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 26 for “"Malicious software"”.
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Analysis avoidance techniques of malicious software
Anti Virus (AV) software generally employs signature matching and heuristics to detect the presence of malicious software (malware). The generation of signatures and determination of heuristics is dependent upon an AV analyst having successfully determined the nature of the malware, not only for …
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Dynamic Behavioral Analysis of Malicious Software with Norman Sandbox
… quickly: AV products miss between 25%-80% of new malicious software within a week of not updating. This thesis researches and develops a detection/classification mechanism for malicious software through statistical analysis of dynamic malware behavior. Several characteristics for each behavior …
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Using STAMP to understand recent increases in malicious software activity
… I have chosen to investigate the threat posed by malicious computer software such as computer viruses. The problem is especially interesting because surrounding the technical aspects of malicious software is a rich socio-technical system. The first part of the thesis investigates two recent …
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Network and Host Based Countermeasures against Large-scale Networked Compromised Systems or Malicious Software.
North Carolina State University Theses Computer Science.
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Performance of Malware Classification on Machine Learning using Feature Selection
… heavily rely on computers running all kinds of software. Malware writers create malicious software by creating new variants, new innovations, new infections and more obfuscated malware by using techniques such as packing and encrypting techniques. Malicious software classification and detection …
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Lightweight and purpose built hypervisor for malware analysis
Malicious software is rampant on the Internet and costs billions of dollars each year. Safe and thorough analysis of malware is key to protecting vulnerable systems and cleaning those that have already been infected. Most current state-of-the-art analysis platforms run alongside the malware, …
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Using High-level Synthesis to Predict and Preempt Attacks on Industrial Control Systems
As the rate and severity of malicious software attacks have escalated, industrial control systems (ICSes) have emerged as a particularly vulnerable target. ICSes govern the automation of the physical processes in industries such as power, water, oil and manufacturing. In contrast to the personal …
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Attack and Defense with Hardware-Aided Security
… environment. With the continuing widespread of malicious software and new vulnerabilities revealing every day, protecting the heterogeneous computing systems across the Internet has become a daunting task. Our approach to this challenge consists of two directions. The first direction aims to …
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Quboid : a workstation for safer web interaction
… user credentials or download unsolicited and malicious software. This thesis presents the design and implementation of Quboid, a workstation for safer web interaction. Quboid helps users better defend against phishing attacks by providing several security mechanisms. The design of Quboid is …
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Preemptive Detection of Cyber Attacks on Industrial Control Systems
… hardware, making them invisible to operating software and ensuring their integrity in the presence of malicious software. Hardware implementation of our approach on an inverted pendulum system illustrates the performance of both techniques in the presence of reconfiguration and network attacks.
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Integrating Multiple Data Views for Improved Malware Analysis
Malicious software (malware) has become a prominent fixture in computing. There have been many methods developed over the years to combat the spread of malware, but these methods have inevitably been met with countermeasures. For instance, signature-based malware detection gave rise to polymorphic …
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Classifying malicious windows executables using anomaly based detection
A malicious executable is broadly defined as any program or piece of code designed to cause damage to a system or the information it contains, or to prevent the system from being used in a normal manner. A generic term used to describe any kind of malicious software is Maiware, which includes …
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An investigation of network countermeasure against fast self-propagating malware
A self-propagating malware is a malicious software program that spreads itself across the Internet by exploiting flaws in software systems and therefore capable of launching attack against vulnerable Internet hosts. Fast self-propagating malware poses a security threat to hosts that are connected …
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Android behind the scenes: revealing hidden malware with AndroMEDA
… using different types of techniques including malicious applications such as malware and trojans. To better understand mobile malware, we introduce the concept of the User-App Agreement (UAA) — a concep- tual framework for a user consenting to and trusting specific actions an app may perform. …
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Improved Kernel Security Through Code Validation, Diversification, and Minimization
… families. In such operating systems the kernel software executes at the highest processor privilege level. If an adversary is able to hijack the kernel software then by extension he has full control of the system. This control includes the ability to disable protection mechanisms and hide …
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Real-Time Intelligent Detection System Designs for Web Phishing Attacks
… and defends them against accidentally opening malicious URLs. The system isolates the suspected webpage to protect users' local systems from downloading malicious software. Then, we collect all URLs embedded in the webpage and use a deep learning (DL) model to classify each URL independently. …
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Anomaly detection in kernel-level process events using machine learning-based context analysis
… detection at the application layer is that a malicious software like Stuxnet worm can successfully return looped expected values to a monitoring application while executing the attack. To overcome these application layer-based anomaly detector limitations, we focus on anomaly detection at the …
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A Digital Forensic Readiness Approach for Ransomware Forensics
… These exploitations are mostly carried out by malicious software (malware). Ransomware, a variant of malware which encrypts user files and retains the decryption key for ransom. Ransomware has shown its dominance over the years wreaking havoc to many organizations and users. This global digital …
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A Framework for the Systematic Evaluation of Malware Forensic Tools
… the research focuses upon investigations where malicious software (‘malware’) has been identified. A framework, called the ‘Malware Analysis Tool Evaluation Framework’ (MATEF), has been developed to address this lack of methodology to evaluate software tools used during investigations involving …
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Anomaly based Intrusion Detection System through Remote Virtual Machine Introspection
<p>Research on identifying malicious applications is an important direction in information security, especially when it comes to detection of evasive malware such as keyloggers, trojans, rootkits and their derivatives. Inspired by a biological immune system and based on negative selection algorithm …
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