5,705 research outputs found
S-Mbank: Secure Mobile Banking Authentication Scheme Using Signcryption, Pair Based Text Authentication, and Contactless Smartcard
Nowadays, mobile banking becomes a popular tool which consumers can conduct
financial transactions such as shopping, monitoring accounts balance,
transferring funds and other payments. Consumers dependency on mobile needs,
make people take a little bit more interest in mobile banking. The use of the
one-time password which is sent to the user mobile phone by short message
service (SMS) is a vulnerability which we want to solve with proposing a new
scheme called S-Mbank. We replace the authentication using the one-time
password with the contactless smart card to prevent attackers to use the
unencrypted message which is sent to the user's mobile phone. Moreover, it
deals vulnerability of spoofer to send an SMS pretending as a bank's server.
The contactless smart card is proposed because of its flexibility and security
which easier to bring in our wallet than the common passcode generators. The
replacement of SMS-based authentication with contactless smart card removes the
vulnerability of unauthorized users to act as a legitimate user to exploit the
mobile banking user's account. Besides that, we use public-private key pair and
PIN to provide two factors authentication and mutual authentication. We use
signcryption scheme to provide the efficiency of the computation. Pair based
text authentication is also proposed for the login process as a solution to
shoulder-surfing attack. We use Scyther tool to analyze the security of
authentication protocol in S-Mbank scheme. From the proposed scheme, we are
able to provide more security protection for mobile banking service.Comment: 6 page
Conceivable security risks and authentication techniques for smart devices
With the rapidly escalating use of smart devices and fraudulent transaction of users’ data from their devices, efficient and reliable techniques for authentication of the smart devices have become an obligatory issue. This paper reviews the security risks for mobile devices and studies several authentication techniques available for smart devices. The results from field studies enable a comparative evaluation of user-preferred authentication mechanisms and their opinions about reliability, biometric authentication and visual authentication techniques
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
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
CALIPER: Continuous Authentication Layered with Integrated PKI Encoding Recognition
Architectures relying on continuous authentication require a secure way to
challenge the user's identity without trusting that the Continuous
Authentication Subsystem (CAS) has not been compromised, i.e., that the
response to the layer which manages service/application access is not fake. In
this paper, we introduce the CALIPER protocol, in which a separate Continuous
Access Verification Entity (CAVE) directly challenges the user's identity in a
continuous authentication regime. Instead of simply returning authentication
probabilities or confidence scores, CALIPER's CAS uses live hard and soft
biometric samples from the user to extract a cryptographic private key embedded
in a challenge posed by the CAVE. The CAS then uses this key to sign a response
to the CAVE. CALIPER supports multiple modalities, key lengths, and security
levels and can be applied in two scenarios: One where the CAS must authenticate
its user to a CAVE running on a remote server (device-server) for access to
remote application data, and another where the CAS must authenticate its user
to a locally running trusted computing module (TCM) for access to local
application data (device-TCM). We further demonstrate that CALIPER can leverage
device hardware resources to enable privacy and security even when the device's
kernel is compromised, and we show how this authentication protocol can even be
expanded to obfuscate direct kernel object manipulation (DKOM) malwares.Comment: Accepted to CVPR 2016 Biometrics Worksho
Touchalytics: On the Applicability of Touchscreen Input as a Behavioral Biometric for Continuous Authentication
We investigate whether a classifier can continuously authenticate users based
on the way they interact with the touchscreen of a smart phone. We propose a
set of 30 behavioral touch features that can be extracted from raw touchscreen
logs and demonstrate that different users populate distinct subspaces of this
feature space. In a systematic experiment designed to test how this behavioral
pattern exhibits consistency over time, we collected touch data from users
interacting with a smart phone using basic navigation maneuvers, i.e., up-down
and left-right scrolling. We propose a classification framework that learns the
touch behavior of a user during an enrollment phase and is able to accept or
reject the current user by monitoring interaction with the touch screen. The
classifier achieves a median equal error rate of 0% for intra-session
authentication, 2%-3% for inter-session authentication and below 4% when the
authentication test was carried out one week after the enrollment phase. While
our experimental findings disqualify this method as a standalone authentication
mechanism for long-term authentication, it could be implemented as a means to
extend screen-lock time or as a part of a multi-modal biometric authentication
system.Comment: to appear at IEEE Transactions on Information Forensics & Security;
Download data from http://www.mariofrank.net/touchalytics
Citizen Electronic Identities using TPM 2.0
Electronic Identification (eID) is becoming commonplace in several European
countries. eID is typically used to authenticate to government e-services, but
is also used for other services, such as public transit, e-banking, and
physical security access control. Typical eID tokens take the form of physical
smart cards, but successes in merging eID into phone operator SIM cards show
that eID tokens integrated into a personal device can offer better usability
compared to standalone tokens. At the same time, trusted hardware that enables
secure storage and isolated processing of sensitive data have become
commonplace both on PC platforms as well as mobile devices.
Some time ago, the Trusted Computing Group (TCG) released the version 2.0 of
the Trusted Platform Module (TPM) specification. We propose an eID architecture
based on the new, rich authorization model introduced in the TCGs TPM 2.0. The
goal of the design is to improve the overall security and usability compared to
traditional smart card-based solutions. We also provide, to the best our
knowledge, the first accessible description of the TPM 2.0 authorization model.Comment: This work is based on an earlier work: Citizen Electronic Identities
using TPM 2.0, to appear in the Proceedings of the 4th international workshop
on Trustworthy embedded devices, TrustED'14, November 3, 2014, Scottsdale,
Arizona, USA, http://dx.doi.org/10.1145/2666141.266614
Multi-factor Authentication and Their Approaches
A multi-factor authentication is an approach to authentication which requires the presentation of two or more of the three authentication factors: a knowledge factor ("something the user knows"), a possession factor ("something the user has"), and an inherence factor ("something the user is"). Two-factor authentication seeks to decrease the probability that the requestor is presenting false evidence of its identity. In reality, there are more variables to consider when establishing the relative assurance of truthfulness in an identity assertion than simply how many "factors" are used. The U.S. Federal Financial Institutions Examination Council issued supplemental guidance on this subject in August 2006, in which they clarified, "By definition true multifactor authentication requires the use of solutions from two or more of the three categories of factors
Tiqr: a novel take on two-factor authentication
Authentication is of paramount importance for all modern networked applications. The username/password paradigm is ubiquitous. This paradigm suffices for many applications that require a relatively low level of assurance about the identity of the end user, but it quickly breaks down when a stronger assertion of the user’s identity is required. Traditionally, this is where two- or multi-factor authentication comes in, providing a higher level of assurance. There is a multitude of two-factor authentication solutions available, but we feel that many solutions do not meet the needs of our community. They are invariably expensive, difficult to roll out in heterogeneous user groups (like student populations), often closed source and closed technology and have usability problems that make them hard to use. In this paper we will give an overview of the two-factor au- thentication landscape and address the issues of closed versus open solutions. We will introduce a novel open standards-based authentication technology that we have developed and released in open source. We will then provide a classification of two-factor authentication technologies, and we will finish with an overview of future work
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