با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
ردیف | عنوان | نوع |
---|---|---|
1 |
Human Neuro-Activity for Securing Body Area Networks: Application of Brain-Computer Interfaces to People-Centric Internet of Things
فعالیت های عصبی انسانی برای حفاظت ازمنطقه شبکه های بدن : کاربرد از اینترفیس های مغز-کامپیوتر از افراد مبتنی بر اینترنت اشیاء -2017 A former definition states that a brain-com
puter Interface provides a direct communication
channel to the brain without the need for mus
cles and nerves. With the emergence of wearable
and wireless brain-computer interfaces, these
systems have evolved to become part of wire
less body area networks, offering people-centric
applications such as cognitive workload assess
ment and detection of selective attention. Cur
rently, wireless body area networks are mostly
integrated by low-cost devices that, because of
their limited hardware resources, cannot gener
ate secure random numbers for encryption. This
is a critical issue in the context of new Internet
of Things device communication and its secu
rity. Such devices require securing their com
munication, mostly by means of the automatic
renewal of the cryptographic keys. In the domain
of the people-centric Internet of Things, we pro
pose to use wireless brain-computer interfaces
as a secure source of entropy, based on neu
ro-activity, capable to generate secure keys that
outperforms other generation methods. In our
approach, current wireless brain-computer inter
face technology is an attractive option to offer
novel services emerged from novel necessities
in the context of the people-centric Internet of
Things. Our proposal is an implementation of the
human-in-the-loop paradigm, in which devices
and humans indistinctly request and offer ser
vices to each other for mutual benefit.
|
مقاله انگلیسی |
2 |
An evaluation of the Game Changer Password System_ A new approach to password security
ارزیابی سیستم تغییر دهنده ی رمز بازی ، یک رویکرد جدید برای امنیت رمز عبور-2017 We propose – and experimentally test – a mnemonic variant of password security that uses game positions as passwords. In Experiment 1, we report accuracy and reaction time data when high school student, younger adult, and older adult participants remembered and entered one game-based password, using chess or Monopoly. In Experiment 2, we report accuracy and reaction time data from participants use of five game- based passwords across 24 sessions over 10 weeks. All five passwords were stored in chess or Monopoly for the initial 20 sessions, and changed (from chess to Monopoly or vice versa) for the remaining sessions. This new approach to password security is both mathematically robust and user-friendly. Keywords:Password security | Memory | Interference | Cognitive |
مقاله انگلیسی |
3 |
Becoming a network beyond boundaries: Brain-Machine Interfaces (BMIs) as the actor-networks after the internet of things
تبدیل شدن به یک شبکه فراتر از مرزها: اینترفیس مغز و دستگاه (BMI) به عنوان بازیگر شبکه پس از اینترنت اشیاء-2016 For the last few decades, actor-network theory has been usually criticized for its focus on Machiavellian
human actors controlling the overall networking between other actors or blamed for its dissipation of
human agencies within the global status of a network. However, at the moment of its development, the
freshness of actor-network theory was more relevant to its focus on the meaning of what the hyphen
signifies; not so much just a simple connection between two independent variables, but an ontological
event itself, from which certain entities juxtaposed together become involved by exchanging stable in
fluences each other thus settled down as the actors participating in a network being associated as the
summing up of these settled influences. The aim of this paper is to refresh this bygone freshness of ANT
from the recent development of the Internet of Things (IoT); which vividly exemplifies how a network
and its actors are generated from a manifold technologically augmented entitiesdsuch as smart appli
ances in a house, migratory animals with RFID tags, and ensembles of neurons signaling beyond ones
brain through a bundle of microwiresdeach of which is physiologically or algorithmically adaptable to
the environmental signals from other entities thus able to be settled down together into “new sensor/
processor/actuator affiliations.” Brain-Machine Interface (BMI), developed by Nicolelis Lab at Duke
University as a prototype of the future neuroprosthetics, shows a specific example of these networks of
things; in which mutual adaptations of the technologically augmented entitiesdnamely neurons and
robot limbsdassociate artificial sensory-motor circuits, programming its human/animal users possible
motor behaviors as well as their motor intentions.
Keywords: Brain-Machine Interface | Actor-network | Neuroprosthetics | Internet of things | Nicolelis |
مقاله انگلیسی |