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 22 for “"Intrusion Detection Systems (IDS)"”.
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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 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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Modeling how users interact with Windows Outlook to crate realistic email traffic
… information assurance to protect the security of systems and data. The Lincoln Adaptable Real-time Information Assurance Testbed (LARIAT) was developed to simplify and address problems that surfaced from DARPA evaluations on intrusion detection systems (IDS) development. LARIAT emulates the …
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Lattice matching for detecting distributed intrusions
"Intrusion detection systems (IDS) are crucial components of the security mechanisms of today's computer systems. Intrusion detection has been an active field of research for about three decades. Existing research on intrusion detection has focused on sequential intrusions. However, intrusions can …
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An intrusion detection system for SDN-based tactical networks: a machine learning approach
… increasingly difficult to attain high levels of detection accuracy in military tactical networks with conventional anomaly detection systems due to the dynamic nature of network traffic in the battlefield, special operations, and the harsh environment where they operate. Intrusion detection …
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Blockchain-based Architecture for Secured Cyberattack Signatures and Features Distribution
… malicious traffic in computer networks is intrusion detection systems (IDS). Despite the increased accuracy of IDSs, distributed or coordinated attacks can still go undetected because of the single vantage point of the IDSs. Due to this reason, there is a need for attack characteristics' …
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A statistical process control approach for network intrusion detection
Intrusion detection systems (IDS) have a vital role in protecting computer networks and information systems. In this thesis we applied an SPC monitoring concept to a certain type of traffic data in order to detect a network intrusion. We developed a general SPC intrusion detection approach and …
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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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Optimizing Deep Learning and Machine Learning Models for Real-Time Intrusion Detection in IoT Networks
… surface and increased the operational need for intrusion detection systems (IDS) that remain accurate under multi-class class imbalance while also being computationally feasible for near-real-time use. Using the CICIoT2023 benchmark dataset, this dissertation develops a reproducible end-to-end …
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A framework for anomalous activity analysis for intrusion detection with applications to IoT networks
Computer systems have become an integral part of our daily lives. The Internet of Things (IoT) has recently attracted considerable attention in the information technology industry due to its various benefits. IoT activities increase the quantity of information shared. It produces new services …
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An Interactive Distributed Simulation Framework With Application To Wireless Networks And Intrusion Detection
… studies of mobility pattern effects, routing and intrusion detection mechanisms in simulations of large-scale wireless ad hoc, infrastructure, and totally mobile networks. The distributed simulations within the framework execute seamlessly and transparently to the user on a symmetric …
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High Performance Data Mining Techniques For Intrusion Detection
… to unauthorized and unintended users. Many systems have been developed which scrutinize the data for a deviation from the normal behavior of a user or system, or search for a known signature within the data. These systems are termed as Intrusion Detection Systems (IDS). These systems employ …
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The Utility of Electromagnetic Attack Detection to Information Security
… therefore been focussed on the development of detection and diagnostic concepts analogous to those used to defend against conventional cyber or Computer Network Attack (CNA) threats for EM disruptive attacks. EM Disrupters which have been the focus of this study are likely to have a large …
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Intrusion detection in IPv6-enabled sensor networks.
… research, we study efficient and lightweight Intrusion Detection Systems (IDS) for ad-hoc networks through the lens of IPv6-enabled Wireless Sensor Actuator Networks. These networks consist of highly constrained devices able to communicate wirelessly in an ad-hoc fashion, thus following the …
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Cyber-physical intrusion detection for robotic vehicles
Intrusion detection systems (IDS) designed for conventional computer systems and networks are not necessarily suitable for mobile cyber-physical systems (CPS), such as robots, drones and automobiles. They tend to be geared towards attacks of different nature and do not take into account mobility, …
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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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Algorithms and Frameworks for Accelerating Security Applications on HPC Platforms
… trade the precision for performance. 2) Network intrusion detection systems (NIDS) use automata processing as its searching core and requires line-speed processing. However, achieving high-speed automata processing is exceptionally difficult in both algorithm and implementation aspects. 3) It is …
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An investigation to cybersecurity countermeasures for global internet infrastructure.
… entities. These entities are called Autonomous Systems (ASes). Each one of these ASes is managed by an Internet Service Provider (ISP). In return each group of ISPs are managed by Regional Internet Registry (RIR). Finally, all RIRs are managed by Internet Assigned Number Authority (IANA). The …
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Near real-time threat assessment using intrusion detection system's data
The concept of Intrusion Detection (ID) and the development of such systems have been a major concern for scientists since the late sixties. In recent computer networks, the use of different types of Intrusion Detection Systems (IDS) is considered essential and in most cases mandatory. Major …
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An Architecture for Blockchain-based Collaborative Signature-based Intrusion Detection System
<p>Collaborative intrusion detection system (CIDS), where IDS hosts work with each other and share resources, have been proposed to cope with the increasingly sophisticated cyberattacks. Despite the promising benefits such as expanded signature databases and alert data from multiple sites, trust …
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