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 84 for “"Attack Detection"”.
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Towards Effective Masquerade Attack Detection
… a thriving underground economy. Masquerade attacks are a common security problem that is a consequence of identity theft and that is generally motivated by data theft. Such attacks are characterized by a system user illegitimately posing as another legitimate user. Prevention-focused …
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Electric vehicules cyber-attack detection
… related infrastructure is in jeopardy of cyber-attack, which can directly affect the users' safety, data privacy, and overall stability of the grid. The overall objective of this research was to prototype, implement, test and evaluate, and compare several classification-based intrusion detection …
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Distributed Denial of Service Attack Detection
<p>Distributed Denial of Service (DDoS) attacks on web applications has been a persistent threat. Successful attacks can lead to inaccessible service to legitimate users in time and loss of business reputation. Most research effort on DDoS focused on network layer attacks. Existing approaches on …
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Developing an Advanced IPv6 Evasion Attack Detection Framework
… are common between IPv4 and IPv6, e.g. Evasion attack, Distributed Denial of Service (DDOS) and Fragmentation attack. According to the IPv6 RFC (Request for Comment) recommendations, there are potential attacks against various Operating Systems. Discrepancies between the behaviour of several …
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Ocular motion classification for mobile device presentation attack detection
… art biometric methods remain vulnerable to spoof attacks. As these attacks become more sophisticated, ocular motion based presentation attack detection (PAD) methods provide a potential deterrent. This dissertation presents the methods and evaluation of a novel optokinetic nystagmus (OKN) based …
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The Utility of Electromagnetic Attack Detection to Information Security
… required to mount an EM interceptor based attack has been shown by analysis to be significant.<br/><br/>The hypothesis of this thesis has therefore been focussed on the development of detection and diagnostic concepts analogous to those used to defend against conventional cyber or Computer …
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An experiment using factor graph for early attack detection
… presents a factor graph based framework (named AttackTagger) for high accuracy and preemptive detection of attacks. We use security logs of real-incidents that occurred over a six-year period at the National Center for Supercomputing Applications (NCSA) at the University of Illinois to evaluate …
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Hardware Fault Attack Detection Methods for Secure Embedded Systems
… into hardware. Over the last 20 years, fault attacks have emerged as an important class of hardware attacks against embedded software security. In fault attacks, an adversary breaks the security by injecting well chosen, targeted faults during the execution of embedded software, and …
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Deep learning for DDoS attack detection in mobile edge computing
… particularly the Distributed Denial of Service attack (DDoS) which has become common in recent years. Compared to cloud environments, MEC networks have their own constraints, including limited resources and computational power. These constraints necessitate a careful consideration of how …
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Probe request attack detection in wireless LANs using intelligent techniques
… intelligent approach to recognise probe request attacks in Wireless Local Area Networks (WLAN). In WLANs, management frames facilitate wireless stations (STA) to establish and maintain communications. In infrastructure WLANs, any mobile STA can send a probe request management frame when it needs …
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Cyber-attack detection and resilient state estimation in power systems
… (CPS) now face an increasing threat of cyber-attacks. Intelligent attackers can leverage their knowledge of the system, disruption, and disclosure resources to critically damage the system while remaining undiscovered. In this dissertation, we develop a defense strategy, with the ability to …
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A Unified Wormhole Attack Detection Framework for Mobile Ad hoc Networks
… are trustworthy for multi-hop routing. Wormhole attacks belong to most severe routing threats because they are able to disrupt a major part of the network traffic, while concomitantly being extremely difficult to detect. <br></br><br></br> This thesis presents a new unified wormhole attack …
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Artificial Intelligence for Android Stealth-Attack Detection: A Digital Forensics Approach
… to spread and increasing the risks of cyberattacks. Among the vulnerabilities in Android applications, one of the most interesting is those related to the native code, i.e., C/C++ libraries used to interact with native activities and components such as camera, microphone, elaborate pictures, …
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A new sinkhole attack detection algorithm for RPL in wireless sensor networks (WSN)
… perform critical tasks and become targets of attacks. Sinkhole attack is one of the most common attacks to sensor networks, threatening the network availability by dropping data or disturbing routing paths. RPL is a standard routing protocol commonly used in sensor networks. Therefore, this …
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Real-time Adaptive Sensor Attack Detection and Recovery in Autonomous Cyber-physical Systems
… which rises new vulnerabilities such as physical attacks that are beyond conventional cyber attacks.Attackers may non-invasively compromise sensors and spoof the controller to perform unsafe actions. This issue is even emphasized with the increasing autonomy in CPS. While this fact has motivated …
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Unmasking the imposters: towards improving the generalisation of deep learning methods for face presentation attack detection.
… The most prevalent are presentation attacks. By using a photo, video, or mask of an authorized user, attackers can bypass face recognition systems. Fake presentation attacks are detected by the camera sensors of face recognition systems using face presentation attack detection. …
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Scalable data analytics pipeline for real-time attack detection: design, validation, and deployment in a honeypot environment
… a scalable data analytics pipeline for real-time attack detection through the use of customized honeypots at the National Center for Supercomputing Applications (NCSA). Attack detection tools are common and are constantly getting improved, but validating these tools is challenging. One must …
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A novel intrusion detection system (IDS) architecture. Attack detection based on snort for multistage attack scenarios in a multi-cores environment.
… here illustrates that improving intrusion detection and prevention methods is fundamental for improving the overall security of systems. This research includes the design of a novel Intrusion Detection System (IDS) which identifies four levels of visibility of attacks. Two major areas of …
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Wi-Fi attack mitigation: analysis, design and implementation
… nature of wireless medium makes wireless network attacks easily to be launched by adversaries. As a result, it is requisite to have the research and evaluation on Deny of Service (DoS) attacks and the strategy to mitigate DoS attacks. In this dissertation, we review several wireless attack …
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