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

User Acceptance of Multiple Password Systems: A Proposed Study

The traditional means of user authentication based on usernames and passwords is subject to a number of behavioral concerns that can significantly reduce the security provided. As such, an important part of proposing a new authentication scheme should involve careful consideration of behavioral factors. Little research has actually examined the role user acceptance plays in different authentication schemes. Our research in progress proposes the investigation of user acceptance of a cognitive password system comprised of multiple authenticators. Specifically we will investigate the role that password characteristics, such as number of passwords and password complexity, coupled with frequency of use, play in users’ perceptions and overall willingness to faithfully adopt an alternative authentication system

Identification and Authentication: Technology and Implementation Issues

Computer-based information systems in general, and Internet e-commerce and e-business systems in particular, employ many types of resources that need to be protected against access by unauthorized users. Three main components of access control are used in most information systems: identification, authentication, and authorization. In this paper we focus on authentication, which is the most problematic component. The three main approaches to user authentication are: knowledge-based, possession-based, and biometric-based. We review and compare the various authentication mechanisms of these approaches and the technology and implementation issues they involve. Our conclusion is that there is no silver bullet solution to user authentication problems. Authentication practices need improvement. Further research should lead to a better understanding of user behavior and the applied psychology aspects of computer security

The quest to replace passwords: A framework for comparative evaluation of web authentication schemes

Abstract—We evaluate two decades of proposals to replace text passwords for general-purpose user authentication on the web using a broad set of twenty-five usability, deployability and security benefits that an ideal scheme might provide. The scope of proposals we survey is also extensive, including password management software, federated login protocols, graphical password schemes, cognitive authentication schemes, one-time passwords, hardware tokens, phone-aided schemes and biometrics. Our comprehensive approach leads to key insights about the difficulty of replacing passwords. Not only does no known scheme come close to providing all desired benefits: none even retains the full set of benefits that legacy passwords already provide. In particular, there is a wide range from schemes offering minor security benefits beyond legacy passwords, to those offering significant security benefits in return for being more costly to deploy or more difficult to use. We conclude that many academic proposals have failed to gain traction because researchers rarely consider a sufficiently wide range of real-world constraints. Beyond our analysis of current schemes, our framework provides an evaluation methodology and benchmark for future web authentication proposals. Keywords-authentication; computer security; human computer interaction; security and usability; deployability; economics; software engineering. I

Prompted User Retrieval of Secret Entropy: The Passmaze Protocol

A prompting protocol permits users to securely retrieve secrets with greater entropy than passwords. The retrieved user secrets can have enough entropy to be used to derive cryptographic keys

Myphrase: Passwords from your Own Words

To improve manageability and strength of user-chosen passwords, we propose a multi-word password scheme called Myphrase. Contrary to the often-repeated but failed policy of banning common words as passwords, we encourage users to use words that are more personal to them—irrespective of the words being too common or esoteric. In Myphrase, a small dictionary is created from user-authored content such as sent emails and blogs. A master passphrase is constructed by randomly selecting words from the dictionary. We propose two variants as a trade-off between security and memorability; in random sequence, words are chosen uniformly across the dictionary, and in connected discourse, words are tagged using a part-of-speech engine and inserted appropriately into sentence templates. Words in the passphrase are expected to be easily recognizable to users and can be efficiently entered by leveraging the auto-suggest feature. Myphrase is designed to be compatible with both desktop and mobile platforms—a growing requirement for current authentication schemes. We create website-specific passwords from the master passphrase by salting the phrase with the site’s domain. To restrict offline attacks on the master passphrase from exposed site passwords, we require the passphrase to be of sufficient length (e.g., 6 words from a 1024-word dictionary, resulting in 60 bits of entropy in the random sequence variant). Entropy calculation for the connected discourse variant is less straightforward. We analyze Myphrase dictionaries and expected entropy of generated passphrases with two datasets: the Enron email corpus, and several popular books from Project Gutenberg. We also evaluate Myphrase using a recently proposed, slightly modified, framework of usability-deployability-security ratings, and seek feedback on our proof-of-concept prototypes available for both desktop and mobile platforms

