Biblio

As the world is moving towards industry 4.0, it is estimated that in the near future billions of IoT devices will be interconnected over the Internet. The open and heterogeneous nature of IoT environment makes it vulnerable to adversarial attacks. To maintain sustainability in IoT ecosystem, this paper evaluates some of the recent IoT schemes based on key security features i.e. authentication, confidentiality, trust etc. These schemes are classified according to three-layer IoT architecture. Based on our findings, some of these solutions are applicable at physical layer while others are at network, and application layers. However, none of these schemes can provide end-to-end solution for IoT environment. Therefore, our work provides a roadmap for future research directions in IoT domain to design robust security schemes for IoT environment, thus can achieve sustainability in IoT ecosystem.

The number of Mobile device users in the word has evolved rapidly. Many internet users currently want to connect the internet for all utilities automatically. One of the technologies in the IPv6 network, which supports data access from moving users, is IPv6 Mobile protocol. In its mobility, the users on a range of networks can move the range to another network. High demand for this technology will interest to a hacker or a cracker to carry out an attack. One of them is a DoS attack that compromises a target to denial its services. A firewall is usually used to protect networks from external attacks. However, since the firewall based on the attacker database, the unknown may not be detected. In order to address the obstacle, a detection tool could be used. In this research, IDS as an intrusion detection tool was integrated with a firewall to be implemented in IPv6 Mobile to stop the DoS attack. The results of some experiments showed that the integration system could block the attack at 0.9 s in Correspondent Node and 1.2 s in Home Agent. The blocked attack can decrease the network throughput up to 27.44% when a Mobile Node in Home Agent, 28,87% when the Mobile Node in a Foreign Network. The final result of the blocked attack is reducing the average CPU utilization up to 30.99%.