Completely Automated Public Physical test to tell Computers and Humans Apart: A usability study on mobile devices

A very common approach adopted to fight the increasing sophistication and dangerousness of malware and hacking is to introduce more complex authentication mechanisms. This approach, however, introduces additional cognitive burdens for users and lowers the whole authentication mechanism acceptability to the point of making it unusable. On the contrary, what is really needed to fight the onslaught of automated attacks to users data and privacy is to first tell human and computers apart and then distinguish among humans to guarantee correct authentication. Such an approach is capable of completely thwarting any automated attempt to achieve unwarranted access while it allows keeping simple the mechanism dedicated to recognizing the legitimate user. This kind of approach is behind the concept of Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA), yet CAPTCHA leverages cognitive capabilities, thus the increasing sophistication of computers calls for more and more difficult cognitive tasks that make them either very long to solve or very prone to false negatives. We argue that this problem can be overcome by substituting the cognitive component of CAPTCHA with a different property that programs cannot mimic: the physical nature. In past work we have introduced the Completely Automated Public Physical test to tell Computer and Humans Apart (CAPPCHA) as a way to enhance the PIN authentication method for mobile devices and we have provided a proof of concept implementation. Similarly to CAPTCHA, this mechanism can also be used to prevent automated programs from abusing online services. However, to evaluate the real efficacy of the proposed scheme, an extended empirical assessment of CAPPCHA is required as well as a comparison of CAPPCHA performance with the existing state of the art. To this aim, in this paper we carry out an extensive experimental study on both the performance and the usability of CAPPCHA involving a high number of physical users, and we provide comparisons of CAPPCHA with existing flavors of CAPTCHA

OpenID with certificate-based user authentication on smartcard

Ankara : The Department of Computer Engineering and the Graduate School of Engineering and Science of Bilkent University, 2013.Thesis (Master's) -- Bilkent University, 2013.Includes bibliographical references leaves 52-57.From the point of its users, federated identity systems provide great convenience to log in to varied web sites without bothering of registration in advance. Looking from a vantage point, federated identity management gives the opportunity to users of one IT system to access data and sources of another IT system seamlessly and securely without handling a complete user administration. Single signon mechanisms manage user authentication process of these systems prompting log in once and assure access control across those multiple independent systems. OpenID is a widely used federated identity/single sign-on scheme generally implemented with username-password authentication. In this work, we augment the user authentication phase of OpenID with certi cate-based authentication using smartcard technology. Our solution provides a secure method to authenticate the user with user's digital certi cate written on the smartcard.Kişin, Bahar BernaM.S

Strong authentication based on mobile application

The user authentication in online services has evolved over time from the old username and password-based approaches to current strong authentication methodologies. Especially, the smartphone app has become one of the most important forms to perform the authentication. This thesis describes various authentication methods used previously and discusses about possible factors that generated the demand for the current strong authentication approach. We present the concepts and architectures of mobile application based authentication systems. Furthermore, we take closer look into the security of the mobile application based authentication approach. Mobile apps have various attack vectors that need to be taken under consideration when designing an authentication system. Fortunately, various generic software protection mechanisms have been developed during the last decades. We discuss how these mechanisms can be utilized in mobile app environment and in the authentication context. The main idea of this thesis is to gather relevant information about the authentication history and to be able to build a view of strong authentication evolution. This history and the aspects of the evolution are used to state hypothesis about the future research and development. We predict that the authentication systems in the future may be based on a holistic view of the behavioral patterns and physical properties of the user. Machine learning may be used in the future to implement an autonomous authentication concept that enables users to be authenticated with minimal physical or cognitive effort

