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 247 for “"Intrusion detection"”.
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Wireless Intrusion Detection Sytem
… of security. This paper describes a Wireless Intrusion Detection System (WIDS) that provides additional security for 802.11b wireless networks. WIDS provides intrusion detection that can react to potential threats and locate an intruder through the use of intelligent access points equipped …
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Battery-Based Intrusion Detection
… warning system via a mobile host-based form of intrusion detection that can alert security administrators to protect their corporate network(s) by a novel technique that operates through the implementation of smart battery-based intrusion detection (B-bid) on mobile devices, such as PDAs, …
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Using VProbes for intrusion detection
Many current intrusion detection systems (IDSes) are vulnerable to intruders because they are running under the same operating system (OS) as a potential attacker. Since an attacker will often be attempting to co-opt the OS, this leaves the IDS vulnerable to subversion by the attacker. While some …
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Intrusion Detection In Wireless Sensor Networks
… In our case, the light sensor is chosen for the detection. When an intruder crosses the monitored environment, the system detects the changes of the light values, and any significant change meaning that a change greater than a pre-defined threshold. This indicates the presence of an intruder. An …
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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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Intrusion detection for industrial control systems
… a need for strong cybersecurity anomaly and intrusion detection for these systems; however, due to the complexity and diversity of ICSs, well defined and reliable anomaly and intrusion detection systems are still being developed. Machine learning approaches for anomaly and intrusion detection …
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Heuristics for Improved Enterprise Intrusion Detection
… The current approach is to deploy a set of intrusion detection sensors (IDSs) in various locations throughout the network and on strategic hosts. Unfortunately, the available intrusion detection technologies generate an overwhelming volume of false alarms, making the task of identifying …
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Incremental Bayesian segmentation for intrusion detection
… by a Unix host in order to detect potential intrusion attacks. Sequences of system calls generated by privileged processes are analyzed using incremental Bayesian segmentation in order to detect anomalous activity. Theoretical analysis of various aspects of the algorithm and empirical …
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Multi-Vector Portable Intrusion Detection System
This research describes an intrusion detection system designed to fulfill the need for increased mobile device security. The Battery-Sensing Intrusion Protection System (B-SIPS) [1] initially took a non-conventional approach to intrusion detection by recognizing attacks based on anomalous …
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An adaptive automatically tuning intrusion detection system.
An adaptive automatically tuning intrusion detection system.
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Multi-Agent Reinforcement Learning for Intrusion Detection
… hand-coded solutions emulating simple misuse intrusion detection and a hybrid approach using misuse and anomaly methods. We found that our learning approach generates better results than the simple hand-coded misuse methods. Even though the hybrid hand-coded approach shows slightly better …
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Network Intrusion Detection: Monitoring, Simulation And Visualization
This dissertation presents our work on network intrusion detection and intrusion sim- ulation. The work in intrusion detection consists of two different network anomaly-based approaches. The work in intrusion simulation introduces a model using explicit traffic gen- eration for the packet level …
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User-centered intrusion detection using heterogeneous data
… become essential for organizations to automate intrusion detection via machine learning solutions. This generally comes with numerous challenges, among others high class imbalance, changing target concepts and difficulties to conduct sound evaluation. In this thesis, we adopt a user-centered …
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Undersampling GA-SVM for network intrusion detection
Network intrusion detection is one of the hottest issues in the world. An increasing number of researchers and engineers deal with this problem by using machine learning methods. However, how to improve the identification accuracy of all the attack classes remains unsolved since the dataset is an …
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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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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, intelligent agents, and soft computing
<p>Demand for intrusion detection systems (IDSs) has increased significantly due to the exponential increase of malignant activities and the shortage of trained network administrators. It is mandatory that an IDS aid network administrators in responding quickly to security threats in order to …
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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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