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- Backdoors (1)
- Chaos (1)
- Cloud Computing (1)
- Cloud security (1)
- Computational Modelling (1)
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- Data-centers (1)
- Discrete Fourier transforms (1)
- Entropy (1)
- Linux Kernel (1)
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- Measurement (1)
- Noise (1)
- One-time pad (1)
- Prediction Methods (1)
- Resource Allocation Algorithms (1)
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- Signal Processing (1)
- Snowden (1)
- Source Separation (1)
- Video-on-Demand (1)
- Von Neumann. (1)
- Publication
Articles 1 - 2 of 2
Full-Text Articles in Computational Engineering
On The Development Of A One-Time Pad Generator For Personalising Cloud Security, Paul Tobin, Lee Tobin, Michael Mckeever, Jonathan Blackledge
On The Development Of A One-Time Pad Generator For Personalising Cloud Security, Paul Tobin, Lee Tobin, Michael Mckeever, Jonathan Blackledge
Conference papers
Cloud computing security issues are being reported in newspapers, television, and on the Internet, on a daily basis. Furthermore, in 2013, Edward Snowden alleged backdoors were placed in a number of encryption systems by the National Security Agency causing confidence in public encryption to drop even further. Our solution allows the end-user to add a layer of unbreakable security by encrypting the data locally with a random number generator prior to uploading data to the Cloud. The prototype one-time pad generator is impervious to cryptanalysis because it generates unbreakable random binary sequences from chaos sources initiated from a natural noise. …
Source Separation Approach To Video Quality Prediction In Computer Networks, Ruairí De Fréin
Source Separation Approach To Video Quality Prediction In Computer Networks, Ruairí De Fréin
Articles
Time-varying loads introduce errors in the estimated model parameters of service-level predictors in Computer Networks. A load-adjusted modification of a traditional unadjusted service-level predictor is contributed, based on Source Separation (SS). It mitigates these errors and improves service-quality predictions for Video-on-Demand (VoD) by :6 to 2dB.