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 32 for “"Zero-day"”.
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Automated signature generation for Zero-day polymorphic worms using a Double-honeynet
… an accurate system for signature generation for Zero-day polymorphic worms. Thesis consists of two parts: In part one, polymorphic worm instances are collected by designing a novel Double-honeynet system, which is able to detect new worms that have not been seen before. Unlimited honeynet …
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An investigation of mechanisms to mitigate zero-day computer worms within computer networks
… an investigation of mechanisms to mitigate zero-day computer worms has been carried out, while defining the key research questions to answer. This thesis presents a novel distributed automated worm detection and containment scheme, RL+LA, developed during the course of this research, that is …
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Detecting Zero-Day Attacks in IEC-61850 based Digital Substations via In-Context Learning
… the critical challenge of detecting novel/zero-day attacks in digital substations that employ the IEC-61850 communication protocol. While many heuristic and ML-based methods have been proposed for attack detection in IEC-61850 digital substations, generalization to novel or zero-day attacks …
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Admission patterns of paediatric patients aged 0-4 years diagnosed with respiratory conditions between Emergency Department (ED) and acute paediatrics and its relationship to zero-day admissions.
… particular lasting less than 24-hours, known as zero- day admissions (Gill et al. 2013). Children aged 0-4 years are determined as the most frequently presenting age group at ED (Sands et al. 2011) and a respiratory diagnosis as the second most prevalent condition for this age group (Sands et al. …
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Intrusion Detection Systems using Machine Learning and Deep Learning techniques
… techniques to develop IDS to cope with new and zero-day attacks. However, the lack of large, realistic, and up-to-date datasets hinders the IDS development process. <br/><br/>This thesis proposes an empirical investigation of ML and DL algorithms to detect known and unknown attacks in general- …
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A defensive strategy for detecting targeted adversarial poisoning attacks in machine learning trained malware detection models
… every suspicious file. Detection of Zero-day malware plays an important role in protecting systems generally but is particularly important in systems which manage critical infrastructure, as such systems often cannot be shut down to apply patches and thus must rely on network defence. …
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Design, Implementation and Experiments for Moving Target Defense Framework
… attacks from advanced adversaries that leverage zero-day exploits.
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Fast flux botnet detection based on adaptive dynamic evolving spiking neural network
… they have low detection accuracy especially with zero-day domain, quite a long detection time, and consume high memory storage. In this research we propose a new system called Fast Flux Killer System (FFKA) that has the ability to detect “zero-day” FF-Domains in online mode with an implementation …
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Developing a next-generation Mobile Security solution for Android
… instead, is a proactive approach used to spot zero-day or next-generation malware as they emerge. As to test VirIT Mobile Security, we use different experiments, one for each detection mechanism developed. Experimental results show that our signature-based detection system was able to properly …
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The Triple Pot and techniques in distributed system call intrusion detection
… our method can be used to automatically identify zero day attacks that could not previously have been detected using previous system call analysis methods. In addition, we also introduce a method to aggregate and analyze system calls from distributed machines to use information from multiple …
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Evaluation and design of AI red-teaming agent for cybersecurity of web applications
… application vulnerabilities, especially under zero-day settings. To close this gap, we first introduce CVE-Bench, a real-world web application cybersecurity benchmark based on critical-severity Common Vulnerabilities and Exposures. In CVE-Bench, we design a sandbox framework that enables LLM …
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Automated exploitation of fully randomized executables
… vulnerabilities remain a significant issue today. Attacks created to exploit these vulnerabilities are remarkably brittle due to their dependence on the presence of specific security settings, use of certain compiler toolchains, and the target's environment. I present Marten, a new end-to-end …
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Sistema de detección de intrusiones basado en firmas y ML y asistido por LLM
… presentan limitaciones frente a ataques de tipo Zero-day, técnicas avanzadas de ofuscación, etc. Por este motivo es necesaria su evolución hacia arquitecturas inteligentes, adaptativas y comprensibles. En este TFG se presenta el diseño e implementación de un IDS inteligente, en el que se van a …
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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
… IDS infrastructure, adaptability to evolving and zero-day attacks, and the complexities of multi-stage attack detection. To tackle these challenges, this dissertation makes the following significant contributions: -Traffic-Aware Load Balancing and IDS Chaining: A novel framework is introduced for …
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Power Fingerprinting for Integrity Assessment of Embedded Systems
… operation, PFP is effective against unknown (zero-day) attacks. This dissertation demonstrates the feasibility of PFP on different platforms with different configurations and architectural complexities. Experimental results demonstrate the feasibility of PFP in a basic deterministic embedded …
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Detection of Crypto-Ransomware Attack Using Deep Learning
… proposed deep learning models are tested with Zero-day ransomware samples as well. Both Bi-LSTM and CNN achieved above 98% in accurately classifying ransomware and benign samples. </p>
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Blockchain-based Architecture for Secured Cyberattack Signatures and Features Distribution
… Another reason for IDS coordination is that a zero-day attack (an attack without a known signature) experienced in organizations located in different regions is not the same. Collaborative efforts of the participating IDS nodes can stop more attack threats if IDS nodes exchange these attack …
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A fibre digitisation study of the architecture of the converging components of the Achilles tendon in a neonatal cadaveric sample
… musculoaponeurotic and tendinous architecture in zero-day-old neonatal anatomical donors, to identify innate and adaptive features of this unit. Eight formalin-fixed neonatal gastrocnemius and soleus muscle-tendon units were volumetrically reconstructed via serial coordinate-point sampling and …
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Explainable Data Driven Anomaly Detection for Securing Cyber Physical Systems: Theory and Experiment
… known threats, they frequently fail to detect zero-day vulnerabilities and novel attack patterns. In response, this work proposes novel multi-layered, AI-driven anomaly detection algorithms and framework that leverages multimodal and multivariate time-series data to provide offline and …
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