scholarly journals Mobile Oriented Future Internet (MOFI): Architectural Designs and Experimentations

Electronics ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 682
Author(s):  
Seok-Joo Koh

With the explosive growth of smart phones and Internet-of-Things (IoT) services, the effective support of seamless mobility for a variety of mobile devices and users is becoming one of the key challenging issues [...]


Daedalus ◽  
2016 ◽  
Vol 145 (1) ◽  
pp. 54-64 ◽  
Author(s):  
Susan Landau

The Internet's original design provided a modicum of privacy for users; it was not always possible to determine where a device was or who was using it. But a combination of changes, including “free” Internet services, increasing use of mobile devices to access the network, and the coming “Internet of Things” (sensors everywhere) make surveillance much easier to achieve and privacy more difficult to protect. Yet there are also technologies that enable communications privacy, including address anonymizers and encryption. Use of such technologies complicate law-enforcement and national-security communications surveillance, but do not completely block it. Privacy versus surveillance in Internet communications can be viewed as a complex set of economic tradeoffs–for example, obtaining free services in exchange for a loss of privacy; and protecting communications in exchange for a more expensive, and thus less frequently used, set of government investigative techniques–and choices abound.



2018 ◽  
Vol 1 (2) ◽  
pp. 12
Author(s):  
Pedro Vitor de Sousa Guimarães ◽  
Sandro César Silveira Jucá ◽  
Renata Imaculada Soares Pereira ◽  
Ayrton Alexsander Monteiro Monteiro

This paper describes the use of a Linux embedded system for use in digital information and communication technology in order to generate image warnings using Internet of Things (IoT) prin- ciples. The proposed project generated a product, developed using concepts of project-based learning (ABP), called SECI (electronic internal communication system) that is accessed by students to view online warnings by distributed monitors and also by mobile devices connected to the Internet.



2017 ◽  
Vol 2 (2) ◽  
pp. 31-35
Author(s):  
Akshada Abnave ◽  
Charulata Banait ◽  
Mrunalini Chopade ◽  
Supriya Godalkar ◽  
Soudamini Pawar ◽  
...  

M-learning or mobile learning is defined as learning through mobile apps, social interactions and online educational hubs via Internet or network using personal mobile devices such as tablets and smart phones. However, in such open environment examination security is most challenging task as students can exchange mobile devices or also can exchange information through network during examination. This paper aims to design secure examination management system for m- learning and provide appropriate mechanism for anti- impersonation to ensure examination security. The users are authenticated through OTP. To prevent students from exchanging mobile devices during examination, system re-authenticates students automatically through face recognition at random time without interrupting the test. The system also provides external click management i.e. prevent students from accessing online sites and already downloaded files during examination.



Author(s):  
Sharmistha Nayak ◽  
Nurzaman Ahmed ◽  
Sudip Misra ◽  
Kim-Kwang Raymond Choo


2020 ◽  
Vol 32 (2) ◽  
pp. 193-207
Author(s):  
Sanja Milivojevic ◽  
Elizabeth Marie Radulski


2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Federica Paganelli ◽  
David Parlanti

Current trends towards the Future Internet are envisaging the conception of novel services endowed with context-aware and autonomic capabilities to improve end users’ quality of life. The Internet of Things paradigm is expected to contribute towards this ambitious vision by proposing models and mechanisms enabling the creation of networks of “smart things” on a large scale. It is widely recognized that efficient mechanisms for discovering available resources and capabilities are required to realize such vision. The contribution of this work consists in a novel discovery service for the Internet of Things. The proposed solution adopts a peer-to-peer approach for guaranteeing scalability, robustness, and easy maintenance of the overall system. While most existing peer-to-peer discovery services proposed for the IoT support solely exact match queries on a single attribute (i.e., the object identifier), our solution can handle multiattribute and range queries. We defined a layered approach by distinguishing three main aspects: multiattribute indexing, range query support, peer-to-peer routing. We chose to adopt an over-DHT indexing scheme to guarantee ease of design and implementation principles. We report on the implementation of a Proof of Concept in a dangerous goods monitoring scenario, and, finally, we discuss test results for structural properties and query performance evaluation.



Author(s):  
Jun Li ◽  
Yan Shvartzshnaider ◽  
John-Austen Francisco ◽  
Richard P. Martin ◽  
Kiran Nagaraja ◽  
...  


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