Connected wellness program is a standard for healthcare provision that practice tools to deliver healthcare impeccably through various suppliers. It can deliver novel and exceptional prospects for patients to participate in health workforce to accomplish their precaution. Also, it influences the evolving tools to permit precaution inside/outside sickbay, over the capability for portable and wearable technologies that links to cloud-centered context aware healthcare devices. Defense is not just about shielding information it is essential for preserving the precautions, confidentiality, and reliance of patients. The defenselessness of wellbeing-care to computer-generated attack mirrors a blend of aspects, particularly imperfect resources, patchy control, and edifying performance. The projected system has enhanced information security by adopting a novel technique of cryptographic method of relayed information and buffered information. Precisely, the manuscript delivers a general assessment of security threats influencing the attainment of ICT implementation in well-being care and offers configuration investigation and flexibility study based on the theoretical simulations. In addition, existing information solidity algorithms are examined, because when using the tiny payloads associated to IoT systems, it does not pay off in terms of process utilization anomalies. Experimental and arithmetical study is being conducted to assess authentic challenges by developing a classified cloud infrastructure....
Mustafa Al-Fayoumi, Yasir Ahmad and Usman Tariq, “A Heterogeneous Framework to Detect Intruder Attacks in Wireless Sensor Networks” International Journal of Advanced Computer Science and Applications (IJACSA), 7(12), 2016. http://dx.doi.org/10.14569/IJACSA.2016.071207...
The less visible contents on web are difficult to search, so web users choose other alternatives for desired information. Thus a successful website should be accessible and visible on search engines. This research aims to evaluate sample Quranic website’s web accessibility level and visibility features like: traffic rank, inlinks, Page load time, search percentage and country visitors.
The websites can play an effective role in disseminating the Message of Quran. A more visible website on search engines can be accessed by big number of users and can be beneficial for the people at large scale, which helps to increase its linkage to other websites also A sample data set of 10 Quranic websites/portals are investigated for Web Visibility and Content Accessibility. It is found that the Quranexplorer.com has attained a best traffic ranking among sample dataset. Any website following the Web Content Accessibility Guidelines can disseminate its information to many users despite users having aging or any disability problem like difficulty in hearing or vision. The research revealed several accessibility issues in terms of number of problems in sample dataset and concludes with few recommendations for good quality websites/web portals....
CAPTCHAs are widely used by websites for security and privacy purposes. However, text or image-based CAPTCHAs are not suitable for individuals with visual impairments. Audio CAPTCHAs were introduced as an accessible alternative for those unable to use the more common visual CAPTCHAs, but anecdotal accounts have suggested that they may be more difficult to solve. We propose an audio CAPTCHA called SAUT CAPTCHA designed for visually impaired web users, which presents audio-based challenge in which the user has to recognize a word from specific voice type (male, female, child or old) and to read out specific word...........
CAPTCHA is an automated test that humans can pass, but current computer programs can't
pass: any program that has high success over a CAPTCHA can be used to solve an unsolved Articial
Intelligence (AI) problem. The most widely used CAPTCHAs rely on the sophisticated distortion of text
images rendering them unrecognizable to the state of the art of pattern recognition techniques, and these
text-based schemes have found widespread applications in commercial websites like free email service
providers, social networking sites and online auction sites. The increase in bots breaking CAPTCHAs
shows the ineffectiveness of the text-based CAPTCHAs that are used on most websites and Webmail
services today. Bots can easily read the distorted letters and words using optical character recognition
(OCR) or break the CAPTCHA using a dictionary attack. The weakness of each CAPTCHA scheme is
summarized and accordingly we make an approach to build our CAPTCHA scheme. Considering the case
study results and including other points which may pose difficulty for the OCR systems. In this paper we
proposed a new technique to build a CAPTCHA which is multi-modal (Picture and Text based). An
image is being rendered on the screen and many text labels drawn over it. A user has to identify the
correct name of the underlying image among the set of text labels that are scattered over it, in order to
pass a human verification test. We also proposed to use cursive text instead of plain text labels.
CAPTCHA stands for Completely Automated Public Turing Tests to Tell Computers and Humans Apart .A CAPTCHA is a program that protects websites against bots –automated scripts by generating and grading tests that humans can pass but current computer programs cannot. The aim is to allow the server to identify the visitor is a human or a computer, and only provide services to human. It can improve the current server system and user information security.The increase in bots breaking CAPTCHAs shows the ineffectiveness of the text-based CAPTCHAs that are used on most websites and Webmail services today. Bots can easily read the distorted letters and words using optical character recognition (OCR) or break the CAPTCHA using a dictionary attack. The weakness of each CAPTCHA scheme is summarized and accordingly we make an approach to build our CAPTCHA scheme. Considering the case study results and including other points which may pose difficulty for the OCR systems. In this paper we proposed a new technique to build a CAPTCHA which is hybrid (both Picture and Text based with multiple fonts). An image is being rendered on the screen and many text labels of multiple fonts drawn over it. A user has to identify the correct name of the underlying image among the set of text labels that are scattered over it, in order to pass a human verification test. We proposed to use multiple fonts for each letter of a single word inside a Captcha which increases the more complexity of training OCR...
Extracting knowledge from text documents has become one of the main hot topics in the field of Natural Language Processing (NLP) in the era of information explosion. Arabic NLP is considered immature due to several reasons including the low available resources. On the other hand, automatically extracting reliable knowledge from specialized data sources as holy books is considered ultimately a challenging task but of great benefit to all humans. In this context, this paper provides a comprehensive Quranic Dataset as a first part (foundation) of an ongoing research that attempts to lay grounds for approaches and applications to explore the holy Quran. The paper presents the algorithms and approaches that have been designed to extract an aggregative data from massive Arabic text sources including the holy Quran and tightly associated books. Holy Quran text is transferred into structured multi-dimensional data records starting from the chapter level, the word level and then the character level. All these are linked with interpretations and meanings, parsing, translations, intonation roots and stems of words, all from authentic and reliable sources. The final dataset is represented in excel sheets and database records format. Also, the paper presents models of the dataset at all levels. The Quranic dataset presented in this paper was designed to be appropriate for: database, data mining, text mining and Artificial Intelligence applications; it is also designed to serve as a comprehensive encyclopedia of holy Quran and the Quranic Science books....