Defence against Black Hole and Selective Forwarding Attacks for Medical WSNs in the IoT

Abstract

Wireless sensor networks (WSNs) are being used to facilitate monitoring of patients in hospital and home environments. These systems consist of a variety of different components/sensors and many processes like clustering, routing, security, and self-organization. Routing is necessary for medical-based WSNs because it allows remote data delivery and it facilitates network scalability in large hospitals. However, routing entails several problems, mainly due to the open nature of wireless networks, and these need to be addressed. This paper looks at two of the problems that arise due to wireless routing between the nodes and access points of a medical WSN (for IoT use): black hole and selective forwarding (SF) attacks. A solution to the former can readily be provided through the use of cryptographic hashes, while the latter makes use of a neighbourhood watch and threshold-based analysis to detect and correct SF attacks. The scheme proposed here is capable of detecting a selective forwarding attack with over 96% accuracy and successfully identifying the malicious node with 83% accuracy.

Clustering and reliability-driven mitigation of routing attacks in massive IoT systems

“…Recent studies in the literature have highlighted the needs of sophisticated IDS to meet security requirements in IoT environments [3,[7][8][9][10]. In a nutshell, IDSs aim to identify attack behavior and locate an attacker within a system [3].…”

“…They do not present the execution time for OPCF. In [8], the authors built a solution for selective forwarding attack detection in a medical IoT Wireless Sensor Network (WSN), where sensors send data sample to an Access Point (AP). Thus, the AP can address data encryption and forward over the Internet for storing and processing them on servers.…”

“…For instance, the work [13] presents a solution to the big class of DDoS attacks, resulting in high false positive and false negative rates. Another example is the work [8], where a solution is presented specifically to a WSN medical IoT. In the majority of these works, we observe the lack of handling important requirements and features from the IoT networks, such as computational resource constraints, limited energy, specific routing protocol, node mobility and real-time operation for specific classes of applications.…”

A Trust Model for Security Against Black Hole Attack in Hierarchical Cluster Based Wireless Sensor Network

“…The corresponding node decreases the trust factor for its neighbor node if it is acting maliciously [2,4]. Mathur et al [8] have introduced similar approach by building a trust model against black hole. Few security solutions concern about mobile environment, network's scalability, its adaptability and node's energy [12,13,14].…”

Dynamic and adaptive detection method for flooding in wireless sensor networks

“…5 However, to avoid DoS attacks and maintain the good functioning of these networks, it is important to secure them by using effective solutions, such as those proposed in Refs. [6][7][8] .…”