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Physical Sciences and Mathematics Commons™
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Full-Text Articles in Physical Sciences and Mathematics
Utilizing Graphics Processing Units For Network Anomaly Detection, Jonathan D. Hersack
Utilizing Graphics Processing Units For Network Anomaly Detection, Jonathan D. Hersack
Theses and Dissertations
This research explores the benefits of using commonly-available graphics processing units (GPUs) to perform classification of network traffic using supervised machine learning algorithms. Two full factorial experiments are conducted using a NVIDIA GeForce GTX 280 graphics card. The goal of the first experiment is to create a baseline for the relative performance of the CPU and GPU implementations of artificial neural network (ANN) and support vector machine (SVM) detection methods under varying loads. The goal of the second experiment is to determine the optimal ensemble configuration for classifying processed packet payloads using the GPU anomaly detector. The GPU ANN achieves …
Effects Of Architecture On Information Leakage Of A Hardware Advanced Encryption Standard Implementation, Eric A. Koziel
Effects Of Architecture On Information Leakage Of A Hardware Advanced Encryption Standard Implementation, Eric A. Koziel
Theses and Dissertations
Side-channel analysis (SCA) is a threat to many modern cryptosystems. Many countermeasures exist, but are costly to implement and still do not provide complete protection against SCA. A plausible alternative is to design the cryptosystem using architectures that are known to leak little information about the cryptosystem's operations. This research uses several common primitive architectures for the Advanced Encryption Standard (AES) and assesses the susceptibility of the full AES system to side-channel attack for various primitive configurations. A combined encryption/decryption core is also evaluated to determine if variation of high-level architectures affects leakage characteristics. These different configurations are evaluated under …
Process Flow Features As A Host-Based Event Knowledge Representation, Benhur E. Pacer
Process Flow Features As A Host-Based Event Knowledge Representation, Benhur E. Pacer
Theses and Dissertations
The detection of malware is of great importance but even non-malicious software can be used for malicious purposes. Monitoring processes and their associated information can characterize normal behavior and help identify malicious processes or malicious use of normal process by measuring deviations from the learned baseline. This exploratory research describes a novel host feature generation process that calculates statistics of an executing process during a window of time called a process flow. Process flows are calculated from key process data structures extracted from computer memory using virtual machine introspection. Each flow cluster generated using k-means of the flow features represents …
Detector Design Considerations In High-Dimensional Artificial Immune Systems, Jason M. Bindewald
Detector Design Considerations In High-Dimensional Artificial Immune Systems, Jason M. Bindewald
Theses and Dissertations
This research lays the groundwork for a network intrusion detection system that can operate with only knowledge of normal network traffic, using a process known as anomaly detection. Real-valued negative selection (RNS) is a specific anomaly detection algorithm that can be used to perform two-class classification when only one class is available for training. Researchers have shown fundamental problems with the most common detector shape, hyperspheres, in high-dimensional space. The research contained herein shows that the second most common detector type, hypercubes, can also cause problems due to biasing certain features in high dimensions. To address these problems, a new …
Obfuscating Against Side-Channel Power Analysis Using Hiding Techniques For Aes, Austin W. Fritzke
Obfuscating Against Side-Channel Power Analysis Using Hiding Techniques For Aes, Austin W. Fritzke
Theses and Dissertations
The transfer of information has always been an integral part of military and civilian operations, and remains so today. Because not all information we share is public, it is important to secure our data from unwanted parties. Message encryption serves to prevent all but the sender and recipient from viewing any encrypted information as long as the key stays hidden. The Advanced Encryption Standard (AES) is the current industry and military standard for symmetric-key encryption. While AES remains computationally infeasible to break the encrypted message stream, it is susceptible to side-channel attacks if an adversary has access to the appropriate …
Binary Disassembly Block Coverage By Symbolic Execution Vs. Recursive Descent, Jonathan D. Miller
Binary Disassembly Block Coverage By Symbolic Execution Vs. Recursive Descent, Jonathan D. Miller
Theses and Dissertations
This research determines how appropriate symbolic execution is (given its current implementation) for binary analysis by measuring how much of an executable symbolic execution allows an analyst to reason about. Using the S2E Selective Symbolic Execution Engine with a built-in constraint solver (KLEE), this research measures the effectiveness of S2E on a sample of 27 Debian Linux binaries as compared to a traditional static disassembly tool, IDA Pro. Disassembly code coverage and path exploration is used as a metric for determining success. This research also explores the effectiveness of symbolic execution on packed or obfuscated samples of the same binaries …
Security Standards And Best Practice Considerations For Quantum Key Distribution (Qkd), Carole A. Harper
Security Standards And Best Practice Considerations For Quantum Key Distribution (Qkd), Carole A. Harper
Theses and Dissertations
Quantum Key Distribution (QKD) systems combine cryptographic primitives with quantum information theory to produce a theoretic unconditionally secure cryptographic key. However, real-world implementations of QKD systems are far from ideal and differ significantly from the theoretic model. Because of this, real-world QKD systems require additional practical considerations when implemented to achieve secure operations. In this thesis, a content analysis of the published literature is conducted to determine if established security and cryptographic standards and best practices are addressed in real world, practical QKD implementations. The research reveals that most published, real world QKD implementations do not take advantage of established …
Empirical Analysis Of Optical Attenuator Performance In Quantum Key Distribution Systems Using A Particle Model, Thomas C. Adams
Empirical Analysis Of Optical Attenuator Performance In Quantum Key Distribution Systems Using A Particle Model, Thomas C. Adams
Theses and Dissertations
Quantum key distribution networks currently represent an active area of development and software modeling to address the security of future communications. One of the components used in quantum key distribution implementations is an optical attenuator. Its role in the system is necessary to reach the single photon per bit necessary to maintain theoretically perfect secrecy. How the photon pulse is modeled has a significant impact on the accuracy and performance of quantum channel components like the optical attenuator. Classical physics describe light using Maxwell's wave equations for electromagnetism. Quantum physics has demonstrated light also behaves as discrete particles referred to …