The Internet of Things (IoT) integrates a large number of physical objects that are uniquely identified, ubiquitously interconnected and accessible through the Internet. IoT aims to transform any object in the real-world into a computing device that has sensing, communication and control capabilities. There is a growing number of IoT devices and applications and this leads to an increase in the number and complexity of malicious attacks. It is important to protect IoT systems against malicious attacks, especially to prevent attackers from obtaining control over the devices. A large number of security research solutions for IoT have been proposed in the last years, but most of them are not standardized or interoperable. In this paper, we investigate the security capabilities of existing protocols and networking stacks for IoT. We focus on solutions specified by well-known standardization bodies such as IEEE and IETF, and industry alliances, such as NFC Forum, ZigBee Alliance, Thread Group and LoRa Alliance.

The past years have shown an increase in the both number and sophistication of cyber-attacks targeting Windows and Linux operating systems. Traditional network security solutions such as firewalls are incapable of detecting and stopping these attacks. In this paper, we describe our distributed firewall solution Distfw and its integration with a sandbox for malware analysis and detection. We demonstrate the effectiveness and shortcomings of such a solution. We use Cuckoo to perform automated analysis of malware samples and compare the results with the ones from manual analysis. We discover that Cuckoo provides similar results in a considerable amount of time.

During the last few years, scientists have become increasingly concerned about air quality. Particularly in large cities and industrialised areas, air quality is affected by pollution from natural and anthropogenic sources and this has a significant impact on human health. Continuous monitoring of air quality is an important step in investigating the causes and reducing pollution. In this paper, we propose a new autonomous multi-rotor aerial platform that can be used to perform real-time monitoring of air quality in large cities. The air quality monitoring system is able to cover large areas, with high spatial resolution, even above average buildings, while being relatively low cost. We evaluate the proposed system in several locations throughout a metropolitan city, during different seasons and generate fine-grained heat-maps that display the level of pollution of specific areas based on different altitudes.

In recent years, there has been a huge growth in the world of intelligent devices for home automation. Such gadgets are designed in order to ease the interaction between people and daily home duties. Although individually they are simple to work with, each appliance has its own configuration interface which adds overhead to the general user experience. This paper presents a solution for connecting more devices into a signal entity which can be easily accessed at any time. The implementation integrates the functionalities of different home automation devices into a single application.

Internet of Things is a growing technology, developing in multiple fields, from smart homes to health and industries. From a technological perspective, it enables the development of new protocols and scenarios, since the standard network protocol suite cannot face the growing number of connected devices and data transmitted. This paper aims to present several standardized protocols, at different networking levels, developed especially for embedded devices with low memory, low processing power and low data rate. We also propose a smart home scenario that uses only standardized IoT protocols.