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

The Court, FCC and Internet Policy: Partly with

The paper aims to explore the contour of internet regulation with a thread of Brand X , which navigates through constitutionalism, separation of powers, as well as business and economic or political implications enshrined behind it. An exemplary insight with the Korean case was adverted that could lead to the comparative perspective of internet law and regulation for the future research. The research was conducted by employing qualitative investigation, mainly relying on textual analysis and documentary examination. The outcome of research generally corroborates with our assumption that i) the increasing administrative state will variegate the traditional interplay of three branches, ii) expert bureaucracy stands at the core of policy shaping because of the necessary new concept of market and policy specialization, iii) the role of US government is not only pioneering, but also influential as a regulator, but comparatively with differing national jurisdictions if not a negligible implications on the international competition or even conflict

TechNews digests: Jan - Mar 2010

TechNews is a technology, news and analysis service aimed at anyone in the education sector keen to stay informed about technology developments, trends and issues. TechNews focuses on emerging technologies and other technology news. TechNews service : digests september 2004 till May 2010 Analysis pieces and News combined publish every 2 to 3 month

Electronic Identity in Europe: Legal challenges and future perspectives (e-ID 2020)

This deliverable presents the work developed by the IPTS eID Team in 2012 on the large-encompassing topic of electronic identity. It is structured in four different parts: 1) eID: Relevance, Le-gal State-of-the-Art and Future Perspectives; 2) Digital Natives and the Analysis of the Emerging Be-havioral Trends Regarding Privacy, Identity and Their Legal Implications; 3) The "prospective" use of social networking services for government eID in Europe; and 4) Facial Recognition, Privacy and Iden-tity in Online Social Networks.JRC.J.3-Information Societ

A Survey of Machine Learning Techniques for Behavioral-Based Biometric User Authentication

Authentication is a way to enable an individual to be uniquely identified usually based on passwords and personal identification number (PIN). The main problems of such authentication techniques are the unwillingness of the users to remember long and challenging combinations of numbers, letters, and symbols that can be lost, forged, stolen, or forgotten. In this paper, we investigate the current advances in the use of behavioral-based biometrics for user authentication. The application of behavioral-based biometric authentication basically contains three major modules, namely, data capture, feature extraction, and classifier. This application is focusing on extracting the behavioral features related to the user and using these features for authentication measure. The objective is to determine the classifier techniques that mostly are used for data analysis during authentication process. From the comparison, we anticipate to discover the gap for improving the performance of behavioral-based biometric authentication. Additionally, we highlight the set of classifier techniques that are best performing for behavioral-based biometric authentication

Weathering the Nest: Privacy Implications of Home Monitoring for the Aging American Population

The research in this paper will seek to ascertain the extent of personal data entry and collection required to enjoy at least the minimal promised benefits of distributed intelligence and monitoring in the home. Particular attention will be given to the abilities and sensitivities of the population most likely to need these devices, notably the elderly and disabled. The paper will then evaluate whether existing legal limitations on the collection, maintenance, and use of such data are applicable to devices currently in use in the home environment and whether such regulations effectively protect privacy. Finally, given appropriate policy parameters, the paper will offer proposals to effectuate reasonable and practical privacy-protective solutions for developers and consumers

EU Privacy seals project: Inventory and analysis of privacy certification schemes

The objective of this report is to comprehensively inventory and analyse privacy and related certification schemes in the European Union and, where relevant, at the international level. The report will provide insights into the importance of privacy seal schemes and present information on the operational aspects of these schemes. The report will also help understand the privacy and data protection elements of the analysed schemes and provide and initial analysis of their shortcomings. The report specifically aims to understand whether (if at all) the analysed schemes address the requirements proposed under the GDPR. It will highlight the main convergences and differences between the schemes, who benefits from such schemes and what the impact of such schemes is.JRC.G.7-Digital Citizen Securit

Review of an Enhanced Authentication Strategy for Multiservice Authorization over Mobile Cloud

Cloud computing has changed the corporate as well as educational industry since it was introduced. The cloud computing is basically cost effective, convenient and on demand service offered to the end users. For instance it lead to cost reserve funds as well as better resource usage and removing the need of specialized technical skill for the users. There exists a huge security concern when utilizing cloud services. The security is extremely vital in cloud computing since individuals and organizations store private information in the cloud and it should likewise be not difficult to utilize the services provided to users. Since the control of services and information required for the regular run of a organization is handled by third party service providers, End user needs to believe the third party cloud service providers and trust that they handle their information in a right way and resources are available as and when needed. There are many approaches proposed for authentication in cloud services. They are intricate, insecure or highly exclusive. In this Paper we have carried of the comparative study of different authentication schemes in cloud computing finally summarize on the basis of different evaluation criteria