Biblio

With the development of Internet of Things, numerous IoT devices have been brought into our daily lives. Bluetooth Low Energy (BLE), due to the low energy consumption and generic service stack, has become one of the most popular wireless communication technologies for IoT. However, because of the short communication range and exclusive connection pattern, a BLE-equipped device can only be used by a single user near the device. To fully explore the benefits of BLE and make BLE-equipped devices truly accessible over the Internet as IoT devices, in this paper, we propose a cloud-based software framework that can enable multiple users to interact with various BLE IoT devices over the Internet. This framework includes an agent program, a suite of services hosting in cloud, and a set of RESTful APIs exposed to Internet users. Given the availability of this framework, the access to BLE devices can be extended from local to the Internet scale without any software or hardware changes to BLE devices, and more importantly, shared usage of remote BLE devices over the Internet is also made available.

Modern vehicles are equipped with wireless communication technologies, allowing them to communicate with each other. Through Dedicated Short Range Communication (DSRC), vehicles periodically broadcast beacons messages for safety applications, which gives rise to disclosure of location privacy. A way to protect vehicles location privacy is to have their pseudonyms changed frequently. With restrict to limited resources (such as computation and storage), we propose a group based dynamic mix zone scheme, in which vehicles form a group when their pseudonyms are close to expire. Simulation results confirm that the proposed scheme can protect location privacy and alleviate the storage burden.

Internet of Things (IoT) revolution in 5th Generation (5G) will dynamically support all user, devices and customer worldwide where these devices, mechanical and digital machines will be connected and are able to communicate and transfer data over the network. In industries, the evolution of these technologies, known as Industrial IoT (IIoT) will enable machines to be connected and communicate where else, Internet of Everything (IoE) makes the connection more relevant between all smart devices, machines and also people with a huge data, high speed and high security. The growth of these technologies has made Radio Frequency (RF) spectrum resources for wireless communication to be more saturated. In order to solve this problem, new wireless communication technologies are proposed to meet the demand and also to enhance the performance of the system and overcome the existing bandwidth limitations. Studies done shows that Light-Fidelity (Li-Fi), based on Visible Light Communications (VLC) is one of the most promising technology in future which is based on optical wireless communication. Initial study on the Li-Fi concept has focuses on achieving speed, bi-directional transmission concept and supports multiuser access. In this paper we propose a frame work focuses on the handover process for indoor environment by using the steerable Access Point (AP) and compare the output result with fix Access Point.

Vehicular ad hoc networks (VANETs) are taking more attention from both the academia and the automotive industry due to a rapid development of wireless communication technologies. And with this development, vehicles called connected cars are increasingly being equipped with more sensors, processors, storages, and communication devices as they start to provide both infotainment and safety services through V2X communication. Such increase of vehicles is also related to the rise of security attacks and potential security threats. In a vehicular environment, security is one of the most important issues and it must be addressed before VANETs can be widely deployed. Conventional VANETs have some unique characteristics such as high mobility, dynamic topology, and a short connection time. Since an attacker can launch any unexpected attacks, it is difficult to predict these attacks in advance. To handle this problem, we propose collaborative security attack detection mechanism in a software-defined vehicular networks that uses multi-class support vector machine (SVM) to detect various types of attacks dynamically. We compare our security mechanism to existing distributed approach and present simulation results. The results demonstrate that the proposed security mechanism can effectively identify the types of attacks and achieve a good performance regarding high precision, recall, and accuracy.