WITHDRAWN: An efficient biometric based authenticated geographic opportunistic routing for IoT applications using secure wireless sensor network

Wireless sensor networks (WSNs) have been developed in the Internet of Things (IoT) and play an important role to provide a wide range of applications through sensors, such as smart home, traffic management, smart grids and environment monitoring. To promise reliable data delivery, existing works exploit geographic opportunistic routing with multiple candidate forwarders in WSNs. However, these approaches suffer from Denial of Service (DoS) attacks, in which a large number of invalid data are delivered to receivers to disturb normal operations of WSNs. This project proposes a selective authentication-based geographic opportunistic routing (SelGOR) to defend against the DoS attacks, satisfying the requirements of authenticity in WSNs. By analyzing statistic state information (SSI) of wireless links, SelGOR leverages an SSI-based trust model to improve the efficiency of data delivery. Unlike previous opportunistic routing protocols, SelGOR ensures data integrity by developing an entropy-based selective authentication algorithm, and is able to isolate DoS attackers and reduce the computational cost.

Wireless Sensor Networks (WSN) has been extensively utilized as a communication model in Internet of Things (IoT). As well, to offer service, numerous IoT based applications need effective transmission over unstable locations. To ensure reliability, prevailing investigations exploit multiple candidate forwarders over geographic opportunistic routing in WSNs. Moreover, these models are affected by crucial denial of service (DoS) attacks, where huge amount of invalid data are delivered intentionally to the receivers to disturb the functionality of WSNs. Here, secure localization based authentication (SLA) is presented to fight against DoS attack, and to fulfil the need of reliability and authentication. By examining state information, SLA projects a trust model to enhance efficacy of data delivery. Indeed, of the prevailing opportunistic protocols, SLA guarantees data integrity by modelling a trust based authentication, providing protection against DoS attackers and diminishing computational costs. Specifically, this model acts as a verification strategy to accelerate? attackers and to handle isolation. This strategy helps SLA in eliminating duplicate transmission and by continuous verification that results from conventional opportunistic routing. Simulation is performed in a MATLAB environment that offers authentic and reliable delivery by consuming approximately 50% of the cost in contrast to other approaches. The anticipated model shows better trade off in comparison to the prevailing ones.

To measure the degree of basic service of wireless sensor network (WSN) with denial of service (DoS) attacks, it is necessary to evaluate survivability of WSN. This paper presents new method based on services and Markov Chain. It distinguishes services, analyzes influence of services under DoS attacks, gets the formula of survivability. Probability of states is obtained by markov chain, then the quantitve survivability is getted in different states. Simulations prove that DoS attacks obviously decrease the survivability of WSN, but adding node energy and improving node density in certain range can reduce the influence of DoS attacks.

Code dissemination is one of the important services of wireless sensor networks (WSNs). Securing the process of code dissemination is essential in some certain WSNs applications, state-of-the-art secure code dissemination protocols for WSNs aim for the efficient source authentication and integrity verification of code image, however, due to the resource constrains of WSNs and the epidemic behavior of the code dissemination system, existing secure code dissemination protocols are vulnerable to Denial of Service (DoS) attacks when sensor nodes can be compromised (insider DoS attacks). In this paper, we identify five different basic types of DoS attacks exploiting the epidemic propagation strategies used by Deluge. They are (1) Higher-version Advertisement attack, (2) False Request attack, (3) Larger-numbered Page attack, (4) Lower-version Adv attack, and (5) Same-version Adv attack. Simulation shows these susceptibilities caused by above insider DoS attacks. Some simple models are also proposed which promote understanding the problem of insider DoS attacks and attempt to quantify the severity of these attacks in the course of code dissemination in WSNs.

