Robust two-factor smart card authentication

Being very resilient devices, smart cards have been commonly used for two-factor authentication schemes. However, the possibility of side-channel attacks renders private data stored in the cards vulnerable to compromise. With this in mind, we propose an authentication protocol that incorporates a second factor, which is as a password, in addition to the smart card. The scheme is aimed to withstand most common security breaches as well as compromised smart card scenarios and offline dictionary attacks on the passwords. Details of a reference implementation are also given along with performance evaluation of the proposed protocol comparing to the literature. Performance analyses show that the proposed protocol outperforms existing solutions in the literature. Moreover, the computational cost of the proposed protocol is less than 2 seconds on our reference implementation that uses commercially available smart cards

A Secure Mobile-based Authentication System

Financial information is extremely sensitive. Hence, electronic banking must provide a robust system to authenticate its customers and let them access their data remotely. On the other hand, such system must be usable, affordable, and portable.We propose a challengeresponse based one-time password (OTP) scheme that uses symmetric cryptography in combination with a hardware security module. The proposed protocol safeguards passwords from keyloggers and phishing attacks. Besides, this solution provides convenient mobility for users who want to bank online anytime and anywhere, not just from their own trusted computers.La informació financera és extremadament sensible. Per tant, la banca electrònica ha de proporcionar un sistema robust per autenticar als seus clients i fer-los accedir a les dades de forma remota. D'altra banda, aquest sistema ha de ser usable, accessible, i portàtil. Es proposa una resposta al desafiament basat en una contrasenya única (OTP), esquema que utilitza la criptografia simètrica en combinació amb un mòdul de maquinari de seguretat. Amés, aquesta solució ofereix mobilitat convenient per als usuaris que volen bancària en línia en qualsevol moment i en qualsevol lloc, no només des dels seus propis equips de confiança.La información financiera es extremadamente sensible. Por lo tanto, la banca electrónica debe proporcionar un sistema robusto para autenticar a sus clientes y hacerles acceder a sus datos de forma remota. Por otra parte, dicho sistema debe ser usable, accesible, y portátil. Se propone una respuesta al desafío basado en una contraseña única (OTP), esquema que utiliza la criptografía simétrica en combinación con un módulo hardware de seguridad hardware. Además, esta solución ofrece una movilidad conveniente para los usuarios que quieren la entidad bancaria en línea en cualquier momento y en cualquier lugar, no sólo des de sus propios equipos de confianza

RUASN: A Robust User Authentication Framework for Wireless Sensor Networks

In recent years, wireless sensor networks (WSNs) have been considered as a potential solution for real-time monitoring applications and these WSNs have potential practical impact on next generation technology too. However, WSNs could become a threat if suitable security is not considered before the deployment and if there are any loopholes in their security, which might open the door for an attacker and hence, endanger the application. User authentication is one of the most important security services to protect WSN data access from unauthorized users; it should provide both mutual authentication and session key establishment services. This paper proposes a robust user authentication framework for wireless sensor networks, based on a two-factor (password and smart card) concept. This scheme facilitates many services to the users such as user anonymity, mutual authentication, secure session key establishment and it allows users to choose/update their password regularly, whenever needed. Furthermore, we have provided the formal verification using Rubin logic and compare RUASN with many existing schemes. As a result, we found that the proposed scheme possesses many advantages against popular attacks, and achieves better efficiency at low computation cost

Password Based a Generalize Robust Security System Design Using Neural Network

Among the various means of available resource protection including biometrics, password based system is most simple, user friendly, cost effective and commonly used. But this method having high sensitivity with attacks. Most of the advanced methods for authentication based on password encrypt the contents of password before storing or transmitting in physical domain. But all conventional cryptographic based encryption methods are having its own limitations, generally either in terms of complexity or in terms of efficiency. Multi-application usability of password today forcing users to have a proper memory aids. Which itself degrades the level of security. In this paper a method to exploit the artificial neural network to develop the more secure means of authentication, which is more efficient in providing the authentication, at the same time simple in design, has given. Apart from protection, a step toward perfect security has taken by adding the feature of intruder detection along with the protection system. This is possible by analysis of several logical parameters associated with the user activities. A new method of designing the security system centrally based on neural network with intrusion detection capability to handles the challenges available with present solutions, for any kind of resource has presented

Challenges of Multi-Factor Authentication for Securing Advanced IoT (A-IoT) Applications

The unprecedented proliferation of smart devices together with novel communication, computing, and control technologies have paved the way for the Advanced Internet of Things~(A-IoT). This development involves new categories of capable devices, such as high-end wearables, smart vehicles, and consumer drones aiming to enable efficient and collaborative utilization within the Smart City paradigm. While massive deployments of these objects may enrich people's lives, unauthorized access to the said equipment is potentially dangerous. Hence, highly-secure human authentication mechanisms have to be designed. At the same time, human beings desire comfortable interaction with their owned devices on a daily basis, thus demanding the authentication procedures to be seamless and user-friendly, mindful of the contemporary urban dynamics. In response to these unique challenges, this work advocates for the adoption of multi-factor authentication for A-IoT, such that multiple heterogeneous methods - both well-established and emerging - are combined intelligently to grant or deny access reliably. We thus discuss the pros and cons of various solutions as well as introduce tools to combine the authentication factors, with an emphasis on challenging Smart City environments. We finally outline the open questions to shape future research efforts in this emerging field.Comment: 7 pages, 4 figures, 2 tables. The work has been accepted for publication in IEEE Network, 2019. Copyright may be transferred without notice, after which this version may no longer be accessibl