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.
Results
Showing 1 to 20 of 97 for “"Intrusion Detection Systems"”.
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The Effectiveness of Intrusion Detection Systems
… the following hypothesis: "The effectiveness of intrusion detection systems can be improved by rethinking the way the IDS is managed and by adopting effective and systematic implementation approaches."<br/><br/>This submission introduces the work done to show the validity of this hypothesis. It …
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A Framework for Hybrid Intrusion Detection Systems
… most widely accepted solution is the use of an Intrusion Detection System (IDS). Such systems currently rely on either signatures of the attack used for the data breach or changes in the behavior patterns of the system to identify an intruder. These systems, either signature-based or …
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Classification, testing and optimization of intrusion detection systems
… and architecture. Since the introduction of intrusion detection decades ago, intrusion detection technologies have continued to evolve rapidly. This rapid change has led to the introduction of a wealth of security devices, technologies and algorithms that perform functions originally …
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Evaluating Intrusion Detection Systems for Energy Diversion Attacks
… tools for predictive maintenance and anomaly detection systems in electricity industry. On the other hand, private profit-maximizing firms (distribution utilities) need accurate assessment of the value of these tools to justify investment in collection and processing of significant amount of …
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A Comparison of Static to Biologically Modeled Intrusion Detection Systems
… malware becomes unwieldy. A biologically modeled intrusion detection system based on the behavior of a population of ants has many advantages over traditional security measures. Each ant in the virtual colony has the ability to detect one specific metric of the current state of a computer. In …
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IMPROVING PERFORMANCE OF INTRUSION DETECTION SYSTEMS FOR SOFTWARE-DEFINED NETWORKS
… and dynamic cyberattacks. Traditional Intrusion Detection Systems (IDSs), often designed for static and monolithic network architectures, struggle to adapt to the dynamic nature and unique requirements of SDNs. This dissertation presents a comprehensive study on enhancing IDS …
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Intrusion Detection Systems using Machine Learning and Deep Learning techniques
… further interlace technologies and heterogeneous systems. The ever-evolving technological landscape of interconnected devices constantly expands the network attack surface, which has contributed to the number and complexity of cyber attacks in recent years. The analysis of network traffic through …
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Deployment considerations for intrusion detection systems in advanced metering infrastructure
… understand the requirements for a comprehensive intrusion detection solution. The threat analysis leads to an extensive set of failure scenarios that captures the attackers' key objectives and is used to extract the information required to effectively detect attacks. Using the information taken …
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Windows NT attacks for the evaluation of intrusion detection systems
Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
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Explainable AI Methods For Enhancing AI-Based Network Intrusion Detection Systems
In network security, the exponential growth of intrusions stimulates research toward developing advanced artificial intelligence (AI) techniques for intrusion detection systems (IDS). However, the reliance on AI for IDS presents challenges, including the performance variability of different AI …
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Generating datasets for anomaly-based intrusion detection systems in IoT networks
… design and development of novel Anomaly-based Intrusion Detection Systems (AIDSs), tailored to the resource-constrained characteristics of IoT networks, because of their ability to detect not only known but also new, zero-day attacks, in IoT networks. However, although the concept of IoT AIDSs …
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Towards Accurate and Reliable Industrial Intrusion Detection Systems Using Shadow Replicas
Supervisory Control and Data Acquisition (SCADA) systems manage the operations of a plethora of safety-critical industrial control systems. Due to their sensitive nature, SCADA systems have been the target of adversaries employing a wide range of attacks. This thesis proposes an approach to protect …
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Applying Machine Learning to Advance Cyber Security: Network Based Intrusion Detection Systems
… and tablets as well as traditional computer systems, rely on wireless connections to the Internet and are susceptible to attacks. Two important types of attacks are the use of malware and exploiting Internet protocol vulnerabilities in devices and network systems. These attacks form a threat …
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A Methodology to Design Intrusion Detection Systems (IDS) for IoT/Networking Protocols
… a methodology to design Anomaly Behavior based Intrusion Detection Systems (AB-IDS) to secure networking and IoT protocols. An AB-IDS has a complete understanding of the semantics of the normal behavior of its target system, consequently allowing it to detect any malicious attacks on the system …
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A database of computer attacks for the evaluation of intrusion detection systems
The 1998 DARPA intrusion detection evaluation created the first standard corpus for evaluating computer intrusion detection systems. This corpus was designed to evaluate both false alarm rates and detection rates of intrusion detection systems using many types of both known and new attacks embedded …
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Analysis of e-mail attachment signatures for potential use by intrusion detection systems
Today, an Intrusion Detection System (IDS) is almost a necessity. The effectiveness of an IDS depends on the number of parameters it can monitor to report malicious activity. Current Intrusion Detection Systems monitor packet headers only.;This thesis investigates the possibility of monitoring …
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Intensity based interrogation of optical fibre sensors for industrial automation and intrusion detection systems
… this study, the use of optical fibre sensors for intrusion detection and industrial automation systems has been demonstrated, with a particular focus on low cost, intensity-based, interrogation techniques. The use of optical fibre sensors for intrusion detection systems to secure residential, …
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Creating Models Of Internet Background Traffic Suitable For Use In Evaluating Network Intrusion Detection Systems
… background traffic generation and network intrusion detection. It is organized in two parts. Part one introduces a method to model realistic Internet background traffic and demonstrates how the models are used both in a simulation environment and in a lab environment. Part two introduces …
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Attack development for intrusion detector evaluation
An important goal of the 1999 DARPA Intrusion Detection Evaluation was to promote the development of intrusion detection systems that can detect new attacks. This thesis describes UNIX attacks developed for the 1999 DARPA Evaluation. Some attacks were new in 1999 and others were stealthy versions …
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A comparative study of the performance of machine learning methods and deep neural networks in intrusion detection
Intrusion detection systems (IDS) can be improved by using machine learning to teach the IDS what traffic is normal and therefore should be allowed into a network, or what traffic is abnormal and should be denied access to a network. The performance of intrusion detection systems can be improved …
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