No abstract

RPL (Routing Protocol for Low-power and lossy networks) is a specific routing protocol designed to optimize 6LoWPAN (IPv6 over Low power Wireless Personal Area Network) operation. As 6LoWPAN suffers from resource constraints on battery, processor, memory and bandwidth, it affects the performance of the RPL protocol. From security point of view, this will make RPL vulnerable to several threats directly or indirectly. Thus, cryptographic systems are not sufficient to protect the RPL from internal attacks; a compromised node from the network may cause undesired operation without being detected by these systems. An intrusion detection system (IDS) should be used, but it is not easy given the nature of 6LoWPAN; on a side its resource constraints, and on the other side its opening to the outside world through the Internet.In this paper we focus on denial of service (DoS) attacks, we determine the elements to be taken into account in selecting a compatible IDS and we give some solutions that we consider effective and valid for 6LoWPAN-RPL based networks.

The Internet of Things (IoT) is a flagship project that aims to connect objects to the Internet to extend their use. For that, it was needed to find a solution to combine between the IEEE 802.15.4 protocol for Low Power Wireless Personal Area Networks (LoWPANs) and IPv6 network protocol that its large address space will allow million devices to integrate the internet. The development of 6LoWPAN technology was an appropriate solution to deal with this challenge and enable the IoT concept becoming a reality. But this was only the beginning of several challenges and problems like the case of how to secure this new type of networks, especially since it includes two major protocols so the combination of their problems too, over and above new problems specific to that network. In this paper, we analyze the security challenges in 6LoWPAN, we studied the various countermeasures to address these needs, their advantages and disadvantages, and we offer some recommendations to achieve a reliable security scheme for a powerful 6LoWPAN networks.Index Terms-Internet of Things, IEEE802.15.4, 6LoWPAN, Internet Security.

Abstract-learning analytics is an emerging discipline focused on the measurement, collection, analysis and reporting of learner interaction data through the E-learning contents. Serious game provides a potential source for relevant educational user data; it can propose an interactive environment for training and offer an effective learning process. This paper presents methods and approaches of educational data mining such as EM and K-Means to discuss the learning analytics through serious games, and then we provide an analysis of the player experience data collected from the educational game "ELISA" used to teach students of biology the immunological technique for determination of ANTI-HIV antibodies. Finally, we propose critically evaluation of our results including the limitations of our study and making suggestions for future research that links learning analytics and serious gaming.

No abstract