arXiv subjects

Youssef Gahi

Publications and source records attributed to Youssef Gahi.

5 recordsLinked to original sources

arXiv2026

What Went Wrong with Data Lakes? A 15-Year Reality Check from the Field

James Dixon introduced the Data Lake in 2010. The pitch was simple: store data raw, postpone schema, cut up-front transformation. It promised flexibility and easier analytics. Fifteen years on, that promise has mostly gone unmet: survey after survey reports high failure rates, whether a big data program, a Data Lake, or a data science effort. This paper asks why. Reading 64 sources across academic work, analyst reports, and practitioner accounts, we found seven recurring anti-patterns, the Seven Deadly Sins of Data Lakes, and offer an explanation for them: Governance Debt, the compounding cost of governance decisions organizations keep deferring. A second pattern surfaced on its own: when governance gets hard, organizations drift back toward structured, warehouse-style approaches, a pull we name governance gravity. The term Data Swamp is used loosely in the literature, so we give it a working definition with measurable indicators, plus a qualitative rubric, the Governance Debt Assessment Model, for catching decay early. The root causes are organizational far more than technical. We also asked whether the newer paradigms, Data Lakehouse and Data Mesh, absorbed the lesson; the technology advanced, the organizational record barely moved. For practitioners we provide two tools, a Reality Check Framework and a Stage-Based Intervention Matrix. The paper rests on more than the analyst literature: it draws on a primary catalogue of close to five hundred field reality checks recorded over fifteen years of building and rescuing enterprise Data Lakes in financial services and telecommunications across Morocco and West Africa. Assembled independently of that literature, the catalogue lands on the same anti-patterns, surfaces two dimensions the literature under-reports, operational debt and engineering-discipline debt, and reads the problem from an emerging-market vantage.

cs.ET↗

arXiv2015

A Secure Database System using Homomorphic Encryption Schemes

Cloud computing emerges as an attractive solution that can be delegated to store and process confidential data. However, several security risks are encountered with such a system as the securely encrypted data should be decrypted before processing them. Therefore, the decrypted data is susceptible to reading and alterations. As a result, processing encrypted data has been a research subject since the publication of the RSA encryption scheme in 1978. In this paper we present a relational database system based on homomorphic encryption schemes to preserve the integrity and confidentiality of the data. Our system executes SQL queries over encrypted data. We tested our system with a recently developed homomorphic scheme that enables the execution of arithmetic operations on ciphertexts. We show that the proposed system performs accurate SQL operations, yet its performance discourages a practical implementation of this system.

cs.CR↗

arXiv2015

An Encrypted Trust-Based Routing Protocol

The interest in trust-based routing protocols has grown with the advancements achieved in ad-hoc wireless networks.However, regardless of the many security approaches and trust metrics available, trust-based routing still faces some security challenges, especially with respect to privacy. In this paper, we propose a novel trust-based routing protocol based on a fully homomorphic encryption scheme. The new protocol allows nodes, which collaborate in a dynamic environment, to evaluate their knowledge on the trustworthiness of specific routes and securely share this knowledge.

cs.CR↗

arXiv2015

On the use of homomorphic encryption to secure cloud computing, services, and routing protocols

The trend towards delegating data processing to a remote party raises major concerns related to privacy violations for both end-users and service providers. These concerns have attracted the attention of the research community, and several techniques have been proposed to protect against malicious parties by providing secure communication protocols. Most of the proposed techniques, however, require the involvement of a third party, and this by itself can be viewed as another security concern. These security breaches can be avoided by following a new approach that depends on data sorted, managed, and stored in encrypted form at the remote servers. To realize such an approach, the encryption cryptosystem must support algebraic operations over encrypted data. This cryptosystem can be effective in protecting data and supporting the construction of programs that can process encrypted input and produce encrypted output. In fact, the latter programs do not decrypt the input, and therefore, they can be run by an un-trusted party without revealing their data and internal states. Furthermore, such programs prove to be practical in situations where we need to outsource private computations, especially in the context of cloud computing. Homomorphic cryptosystems are perfectly aligned with these objectives as they are a strong foundation for schemes that allow a blind processing of encrypted data without the need to decrypt them. In this dissertation we rely on homomorphic encryption schemes to secure cloud computing, services and routing protocols. We design several circuits that allow for the blind processing and management of data such that malicious parties are denied access to sensitive information. We select five areas to apply our models to. These models are easily customized for many other areas. We also provide prototypes that we use to study the performance and robustness of our models.

cs.CR↗

arXiv2013

Infrastructure Logicielle d un Environnement Hospitalier Intelligent

The impact of new technologies in the field of healthcare has been proven to be satisfactory in improving the quality of care and services for patients. The hospital environment is undoubtedly one of the environments where human or hardware errors can cause harmful damage. It is therefore very useful for the sector to be at the forefront of technology and use the strongest and most efficient means since it is supposed to be an environment of reliability, trust and is legally responsible for ensuring the confidentiality of all patient information. In this project we have proposed and developed a smart hospital enviornement that allows both, detecting patien fall and send alerts to the suitable parties, and securing patien stored data through RFID technology.

cs.CY↗