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 37 for “"data confidentiality"”.
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Secure framework for virtualized systems with data confidentiality protection
Made available in DSpace on 2015-07-22T22:15:42Z (GMT). No. of bitstreams: 2 Yao_Fangzhou.pdf: 342527 bytes, checksum: 3d1901724e6a4287705d14ed14deb878 (MD5) license.txt: 4058 bytes, checksum: af3c499075bea6c33b5365dec573e091 (MD5) Previous issue date: 2015-01-26
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Security for Mobile Grid Systems
… idea depends on migrating or relocating jobs, data and application software among Grid nodes. However, making use of mobility technology leads to data confidentiality problems within the Grid. Data confidentiality is the protection of data from intruders’ attacks. The data confidentiality can …
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A control theoretic approach for security of cyber-physical systems
… protocol is proposed in order to protect the data confidentiality and integrity. Then considering the fact that the protection of the data confidentiality and integrity is insufficient to guarantee the security in cyber-physical systems, we turn to the development of a general framework for …
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Unveiling data quality dynamics in online retail: An exploration of product attributes
Data quality is essential for effective predictive analytics and operational efficiency in e-commerce. This study investigates the quality of product attribute data such as size, colour, style, and gender classification within an online retail environment, where inaccurate or incomplete attributes …
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Securing mobile ad hoc network routing protocols
… the routing protocol and likewise to protect data transmission. In this thesis, we present the Secure Routing Protocol (SEROP) which achieves data confidentiality and secures the routing protocol for mobile ad hoc networks without demanding any unrealistic assumptions.
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Building practical systems that compute on encrypted data
Theft of confidential data is prevalent. In most applications, confidential data is stored at servers. Thus, existing systems naturally try to prevent adversaries from compromising these servers. However, experience has shown that adversaries still find a way to break in and steal the data. This …
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Key Management Scheme for Smart Grid
… technology (ICT) to run, monitor and control data between the generation source and the end user. It comprises a set of technologies that uses sensing, embedded processing and digital communications to intelligently control and monitor an electricity grid with improved reliability, security, …
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A Suite of Fast and Efficient Cryptographic Mechanisms for Wireless Ultra-Low Power Device Networks
… chains, a dynamic access control, and a secure data transmission protocol to offer affordable, efficient but necessary security protection to ultra-low power devices to meet their network security requirements. More specifically it is to provide data confidentiality, data integrity, …
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Assessing Blockchain’s Potential to Ensure Data Integrity and Security for AI and Machine Learning Applications
<p>The increasing use of data-centric approaches in the fields of Machine Learning and Artificial Intelligence (ML/AI) has raised substantial issues over the security, integrity, and trustworthiness of data. In response to this challenge, Blockchain technology offered a promising and practical …
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Social networking: security, privacy, and applications
… useful functionalities. This vast amount of user data is valuable, and therefore, introduce several security and privacy risks and challenges. In this thesis we propose several techniques to enhance the security and privacy features of online social networks. Our goal is to shift the control over …
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PFHE: partially homomorphic encryption on CNN inference
… (FHE) enables secure computation on encrypted data, but its high computational overhead poses significant challenges for practical deep learning inference. In many application scenarios, high-resolution images may only contain a small portion of sensitive information. We noticed that none of …
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Variation-Derived Chip Security And Accelerated Simulation Of Variations
… power loss or system reset. To prevent against data leakage, we propose the use of truly random, single boot keys, along with a multistage encryption mechanism. We offer insurance against the possibility of a cryptographic break by implementing a two-level encryption scheme that offers …
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A Secure Lightweight Wireless M-Bus Protocol for IoT: Leveraging the Noise Protocol Framework
… for robust security protocols that safeguard data transmission while optimizing device efficiency. Wireless Meter-Bus (wM-Bus), a key protocol for remote meter reading in utility systems such as gas, water, and heat meters, faces significant security challenges. This dissertation introduces a …
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Lightweight cryptographic protocols for mobile devices
… systems. These devices collect and transfer data over the Internet in order for users to access the data or to control these devices remotely. However, the data also may contain sensitive information such as medical records or credit card numbers. This underscores the importance of protecting …
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A dynamic trust and mutual authentication scheme for MANET security
… (Morshed, et al 2010). In order to ensure data confidentiality and end-to-end security, in phase-two, the source and destination generates a shared secret key to communicate with each other using a highly efficient Diffie Hellman Elliptic Curve scheme (Wang, Ramamurthy and Zou, 2006). The …
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Modelling orchestration
… they have expanded their scope out of private datacenters, into the public cloud, and now even towards the edge of the network. These are environments for which they are not designed, and while they share some characteristics with private datacenters, the differences are sufficiently …
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Breaking Privacy in Model-Heterogeneous Federated Learning
… train a machine learning model. In FL, data never leaves client devices; instead, clients only share locally computed gradients or model parameters with a central server. As individual gradients may leak information about a given client's dataset, secure aggregation was proposed. With …
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On the Design and Analysis of Secure Inference Networks
… inference networks, namely Eavesdropping (Data-Confidentiality), Byzantine (Data-Integrity) or Jamming (Data-Availability) attacks. In an attempt to alleviate information leakage to the eavesdropper, we present optimal/near-optimal binary quantizers under two different frameworks, namely …
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Securing cloud-based data analytics: A practical approach
… is driving a massive increase in the amount of data generated by humans and machines. The shift to cloud technologies is a paradigm change that offers considerable financial and administrative gains in the effort to analyze these data. However, governmental and business institutions wanting to …
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Discovery of Triggering Relations and Its Applications in Network Security and Android Malware Detection
… including spyware, worms, and bots, threatens data confidentiality and system integrity on computing devices ranging from backend servers to mobile devices. To address these threats, exacerbated by dynamic network traffic patterns and growing volumes, network security has been undergoing major …
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