Offloading cryptographic services to the SIM card in smartphones

Smartphones have achieved ubiquitous presence in people’s everyday life as communication, entertainment and work tools. Touch screens and a variety of sensors offer a rich experience and make applications increasingly diverse, complex and resource demanding. Despite their continuous evolution and enhancements, mobile devices are still limited in terms of battery life, processing power, storage capacity and network bandwidth. Computation offloading stands out among the efforts to extend device capabilities and face the growing gap between demand and availability of resources. As most popular technologies, mobile devices are attractive targets for malicious at- tackers. They usually store sensitive private data of their owners and are increasingly used for security sensitive activities such as online banking or mobile payments. While computation offloading introduces new challenges to the protection of those assets, it is very uncommon to take security and privacy into account as the main optimization objectives of this technique. Mobile OS security relies heavily on cryptography. Available hardware and software cryptographic providers are usually designed to resist software attacks. This kind of protection is not enough when physical control over the device is lost. Secure elements, on the other hand, include a set of protections that make them physically tamper-resistant devices. This work proposes a computation offloading technique that prioritizes enhancing security capabilities in mobile phones by offloading cryptographic operations to the SIM card, the only universally present secure element in those devices. Our contributions include an architecture for this technique, a proof-of-concept prototype developed under Android OS and the results of a performance evaluation that was conducted to study its execution times and battery consumption. Despite some limitations, our approach proves to be a valid alternative to enhance security on any smartphone.Los smartphones están omnipresentes en la vida cotidiana de las personas como herramientas de comunicación, entretenimiento y trabajo. Las pantallas táctiles y una variedad de sensores ofrecen una experiencia superior y hacen que las aplicaciones sean cada vez más diversas, complejas y demanden más recursos. A pesar de su continua evolución y mejoras, los dispositivos móviles aún están limitados en duración de batería, poder de procesamiento, capacidad de almacenamiento y ancho de banda de red. Computation offloading se destaca entre los esfuerzos para ampliar las capacidades del dispositivo y combatir la creciente brecha entre demanda y disponibilidad de recursos. Como toda tecnología popular, los smartphones son blancos atractivos para atacantes maliciosos. Generalmente almacenan datos privados y se utilizan cada vez más para actividades sensibles como banca en línea o pagos móviles. Si bien computation offloading presenta nuevos desafíos al proteger esos activos, es muy poco común tomar seguridad y privacidad como los principales objetivos de optimización de dicha técnica. La seguridad del SO móvil depende fuertemente de la criptografía. Los servicios criptográficos por hardware y software disponibles suelen estar diseñados para resistir ataques de software, protección insuficiente cuando se pierde el control físico sobre el dispositivo. Los elementos seguros, en cambio, incluyen un conjunto de protecciones que los hacen físicamente resistentes a la manipulación. Este trabajo propone una técnica de computation offloading que prioriza mejorar las capacidades de seguridad de los teléfonos móviles descargando operaciones criptográficas a la SIM, único elemento seguro universalmente presente en los mismos. Nuestras contribuciones incluyen una arquitectura para esta técnica, un prototipo de prueba de concepto desarrollado bajo Android y los resultados de una evaluación de desempeño que estudia tiempos de ejecución y consumo de batería. A pesar de algunas limitaciones, nuestro enfoque demuestra ser una alternativa válida para mejorar la seguridad en cualquier smartphone

Security on Medical Wireless Sensor Networks

Wireless technology is fast becoming a very important tool for all aspects of communication. An area that lacks a strong implementation for wireless communication is the medical field. Wireless systems could be used by clinicians to be better able to diagnose and monitor patients. The reason behind the lack of adoption in healthcare is due to the need to meet the legislated and perceived requirements of security and privacy when dealing with clinical information. The current methods of wireless authentication are investigated and an existing issue in mobile networks is described and solved with two novel solutions; one solution within GSM and the other within UMTS. Strong authentication protocols are developed based on the existing wireless protocols, while using minimal messages and symmetric operations to limit resource utilization to meet the needs of the healthcare environment. To ensure the quality of the protocol a BAN (Burrows-Abadi-Needham logic) analysis is performed which verifies that the desired goals of the protocols are appropriately met within the results analysis. The developed security protocol is shown to be secure, uses minimal messages to maintain efficiency and meets the legal requirements to be used in medical wireless sensor networks

IPTV Service Framework Based on Secure Authentication and Lightweight Content Encryption for Screen-Migration in Cloud Computing

These days, the advancing of smart devices (e.g. smart phones, tablets, PC, etc.) capabilities and the increase of internet bandwidth enables IPTV service provider to extend their services to smart mobile devices. User can just receive their IPTV service using any smart devices by accessing the internet via wireless network from anywhere anytime in the world which is convenience for users. However, wireless network communication has well a known critical security threats and vulnerabilities to user smart devices and IPTV service such as user identity theft, reply attack, MIM attack, and so forth. A secure authentication for user devices and multimedia protection mechanism is necessary to protect both user devices and IPTV services. As result, we proposed framework of IPTV service based on secure authentication mechanism and lightweight content encryption method for screen-migration in Cloud computing. We used cryptographic nonce combined with user ID and password to authenticate user device in any mobile terminal they passes by. In addition we used Lightweight content encryption to protect and reduce the content decode overload at mobile terminals. Our proposed authentication mechanism reduces the computational processing by 30% comparing to other authentication mechanism and our lightweight content encryption reduces encryption delay to 0.259 second