Browsing by Author "Zawawi, Nour"

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A Large Dataset Enhanced Watermarking Service for Cloud Environments
(Springer, Cham, 11/28/2014) Zawawi, Nour; Hamdy, Mohamed; El-Gohary, Rania; Fahmy Tolba, Mohamed
Preventing data abuses in cloud remains an essential point of the research. Proving the integrity and non-repudiation for large datasets over the cloud has an increasing attention of database community. Having security services based on watermarking techniques that enable permanent preservation for data tuples in terms of integrity and recovery for cloud environments presents the milestone of establishing trust between the data owners and the database cloud services. In this paper, an enhanced secure database service for Cloud environments (EWRDN) is proposed. It based over enhancements on WRDN as a data watermarking approach. The proposed service guarantees data integrity, privacy, and non-repudiation recovering data to its origin. Moreover, it gives data owner more controlling capabilities for their data by enabling tracing users’ activities. Two compression categories to recover data to its origin introduced for the proposed service. Two compression technique (the arithmetic encoding and the transform encoding) chosen to represent each type. For large data sets, it has been proven that, the arithmetic encoding has a fixed recovery ratio equal to one. At the same time, the transform encoding saves space and consumed less time to recover data. Moreover, testing the performance is done of the proposed service versus a large number of tuples, large data set. The performance quantified in terms of processing time and the required memory resources. The enhanced EWRDN service has shown a good performance in our experiments.
A Novel Watermarking Approach for Data Integrity and Non-repudiation in Rational Databases
(Springer, Berlin, Heidelberg, 12/08/2012) Zawawi, Nour; El-Gohary, Rania; Hamdy, Mohamed; Fahmy Tolba, Mohamed
Keepinglarge scale data sets like data warehouse seems a vital demand of business organizations. Proving copyright, ownership, integrity and non-repudiation have a growing interest of database community. Many watermarking techniques have been proposed in the literature to address these purposes. This paper introduces a new technique WRDN (Watermarking Rational Database with Non-Repudiation) to protect the ownership of relational database by adding only one hidden column with a secret formula where it has the ability to know the latest updates made by users. The calculation of this formula is based on the values of other numeric and textual columns. Moreover, the proposed approach keeps track on the latest updates made to numeric and textual data by users. This approach is compared to two other alternative approaches. The proposed approach survives by 100% against insertion and deletion attacks.
Random Forest-Based Survival Analysis for Predicting the Future Progression of Brain Disorder from Mild Cognitive Impairment (MCI) to Alzheimer’s Disease (AD)
(Intelligent Networks and Systems Society, 2024-05) Zawawi, Nour; Negied, Nermin
The race to halt Alzheimer's disease (AD) in its tracks demands an early warning system. By predicting which mild cognitive impairment (MCI) patients are likely to decline into AD, clinicians can intervene while the window of opportunity remains open. But how to separate the MCI patients bound for AD from those with more benign forms of impairment? The key lies in examining the factors that influence disease progression. While prior studies have scratched the surface, a comprehensive analysis has proven elusive. Enter the Alzheimer's Disease Neuroimaging Initiative database, which tracks AD progression through a wealth of patient characteristics. Leveraging these rich data, our hybrid approach combines survival analysis with machine learning to generate dynamic predictions of time to AD onset. Rather than merely detecting AD early or diagnosing its current state, our model gazes into the future, forecasting progression from MCI to AD before the disease fully erupts. Among similar efforts, the proposed approach stands apart in scale and accuracy, validated on more patients and with higher predictive power than earlier attempts. Even cognitive tests or brain scans alone can foretell decline, with the proposed work achieving a remarkable C-index of 0.85 when evaluated using the whole ADNI dataset not only a sample from it. By revealing who is likely to convert to AD and when, this work enables clinicians to intervene at the critical junction where MCI transitions to inevitable decline. The future of AD treatment may hinge on such early warnings.
Realization of a data traceability and recovery service for a trusted authority service co-ordination within a Cloud environment
(SPRINGER, 2016) Zawawi, Nour; Hamdy, Mohamed; Ghary, R; F Tolba, Mohamed
Data traceability and recovery are very important concerns when moving data to the Cloud. The Enhanced Watermarking Approach for Data Integrity and Non-repudiation in Rational Databases (EWRDN) provides data security means as integrity, secrecy, non-repudiation and privacy using data watermarking and compression techniques. These capabilities may enhance the whole security and trust of service providers. It gives the data owners the ability to monitor and recover data, if required. Co-ordinations between different services for data storage, manipulation and retrieval over the Cloud represents the milestone in composing the Database as a Service. Until now and to the best of our knowledge, such a service is not yet realized in a real Cloud environment. In this article, a realization for a proposed EWRDN service with data traceability capabilities is elaborated with the required performance analysis which is the main contribution of this work. A Trusted Authority service co-ordination to operate the proposed service is introduced as well. The results have shown that, the proposed service co-ordination can provide the data traceability features and stands against most of the experienced data security threats through the experiments. Moreover, EWRDN service as a differentiated quality service has been proven to provide two different data compression qualities. It has been shown that within an EWRDN co-ordination, a fixed recovery ratio of compression has been achieved.
Security Issues on Cloud Data Services
(Springer, Berlin, Heidelberg, 2014) Zawawi, Nour; Hamdy El-Eliemy, Mohamed; El-Gohary, Rania; Tolba, Mohamed F
In Cloud environments, resources are provided as services to endusers over the internet upon request. Resources’ coordination in the Cloud enables users to reach their resources anywhere and anytime. Ensuring the security in Cloud environment plays an important role, as customers often store important information on Cloud storage services. These services are not always trusted by the data owners. Customers are wondering about the integrity and the availability of their data in the Cloud. Users need to save their data from outsider and insider attackers (i.e. attacker within service providers’ coordination’s). Moreover, any collateral damage or errors of Cloud services provider arises as a concern as well. Most of the vital security needs and issues regarding data Cloud services are mentioned in this chapter. The purpose of this chapter is to examine recent research related to data security and to address possible solutions. Research of employing uncommon security schemes into Cloud environments has received an increasing interest in the literature, although these schemes are neither mature nor rigid yet. This work aspires to promote the use of security protocols due to their ability to reduce security risks that affect users of data Cloud services.