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

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

State of Alaska Election Security Project Phase 2 Report

A laska’s election system is among the most secure in the country, and it has a number of safeguards other states are now adopting. But the technology Alaska uses to record and count votes could be improved— and the state’s huge size, limited road system, and scattered communities also create special challenges for insuring the integrity of the vote. In this second phase of an ongoing study of Alaska’s election security, we recommend ways of strengthening the system—not only the technology but also the election procedures. The lieutenant governor and the Division of Elections asked the University of Alaska Anchorage to do this evaluation, which began in September 2007.Lieutenant Governor Sean Parnell. State of Alaska Division of Elections.List of Appendices / Glossary / Study Team / Acknowledgments / Introduction / Summary of Recommendations / Part 1 Defense in Depth / Part 2 Fortification of Systems / Part 3 Confidence in Outcomes / Conclusions / Proposed Statement of Work for Phase 3: Implementation / Reference

Secure Cloud Storage with Client-Side Encryption Using a Trusted Execution Environment

With the evolution of computer systems, the amount of sensitive data to be stored as well as the number of threats on these data grow up, making the data confidentiality increasingly important to computer users. Currently, with devices always connected to the Internet, the use of cloud data storage services has become practical and common, allowing quick access to such data wherever the user is. Such practicality brings with it a concern, precisely the confidentiality of the data which is delivered to third parties for storage. In the home environment, disk encryption tools have gained special attention from users, being used on personal computers and also having native options in some smartphone operating systems. The present work uses the data sealing, feature provided by the Intel Software Guard Extensions (Intel SGX) technology, for file encryption. A virtual file system is created in which applications can store their data, keeping the security guarantees provided by the Intel SGX technology, before send the data to a storage provider. This way, even if the storage provider is compromised, the data are safe. To validate the proposal, the Cryptomator software, which is a free client-side encryption tool for cloud files, was integrated with an Intel SGX application (enclave) for data sealing. The results demonstrate that the solution is feasible, in terms of performance and security, and can be expanded and refined for practical use and integration with cloud synchronization services