Vehicular Ad hoc Networks (VANETs) are a growing area that continues to gain interest with an increasing diversity of applications available. These are the underlying network for Intelligent Transportation Systems (ITS), a set of applications and services that aim to provide greater security and comfort to drivers and passengers.However, the characteristics and size of a VANET make it a security challenge. It has been a subject of study, with several research works aimed at this problem, usually involving cryptography. There are, however, some attacks that cannot be solved using traditional methodologies. For example, Sybil attack, Denial of Service (DoS), Black Hole, etc. are not preventable using cryptographic tools. Nonetheless, using an Intrusion Detection System (IDS) can help detect malicious behavior, preventing further damage.This work presents a Systematic Literature Review (SLR) that aims to evaluate the feasibility of this type of solution.Additionally, it should provide information of the most common approaches, allowing the identification of the most used Machine Learning (ML) algorithms, architectures and datasets used.

The reliable and efficient operation of emergency healthcare (e-emergency) services poses quality demands to the systems and underlying communication infrastructures. In this context, most existing wireless body sensor networks fall short in meeting these demands as they only offer an unreliable service delivery. e-Emergency systems must provide quality of service (QoS) support so that a pervasive and trustable assistance is provided to patients under health risk. This paper discusses the need for QoS in wireless e-health and e-emergency services. To demonstrate this need, some current and relevant e-health projects with QoS requirements are presented. The study reveals the importance of providing QoS support in this emerging field of application and provides a summary characterizing the e-health proposals herein presented.

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Abstract. Due to its critical nature, emergency healthcare (e-emergency) systems should be totally reliable, efficient and support real-time traffic. Therefore eemergency networks must provide proper quality of service (QoS) levels. After assessing the relevance of QoS deployment in different e-health contexts, this paper presents a pragmatic case-study intended to be deployed in a hospital room containing patients with high risk abnormalities, whose vital signals are being monitored by personal wireless body sensor networks. After justifying the unsuitability of ZigBee standard in this e-emergency scenario, the use of Low-Power, Real-Time (LPRT) protocol for wireless sensor networks, is proposed as an adequate candidate for such task. For the present case-study, the protocol is able to fulfill quantitatively the required QoS levels.

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