Pattern transformation-invariant schemes for wireless sensor networks based on an edge detection gradient-based mechanism

Message authentication is the most effective way to protect the data from unauthorized access and corrupted messages being forwarded in wireless sensor networks (WSNs). For this reason, many message authentication schemes have been developed, based on either symmetric-key cryptosystems or public-key cryptosystems. Some have the limitations of high computational and communication overhead and lack of scalability to node compromise attacks. To address these issues, a polynomial-based scheme was recently introduced. However, this scheme and its extensions all have the weakness of a built-in threshold determined by the degree of the polynomial when the number of messages transmitted is larger than this threshold, the adversary can fully recover the polynomial. While enabling intermediate nodes authentication, the proposed scheme allows any node to transmit an unlimited number of messages without suffering the threshold problem. In addition VGuard Security framework is used provide source privacy in the network. Both theoretical analysis and simulation results demonstrate that our proposed scheme is more efficient than the polynomial-based approach in terms of computational and communication overhead for various comparable security levels while providing message source privacy.KeywordsWSN (Wireless Sensor Networks)Source securityMessage authenticationSymmetric-key cryptography

Rare events detection is one of the main applications in Wireless Sensor Networks (WSN) and is currently a central concern of a vast literature. Compressed Sensing (CS) theory has been proved to be quite adapted to this objective. Although this is not the first work on applying CS to sparse events detection in WSN, it is the first to highly justify the validity of the targets detection and counting problem formulation. In order to enhance the CS recovery capacity in WSN, this work considers an approach based on a coherence reduction of the sensing matrix premised on the transmitted power control (PC). Simulation results prove that, under the constraint of equal power consumption, the detection and counting performance is improved when the proposed power control scheme is employed compared to the case without PC.

The Randomly deployed wireless sensor nodes form an unpredictable structure. Normally wireless sensor networks are distinguished from conventional networks by their energy constraints and limited computational power. Huge volumes of data are sensed and generated by the sensor nodes when they are deployed in the dynamic environment. Mostly the source and sink nodes are not within each other's transmission range. Congestion occurs when the intermediate nodes forward the data from source to sink. Many of the existing approaches focus on controlling the link level congestions in the network. Our proposed Queue reloading scheme controls the node level congestion. In order to avoid the retransmission of packets, the proposed scheme uses an alternative queue for caching the overflowed packets. The dropped packets are reloaded from the alternative queue when the current queue becomes available. The lifetime of the nodes depend on allocation rate. Our scheme saves the network resources; consuming less energy and aids achievement of improved efficiency and throughput. The node level congestion control is basically needed for WSNs, because the node can be deployed anywhere in the environment.

A scheme for WSNs (wireless sensor networks) security is given by dividing sensing tetrahedron into clusters and using the symmetric polynomials in this paper.The sensing tetrahedron is divided into a number of small grids.All those sensor nodes, both ordinary sensor nodes and heterogeneous sensor nodes are distributed in the sensing tetrahedron.In a grid, all ordinary sensor nodes and heterogeneous sensor nodes establish their shared keys through using the symmetric polynomials.All the heterogeneous sensor nodes establish their shared keys through using the symmetric polynomials.At last, all sensor nodes establish their keys directly or indirectly in the whole sensing tetrahedron.Analysis and comparison demonstrate this scheme enhances the WSN security, has good network connectivity, saves node storage, reduces network computing load, and extends the network lifetime.

Secured lightweight authentication for 6LoWPANs in machine-to-machine communications

The establishment of shared keys between communicating neighbor nodes in wireless sensor networks is a challenge due to resource-constrained sensor networks. Several key pre-distribution schemes have been proposed in literatures to establish pairwise keys between sensor nodes. However, many of them are either too complicated to fit for wireless sensor networks or insecure for some common aggressions. In this paper, we propose a random key management scheme based on random key pre-distribution for wireless sensor networks. To achieve better performance and security, the proposed scheme employs two different phases to establish enhanced pairwise keys between neighboring nodes. Compared with other existing random key pre-distribution schemes, our scheme has better resilience against node capture and also performs better in terms of network connectivity and scalability with appropriate memory, computation and communication overheads.

Due to the possibility of extensive and pervasive deployment of many tiny sensor devices in the area of interest, Wireless Sensor Networks (WSNs) result particularly suitable to detect significant events and to react accordingly in industrial and home scenarios. In this context, fuzzy inference systems for event detection in WSNs have proved to be accurate enough in treating imprecise sensory readings to decrease the number of false alarms. Besides reacting to event occurrences, the whole network may infer more information to enrich the event semantics resulting from reasoning processes carried out on the individual nodes. Contextual knowledge, including spatial and temporal relationships, as well as neighborhood confidence levels, can be used to improve the detection accuracy, but requires to extend the number of variables involved in the reasoning process.

Recently Wireless sensor networks (WSNs) plays important role in monitoring physical environments. In mission critical applications like surveillance existence of coverage holes makes communication among sensor nodes impossible. Coverage hole may be defined as the failure of sensor nodes. There are various graph based hole detection approaches and algorithms proposed to detect the coverage hole and to heal the coverage hole. Energy efficiency and communication overhead are the important parameters in detecting the holes and successful delivery of data packets without delay. Most of the existing algorithms have disadvantages depending upon their computational model. This survey compares the various approaches and identifies their shortcomings based on computational model and communication overhead. A new model is also proposed for coverage hole detection.