Exploiting autobiographical memory for fallback authentication on smartphones

Smartphones have advanced from simple communication devices to multipurpose devices that capture almost every single moment in our daily lives and thus contain sensitive data like photos or contact information. In order to protect this data, users can choose from a variety of authentication schemes. However, what happens if one of these schemes fails, for example, when users are not able to provide the correct password within a limited number of attempts? So far, situations like this have been neglected by the usable security and privacy community that mainly focuses on primary authentication schemes. But fallback authentication is comparably important to enable users to regain access to their devices (and data) in case of lockouts. In theory, any scheme for primary authentication on smartphones could also be used as fallback solution. In practice, fallback authentication happens less frequently and imposes different requirements and challenges on its design. The aim of this work is to understand and address these challenges. We investigate the oc- currences of fallback authentication on smartphones in real life in order to grasp the charac- teristics that fallback authentication conveys. We also get deeper insights into the difficulties that users have to cope with during lockout situations. In combination with the knowledge from previous research, these insights are valuable to provide a detailed definition of fall- back authentication that has been missing so far. The definition covers usability and security characteristics and depicts the differences to primary authentication. Furthermore, we explore the potential of autobiographical memory, a part of the human memory that relates to personal experiences of the past, for the design of alternative fall- back schemes to overcome the well-known memorability issues of current solutions. We present the design and evaluation of two static approaches that are based on the memory of locations and special drawings. We also cover three dynamic approaches that relate to re- cent smartphone activities, icon arrangements and installed apps. This series of work allows us to analyze the suitability of different types of memories for fallback authentication. It also helps us to extend the definition of fallback authentication by identifying factors that influence the quality of fallback schemes. The main contributions of this thesis can be summarized as follows: First, it gives essen- tial insights into the relevance, frequency and problems of fallback authentication on smart- phones in real life. Second, it provides a clear definition of fallback authentication to classify authentication schemes based on usability and security properties. Third, it shows example implementations and evaluations of static and dynamic fallback schemes that are based on different autobiographical memories. Finally, it discusses the advantages and disadvantages of these memories and gives recommendations for their design, evaluation and analysis in the context of fallback authentication.Aus vormals einfachen Kommunikationsgeräten haben sich Smartphones inzwischen zu Multifunktionsgeräten weiterentwickelt, die fast jeden einzelnen Moment in unserem Alltag verfolgen und aufzeichnen. So ist es nicht verwunderlich, dass diese Geräte auch viele sen- sible Daten beinhalten, wie zum Beispiel Fotos oder Kontaktinformationen. Um diese Daten zu schützen, können Smartphone-Nutzer aus einer Vielzahl von Authentifizierungsverfahren auswählen. Doch was passiert, wenn eines dieser Verfahren versagt, zum Beispiel wenn Nutzer nicht in der Lage sind ihr korrektes Passwort innerhalb einer begrenzten Anzahl von Versuchen einzugeben? Derartige Fragen wurden bislang von der Usable Security und Privacy Gemeinschaft vernachlässigt, deren Augenmerk vielmehr auf dem Forschungsfeld der primären Authentifizierung gerichtet war. Jedoch ist das Gebiet der Fallback-Authentifizierung von vergleichbarer Bedeutung, um Nutzern die Möglichkeit zu bieten, wieder Zugang zu ihren Daten und Geräten zu erlangen, wenn sie sich aussperren. Im Prinzip kann jedes primäre Authentifizierungsverfahren auch für die Fallback-Authentifizierung eingesetzt werden. Da letzteres in der Praxis jedoch viel seltener passiert, bringt der Entwurf neuer Verfahren für die Fallback-Authentifizierung neue Anforderungen und Herausforderungen mit sich. Ziel dieser Arbeit ist es, diese Herausforderungen zu verstehen und herauszuarbeiten. Dazu haben wir untersucht, wie häufig sich Smartphone-Nutzer im Alltag aussperren, um darauf basierend die Hauptanforderungen für den Entwurf von Verfahren zur Fallback-Authentifizierung herzuleiten. Zudem konnten wir durch die Untersuchung ein tieferes Verständnis für die Probleme der Nutzer in solchen Situationen entwickeln. Zusammen mit den Erkenntnissen aus verwandten Arbeiten ermöglichten die Ergebnisse der Untersuchung eine detaillierte Definition für den Begriff der Fallback-Authentifizierung bereitzustellen und unter Berücksichtigung von Faktoren der Nutzerfreundlichkeit und Sicherheit deren Unterschiede zur primären Authentifizierung hervorzuheben. Zudem haben wir die Möglichkeiten des autobiographischen Gedächtnisses für den Entwurf alternativer Verfahren zu Fallback-Authentifizierung exploriert. Das autobiographische Gedächtnis ist ein Teil des menschlichen Gehirns und besteht aus persönlichen Erinnerungen der Vergangenheit. Durch den persönlichen Bezug erscheinen diese Erinnerungen vielversprechend, um die Probleme bekannter Verfahren zu überwinden. Im Rahmen dieser Arbeit stellen wir deshalb zwei statische und drei dynamische Verfahren zur Fallback-Authentifizierung vor, die sich auf autobiographischen Erinnerungen stützen. Während sich die statischen Verfahren auf ortsbezogene Erinnerungen und das Anfertigen spezieller Zeichnungen konzentrieren, basieren die dynamischen Verfahren auf Erinnerungen der nahen Vergangenheit (z. B. Aktivitäten auf dem Smartphone, Anordnung von Anwendungen oder de- ren Installation). Die vorgestellten Konzepte erlauben nicht nur das Potential verschiedener autobiographischer Erinnerungen zu analysieren, sondern ermöglichen es auch Faktoren zu identifizieren, die einen Einfluss auf die Qualität der vorgestellten Konzepte haben und somit nützlich sind, um die Definition der Fallback-Authentifizierung zu erweitern. Zusammenfassung Der wissenschaftliche Beitrag dieser Arbeit lässt sich wie folgt zusammenfassen: (1) Die Arbeit gibt einen wichtigen Einblick in die Relevanz, Häufigkeit und Probleme der Fallback-Authentifizierung im Alltag der Nutzer. (2) Sie stellt eine klare Definition für den Begriff der Fallback-Authentifizierung bereit, um Authentifizierungssysteme anhand verschiedener Eigenschaften wie Nutzerfreundlichkeit und Sicherheit zu klassifizieren. (3) Sie diskutiert die Vor- und Nachteile verschiedener autobiographischer Erinnerungen anhand von Beispielimplementierungen und gibt darauf basierend Empfehlungen zu deren Nutzung und Evaluierung im Kontext der Fallback-Authentifizierung