Secured Cloud-Based Internet Of Things Application Reporting System: A Review

Cloud-based Internet of Things environments exhibit different architectures based on the services they provide, thus making it even harder to find ‘global’ security measures. Many of the security issues in relations to Cloud Computing architecture, governance, portability and interoperability, have been addressed in other systems. The specific characteristics of Internet of Things application in Cloud environments result into new security concerns. Various security models have been proposed to deal with security threats ranging from authentication, access control, lightweight security, data privacy and so on. However, users are not aware of the degree of security integrated with the CloudInternet of Things application system thereby limiting the perceived trustworthiness of such systems. Therefore, the need to provide aCloud-based Internet of Things application reporting system that can predict and monitor the effectiveness of such applications cannot be overemphasized. In this paper, reviews of existing Cloud-based Internet of Things security approaches are presented. This paper is concluded by highlighting the future research direction with respect to improving the acceptability of secured Cloud-based Internet of Things deployment

Improved Real time Signboard Detection and Translation Using FRCNN

In India, majority of people are speaking the language Hindi, but a major portion of signboards are in English. On a business or pleasure trip, the travelers get confused by the various sign boards written in English. As smartphones becomes most popular inrecent years,they canrely on smartphone for the same. This paper explains the work intended to build a mobile application that can recognize the English content and sign present on the signboard image, detect and translate the content and symbols from English to Hindi and display the translated Hindi text back to the screen of the phone. The system uses pre-trained faster regional convolutional neural networkusing pre-trained CNN for object detection, tesseract OCR for text extraction and English-to-Hindi dictionary for translation.

SOA Architecture for Games Digital Distribution

This study aims to implement SOA in the field of digital distribution games, besides that theapplication of SOA in digital distribution games also has several benefits including helping the users of this game with the effectiveness of time used, besides using SOA on digital distribution games also increases connectivity with providers services ingame service providers are more dynamic. In addition, using SOA in digital distribution games can also speed up standardization servers and application applications and provide bridges (data-bridges) between incompatible technologies