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Our ability to manipulate individual particles over the past 20 years has enabled a new quantum revolution. This new revolution, known as the “second quantum revolution,” is characterized by the ability to exploit quantum effects for engineering purposes.
This article deals with the issue of backdoors in encryption algorithms and systems and, more generally, that of control by most states, encryption means and, beyond that, information technology. The objective is to understand since when, why and how this control has been implemented and is evolving.Regarding the backdoors of a mathematical nature, the most difficult to conceive and, in the current state of knowledge, which it is, if not impossible, at least extremely difficult to detect, this article presents some more or less well-known cases and the stakes they represent. Finally, it will be explained and illustrated why this control not only makes no sense, but also how it constitutes a danger for modern and democratic societies.
This article briefly presents the main topologies and technologies used to set up VPN (Virtual Private Network)).After discussing the functions of a VPN, the article describes the two possibilities of exploitation (by the company or an operator) of the VPNs and then the classic topologies: Total mesh, Star, Hub and Spoke, Hybrid.The impact of an enterprise VPN is also considered before briefly describing the main protocols: IPsec, SSL, GRE, MPLS as well as private VPN services provided by commercial companies
In 2008 Satoshi Nakamoto defined a new model of currencies. The issuance and management of such a currency take place on a peer-to-peer network without central control. Bitcoin is the first cryptographic currency created on this model. It exists since January 2009.As the 7000 other crypto-currencies of the same type created in its wake, it works through what is called a blockchain. This shared file and collectively controlled file by a peer-to-peer network can be used for many other purposes. Many applications are developed and implemented gradually, especially in the world of banking and finance.
This paper discusses the European regulation on artificial intelligence systems, the AI Act. This regulation addresses the principles of good management of an artificial intelligence system using a risk-based approach and provides related compliance and control procedures. The article provides a series of use cases and feedback to facilitate the understanding and integration of the AI Act within organizations.
Cloud Computing allows businesses and individuals to deploy data and applications among external infrastructures, leased when needed, and released when useless. It is possible thanks to the ubiquitous network and to virtual machines techniques, made available by the performances of modern microprocessors. This dissemination of data lessens data losses risks, but creates new risks related to privacy and data corruption. And there are "black clouds", used by cybercrime organisations.
Project risk management can be understood through a set of formalized methods. The paper addresses more particularly the role of agile methods in risk project mitigation. With the help of feedback but also concrete situations observed in organizations, this paper offers an illustrated vision of the implementation of agile methods within the framework of software projects.
The 802.11ah standard, also known as Wi-Fi HaLow, is a wireless communication solution specifically designed to meet IoT requirements. It takes the features of traditionnal Wi-Fi and integrates new mechanisms to:-increase the transmission range to a few kilometers;-optimize energy consumption;-manage a large number of devices.This article presents and describes the features of the Wi-Fi HaLow protocol, its functionalities and energy management methods. Simple theoretical models are also proposed, in order to qualify these performances and envisage fields of application.
What do we mean by information systems security, for what purposes and with what organization?This article details the key principles of information systems security, and discusses how to organize such systems, in an increasingly regulated context and in the face of ever-greater exposure to data-related risks. Governance, organizational, human and technical resources are detailed in the article, along with a number of illustrations.
We present attack mechanisms linked to social engineering, such as phishing or smishing techniques. Their prevention in the context of Information Systems (IS) cybersecurity, where human vulnerabilities account for 74% of attacks, exploiting cognitive biases and human weaknesses, based on AI tools, is strategic.Current countermeasures (training, prevention) remain limited. Dynamic and gaming approaches, reinforcing critical thinking, combined with organizational policies and integrating the human element as a key asset in a proactive security strategy, aim to anticipate future threats and yet unknown scenarios.
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