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 10 of 10 for “"zero-day attacks"”.
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Detecting Zero-Day Attacks in IEC-61850 based Digital Substations via In-Context Learning
The occurrences of cyber attacks, with novel attack techniques, on the electrical power grids have been increasing every year. In this thesis, we address the critical challenge of detecting novel/zero-day attacks in digital substations that employ the IEC-61850 communication protocol. While many …
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Intrusion Detection Systems using Machine Learning and Deep Learning techniques
… to the number and complexity of cyber attacks in recent years. The analysis of network traffic through Intrusion Detection Systems (IDS) has become an essential element of the networking security toolset. To cope with the increased rate and complexity of cyber attacks, researchers have …
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The Triple Pot and techniques in distributed system call intrusion detection
… use a variety of methods to detect and prevent attacks such as file integrity verification, log monitoring, file access patterns and etc. In this thesis, we look at the method of analyzing system calls for anomalous behavior. Programs use system calls to gain access to functions from an …
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GARNET : a Graphical Attack graph and Reachability Network Evaluation Tool
… "what-if" experiments including adding new zero-day attacks, following recommendations to patch software vulnerabilities, and changing the attacker starting location to analyze external and internal attackers. Users are able to view a set of attack graph metrics that summarize different …
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IMPROVING PERFORMANCE OF INTRUSION DETECTION SYSTEMS FOR SOFTWARE-DEFINED NETWORKS
… susceptible to sophisticated 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 …
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Power Fingerprinting for Integrity Assessment of Embedded Systems
… and physical separation, PFP prevents attacks on the monitor itself and introduces minimal overhead on platforms with resource constraints. Due to its anomaly detection operation, PFP is effective against unknown (zero-day) attacks. This dissertation demonstrates the feasibility of PFP …
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Generating datasets for anomaly-based intrusion detection systems in IoT networks
… ability to detect not only known but also new, zero-day attacks, in IoT networks. However, although the concept of IoT AIDSs is promising, it cannot be materialised before the significant gap of the scarcity of benchmark datasets for training and evaluating Machine Learning (ML) models for IoT …
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Electric vehicules cyber-attack detection
… of a realistic dataset, limitations in detecting zero-day attacks, and stealth attacks. Some of the challenges to developing robust, and importantly adaptable and scalable intrusion detection systems in real world CPS contexts of EVSE were acknowledged. Overall, we can say that the research …
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Monitoring security of enterprise hosts via DNS data analysis
… patterns, and are therefore ineffective against zero-day attacks. This thesis focuses on three high-impact cyber-attacks that leverage DNS, specifically data exfiltration, malware C&C communication, and service disruption. Using big data (over 10B packets) of DNS network traffic collected from a …
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A Hardware/Software Co-integration Approach for Securing Network Infrastructure using Reconfigurable Computing
… form of unforeseen network intrusions, such as zero-day attacks. At the hardware level, a very serious threat are hardware Trojans (HT), which are clandestine, malicious circuits that can be inserted during runtime in the network infrastructure. In this dissertation, two key security …