Air pollution, climate change, and chemical exposure constitute the world's most significant environmental health concern, resulting in the early deaths of 6. 5 million people annually. Reducing child mortality from preventable causes, primarily pneumonia and other respiratory illnesses, would have contributed to the united nation's sustainable development goals (SDG). Some significant goals are sustainable cities, industry innovation, green and resilient infrastructure, good health, and well-being. Non-ventilator hospital-acquired pneumonia (NV-HAP) is a severe but preventable cause of morbidity and mortality in hospitalized patients. Despite being the most frequent and fatal hospital-acquired infection (HAI), NV-HAP is not tracked, documented, or avoided in most hospitals. The success of NV-HAP prevention and monitoring initiatives relies on reliable, up-to-date surveillance data. Surveillance offers the information needed to target, analyze, and quantify the efficacy of preventative activities by identifying patients at the highest risk for NV-HAP. However, pneumonia monitoring is complex due to the clinical criteria's subjective, imprecise, inconsistently recorded, and labor-intensive nature. Non-ventilator hospital-acquired pneumonia must be monitored and standardized, which demands cutting-edge technologies and the deployment of advanced sensors. In the framework of this research, initially, a wireless body area networks (WBANs) architecture has built by making use of wearable biosensors, and then real-time sensor data were uploaded to a cloud platform. Researchers have devised a wireless sensor network (WSN) to track volatile organic compounds (VOC) and other atmospheric characteristics in real time to curb the spread of NV-HAP. The ESP32 Internet of Things (IoT) and Raspberry Pi 4B graphical processing unit platforms host the finalized WBAN and WSN network. To reduce the mortality rate of NV-HAP, this research aims to investigate clinics' and hospitals' indoor and outdoor air quality. The developed biosensor-assisted IoT enabled framework is used in hospitals to keep tabs on the conditions of individual patient rooms, treatment areas, and critical care units in real time. The research found the suggested technique achieves better results than existing state-of-the-art methods regarding computing cost, communication overhead, storage cost, and energy utilization.

Background: Internet of Things (IoT) is the next emerging technique in which each and every thing in the world is getting connected to the internet by means of various communication techniques. By using the technique of multicasting, these things communicate with each other to transfer the data. So there is a need of an authentication scheme in order to prevent the data form getting corrupted while transmitting. As we know trillions of devices are connected in IoT, a secure communication should be implemented for the same. So a light weight authentication should be provided for IoT. Methods: The IoT consist of many objects, the objects may me mobile phones, refrigerator, air cooler etc. along with sensors, actuators, base station. The objects are mainly connected with sensors in order to retrieve data from each of them. Since sensor network is adhoc networks and the computational power consumed of sensor networks are also very low. Hence in the Wireless Sensor Network (WSN) many sensors are connected with one or more base station. The base station in wireless sensor network manages all the sensor nodes with the help of processor and memory. Since we are transforming from wireless sensor networks to IoT, the objects are connected to internet by providing address to individual object. So, the base station not having the capable to provide a secure communication between the objects along with sensors and internet.In this paper, we propose a new authentication scheme by means of two different approaches. Since IoT contains many numbers of objects, we connect certain objects which are in same area and provide a database for that object. The data related to particular node is stored and updated frequently in the database and maintained by Data Base Management System (DBMS) and it is connected to internet. Results: Whenever a user wants to access the data, the authentication is provided by means of login id with hashing password or with the help of MAC passwords. These two authentication scheme provide better when compared to existing method which are shown in results. The metrics that measures the performance of the proposed approach are the resistance against node compromise,computation overhead,communication overhead, robustness to packet loss and message entropy. Applications: This main application of mutual authentication scheme for IoT is to provide a authentication between the end user and the sensor network data. This method is also suitable for smart house application where the user can securely access the data from anywhere in the world.

Recently, wireless sensor networks (WSNs) have been widely used in a variety of fields, and make people’s lives more convenient and efficient. However, WSNs are usually deployed in a harsh and insecure environment. Furthermore, sensors with limited hardware resources have a low capacity for data processing and communication. For these reasons, research on efficient and secure real-time authentication and key agreement protocols based on the characteristics of WSNs has gradually attracted the attention of academics. Although many schemes have been proposed, most of them cannot achieve all known security features with satisfactory performance, among which anonymity, N-Factor security, and forward secrecy are the most vulnerable. In order to solve these shortcomings, we propose a new lightweight and anonymous three-factor authentication scheme based on symmetric cryptographic primitives for WSNs. By using the automated security verification tool ProVerif, BAN-logic verification, and an informal security analysis, we prove that our proposed scheme is secure and realizes all known security features in WSNs. Moreover, we show that our proposed scheme is practical and efficient through the comparison of security features and performance.

A dynamic and multi-level key management method in wireless sensor networks (WSNs)

With the development of sensing devices and wireless communication technologies, wireless sensor networks are composed of a large number of sensor nodes that are equipped with limited computing performance and restricted communication capabilities. Besides, the sensor nodes are deployed in hostile or unattended environments. Therefore, the wireless sensor networks are vulnerable to security. In particular, the fatal damage may be occurred when data are exposed in real world applications. Therefore, it is important for design requirements to be made so that wireless sensor networks provide the strong security. However, because the conventional security schemes in wired networks did not consider the limited performance of the sensor node, they are so hard to be applied to wireless sensor networks. In this paper, we propose a secure multipath transmission scheme based on one-way hash functions in wireless sensor networks considering the limited performance of the wireless sensor nodes. The proposed scheme converts a sensor reading based on one of one-way hash functions MD5 in order to make it harder to be cracked and snooped. And then, our scheme splits the converted data and transfers the split data to the base station using multi-path routing. The experimental results show that our proposed scheme consumes the energy of just about 6% over the existing security scheme.

Heterogeneous online/offline signcryption for secure communication in Internet of Things

Divide-and-conquer architecture based collaborative sensing for target monitoring in wireless sensor networks