Despite of their energy efficiency, most of WSN’s cluster-based routing protocols are vulnerable to security threats. Selective forwarding and black hole attacks are ranked among the most devastating attacks which they target this class of routing protocols. In this paper, a new centralized intrusion detection system is proposed to detect selective forwarding and black hole attacks in cluster-based wireless sensors networks. The main idea is the use of a centralized detection approach, where the base station decides on potential intrusions based on control packets sent from the cluster heads. The proposed intrusion detection technique is simple and energy efficient, it is thus suitable for sensor nodes with resource constrained. The simulation results confirm the expected performance of the proposed IDS in terms of security and energy efficiency.

Wireless sensor networks (WSN) have become one of the most attractive research areas in many scientific fields for the last years. WSN consists of several sensor nodes that collect data in inaccessible areas and send them to the base station (BS) or sink. At the same time sensor networks have some special characteristics compared to traditional networks, which make it hard to deal with such kind of networks. The architecture of protocol stack used by the base station and sensor nodes, integrates power and routing awareness (i.e., energy-aware routing), integrates data with networking protocols (i.e., data aggregation), communicates power efficiently through the wireless medium, and promotes cooperative efforts of sensor nodes (i.e., task management plane).

Introducing a cross-layer scheme to optimize energy consumption in multi hop wireless sensor networks (MhWSNs) is a relatively new approach. Moreover and contrarily to the existing cross-layer MhWSNs architectures, this paper deals with a new cross-layer design based on three-ware cross-layer architecture which exploits an inversed interaction between network, link and physical layers. We propose a cross-layer and hybrid energy efficiency protocol (named CL-HEEP) with transmission power adjustment to preserve the energy reserves in multi-hop MhWSNs. The main idea is the use of routing information to dynamically adjust the transceiver transmission power and to establish cross-layer duty-cycling. An additional wake-up radio is also implied by CL-HEEP to preserve the energy while avoiding compulsory wake-up, idle listening, interference, and collision problems. The simulation reveals that CL-HEEP is energy-efficient and able to achieve significant performance improvement compared to other cross-layer protocols.

Identification schemes based on multivariate polynomials have been receiving attraction in different areas due to the quantum secure property. Identification is one of the most important elements for the IoT to achieve communication between objects, gather and share information with each other. Thus, identification schemes which are post-quantum secure are significant for Internet-of-Things (IoT) devices. Various polar forms of multivariate quadratic and cubic polynomial systems have been proposed for these identification schemes. There is a need to define polar form for multivariate dth degree polynomials, where $d\ge 4$ . In this paper, we propose a solution to this need by defining constructions for multivariate polynomials of degree $d\ge 4$ . We give a generic framework to construct the identification scheme for IoT and RFID applications. In addition, we compare identification schemes and curve-based cryptoGPS which is currently used in RFID applications.