Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Keyword
-
- Blockchain (2)
- AWS (1)
- Authentication (1)
- Cloud computing (1)
- Cloud images (1)
-
- Computational Path (1)
- Detectron (1)
- Digital forensics (1)
- Fuzzing (1)
- GOES-16 (1)
- Interdependency (1)
- Latency-aware Placement (1)
- Microservices (1)
- Migration (1)
- NCEI (1)
- NEXRAD (1)
- NOAA (1)
- Network function visualization (1)
- Quality of Service (1)
- Quorum (1)
- Re-instantiation (1)
- Redundancy (1)
- Scheduling (1)
- Service Function Chaining (1)
- Software defined networking (1)
- Stress test (1)
- Stress testing (1)
- Tps (1)
- Virtual machines (1)
- Zero knowledge proofs (1)
- Publication
- Publication Type
Articles 1 - 5 of 5
Full-Text Articles in Other Computer Engineering
Leveraging Cloud-Based Nfv And Sdn Platform Towards Quality-Driven Next-Generation Mobile Networks, Hassan Hawilo
Leveraging Cloud-Based Nfv And Sdn Platform Towards Quality-Driven Next-Generation Mobile Networks, Hassan Hawilo
Electronic Thesis and Dissertation Repository
Network virtualization has become a key approach for Network Service Providers (NSPs) to mitigate the challenge of the continually increasing demands for network services. Tightly coupled with their software components, legacy network devices are difficult to upgrade or modify to meet the dynamically changing end-user needs. To virtualize their infrastructure and mitigate those challenges, NSPs have started to adopt Software Defined Networking (SDN) and Network Function Virtualization (NFV). To this end, this thesis addresses the challenges faced on the road of transforming the legacy networking infrastructure to a more dynamic and agile virtualized environment to meet the rapidly increasing demand …
Effective Fuzzing Framework For The Sleuthkit Tools, Shravya Paruchuri
Effective Fuzzing Framework For The Sleuthkit Tools, Shravya Paruchuri
LSU Master's Theses
The fields of digital forensics and incident response have seen significant growth over the last decade due to the increasing threats faced by organizations and the continued reliance on digital platforms and devices by criminals. In the past, digital investigations were performed manually by expert investigators, but this approach has become no longer viable given the amount of data that must be processed compared to the relatively small number of trained investigators. These resource constraints have led to the development and reliance on automated processing and analysis systems for digital evidence. In this paper, we present our effort to develop …
A Privacy Framework For Decentralized Applications Using Blockchains And Zero Knowledge Proofs, David Gabay
A Privacy Framework For Decentralized Applications Using Blockchains And Zero Knowledge Proofs, David Gabay
FIU Electronic Theses and Dissertations
With the increasing interest in connected vehicles along with electrification opportunities, there is an ongoing effort to automate the charging process of electric vehicles (EVs) through their capabilities to communicate with the infrastructure and each other. However, charging EVs takes time and thus in-advance scheduling is needed. As this process is done frequently due to limited mileage of EVs, it may expose the locations and charging pattern of the EV to the service providers, raising privacy concerns for their users. Nevertheless, the EV still needs to be authenticated to charging providers, which means some information will need to be provided …
Quorum Blockchain Stress Evaluation In Different Environments, Daniel P. Mera
Quorum Blockchain Stress Evaluation In Different Environments, Daniel P. Mera
Student Theses
In today’s world, the Blockchain technology is used for different purposes has brought an increment in the development of different Blockchain platforms, services, and utilities for storing data securely and efficiently. Quorum Blockchain, an Ethereum fork created by JPMorgan Chase, has placed itself in one of the widely used, efficient and trustful Blockchain platforms available today. Because of the importance which Quorum is contributing to the world, it is important to test and measure different aspects of the platform, not only to prove how efficient the software can be but as well as to have a clear view on what …
Integrating Multi-Source Weather Data For Deep Learning, Haidar A. Alanbari Mr
Integrating Multi-Source Weather Data For Deep Learning, Haidar A. Alanbari Mr
Dissertations and Theses
Big Data has been playing a major role in the domain of Deep Learning applications as many companies and institutions continue to find solutions and extract certain trends in fields of climate change, weather forecasting and meteorology. This project extracts weather events data from multiple data sources that are supported by National Centers for Environmental information (NCEI) [1] and Amazon Web Services (AWS) [2]. Data sources include Next-Generation NEXRAD [3] Doppler radar reflectivity, GOES-16 [4] multi-channel satellite imagery and NCEI [1] storm events. Then, it integrates and refines data in proper formats to be fed to the open-source Detectron [5] …