-specific network traffic is becoming more important for applications that consume large amounts of network resources, in particular, bandwidth. Since traditional traffic engineering approaches are static they cannot address this trend; hence there is a need for …
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Using deep learning to classify community network traffic
Traffic classification is an important aspect of network management. This aspect improves the quality of service, traffic engineering, bandwidth management and internet security. Traffic classification methods continue to evolve due to the ever-changing dynamics of modern computer networks and the …
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Understanding information seeking behavior through network traffic analysis
Many of today's information workers use the Internet as a valuable first-choice source for new knowledge. As such, Internet based information seeking is a key part of how information workers find information. This study develops techniques to quantify the information seeking patterns of information …
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Detecting Hidden Wireless Cameras through Network Traffic Analysis
… be developed that will recognize the camera's network traffic characteristics. We monitor the network traffic within the immediate area using a separately developed packet sniffer, a program that observes and collects information about network packets. We analyze and classify these packets …
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Incorporating neural network traffic prediction into freeway incident detection
… of an incident management system depend Neural network models have been applied to traffic prediction frequently and even repeatedly because of its superior capability in emulating nonlinear systems. However, these traffic prediction models have not been utilized for incident detection. On the …
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Application Agnostic Network Traffic Modeling for Realistic Traffic Generation
Research and testing in networking sometimes require experiments that utilize real application network traffic. However, the process for obtaining production network traffic data from industry partners for testing novel algorithms, protocols, and network functions is a significant pain point for …
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Cyber security risk analysis framework : network traffic anomaly detection
… (IoT), mobile devices, cloud computing, 5G network, and artificial intelligence, the need for cybersecurity is more critical than ever before. These technologies drive the need for tighter cybersecurity implementations, while at the same time act as enablers to provide more advanced security …
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Session-based Intrusion Detection System To Map Anomalous Network Traffic
… managers and engineers to identify attack network packets primarily through the use of signature detection; i.e., the IDS recognizes attack packets due to their well-known "fingerprints" or signatures as those packets cross the network's gateway threshold. On the other hand, anomaly-based …
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Modelling computer network traffic using wavelets and time series analysis
Modelling of network traffic is a notoriously difficult problem. This is primarily due to the ever-increasing complexity of network traffic and the different ways in which a network may be excited by user activity. The ongoing development of new network applications, protocols, and usage profiles …
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WinNTGen : Creation of a Windows NT 5.0+ network traffic generator
… (LARIAT) project is the first fully automatable network testbed for the evaluation of information assurance (IA) technologies. It allows researchers to easily set up experiments that evaluate the accuracy of host-based and network-based intrusion detection systems (IDSs). Initially, the network …
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A Framework for Generalizing Uncertainty in Mobile Network Traffic Prediction
As Next Generation (NextG) networks become more complex, it has become increasingly necessary to utilize more advanced algorithms to enhance the robustness, autonomy, and reliability of existing wireless infrastructure. One such algorithm is network traffic prediction, playing a crucial role in the …
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Network anomaly detection using management information base (MIB) network traffic variables
… multi-tier, multiple-observation-window, network anomaly detection system (NADS) is introduced, namely, the MIB Anomaly Detection (MAD) system, which is capable of detecting and diagnosing network anomalies (including network faults and Denial of Service computer network attacks) …
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Enhanced classification of network traffic data captured by intrusion prevention systems
A common practice in modern computer networks is the deployment of Intrusion Prevention Systems (IPSs) for the purpose of identifying security threats. Such systems provide alerts on suspicious activities based on a predefined set of rules. These alerts almost always contain high percentages of …
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Visual Correlation of Network Traffic and Host Processes for Computer Security
… When system administrators investigate network communications activities, they have difficulty tracing them back to the processes that cause them. The strictly layered TCP/IP networking model that underlies all widely used, general-purpose operating systems makes it impossible to trace a …
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CLASSIFYING TCP NETWORK TRAFFIC FLOWS VIA TRAFFIC INTERACTION GRAPHS AND MACHINE LEARNING
Detecting malicious traffic on networks is a critical problem facing the Department of Defense. In this thesis we utilize cutting edge machine learning techniques to detect malicious network traffic. We begin with two real-world datasets. First, real internet traffic collected on the NPS Enterprise …
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