In WSN, DoS (denial of service) attack makes shortcoming system. The packets travel over and over in the sensor network. By that, all the assets like data transmission, memory, and vitality are squandered by this attack. However, the attacker ought to optimize its attacker plan for request to boost the impact on the system performance because of the deficiency of vitality at the aggressor side. Denial of service (DoS) attack on the Internet has become a squeezing issue. By staying away from these sorts of attacks, network performance can be improved. Therefore, security is a fundamental requirement for these networks. Effective routing is necessary in order to overcome the issued faced by the crosslayer in the DOS attack of the WSN network for the purpose of good transmission. This research work mainly focuses on performance evaluation using optimization methods. To establish the efficient path in the crosslayer against DoS attack, this paper has proposed enhanced lion optimization with an efficient path routing equalization technique (LOEPRE). If any failure node occurs in the network, then the node is recognized and the transfer of the data packet is done to the other node. Retransmission of data causes overload in the network. The proposed model focuses on these issues and overcomes these issues by improving the path efficiently with robust security. It consists of three phases: the initial phase includes the route discovery in the network. In the second phase, the transfer of data is done in the high router path for security purposes. Finally, the efficient path routing equalization technique is used for minimizing the overload in the network; it provides the equalized path length in the network and is highly efficient. Hence, the proposed LOEPRE technique is used to achieve energy efficiency in wireless network for prolonged network lifetime and minimum packet latency and minimize consumption of energy. Moreover, the simulation outcome of the proposed LOEPRE method is highly robust while comparing to the existing methods EFCRS, SSPRA ELOER, EFLOR, and TSTP. It achieves better performance than existing algorithms in comparing metric connectivity ratio, end-to-end delay, overhead, throughput, and packet delivery ratio.

Internet of Things (IoT) becomes more popular, and things are connected to each other through wired or wireless communication methods. Though things are connected with various methods easily, it attracts network attackers who exploit these open and convenient network connections in order to obtain unjustified information and benefits or to subvert various IoT systems. Especially, Denial of Service (DoS) attack becomes a serious problem on IoT system where huge number of devices are connected to. These devices are usually connected to IoT gateways in order to send packets to Internet. However, currently the impact of DoS attack on an IoT gateway, which has various interfaces such as wireless LAN interface and wired LAN interface, is not well examined. In this paper, we assess the impact of DoS attack on an IoT gateway with various scenarios. We implemented a prototype of an IoT gateway which has wired and wireless network interfaces by using Raspberry Pi, OpenWRT, and OVS (Open vSwitch). With this prototype, we evaluated various DoS attack scenarios on this IoT gateway. Through this evaluation, we observed the severity of DoS attack on IoT gateways, especially for wireless connections.

In ad-hoc and wireless networks, Denial of Service (DoS) attacks has always been problematic during data routing. DoS attacks disrupt the data routing and avert the generated data to reach the destination or the sink nodes. In tunnel attack, which is one of the type of DoS attacks, the intruder attracts all the traffic towards itself and prevent it from forwarding further to the neighboring nodes. Researchers have presented multiple solutions to cater the problem and minimize or avoid the tunnel attacks, but they all have their shortcomings. The main reason behind all the drawbacks is that those solutions have not been confirmed using formal methods. The formal methods can be utilized to authenticate whether or not the solutions are immune to DoS attacks. In our previous researches, it has been revealed that by employing formal methods, our newly developed protocol RAEED can detect and avoid many DoS attacks. In this research paper, it has been proved using model checker that RAEED can efficiently avoid both simple and intelligent tunnel attacks. Moreover, the results of formal methods have been confirmed with the help of computer simulations as well as practical implementation on MicaZ motes. In future we aim to employ formal methods to verify more wireless communication issues in multiple protocols.

The Internet of Things (IoT) is becoming an increasingly growing topic. IoT encompasses everything connected to the internet. IoT requires multi-facet security solutions where the communication is secured with confidentiality, integrity, and service availability. However, IoT Sensor Node has the requirement to minimize power usage and computational power due to the requirement to be miniature. Therefore, the challenge of implementing security in the IoT Sensor Node must be addressed. Even if the IoT Sensor Node is protected with encryption and authentication, the protection is not comprehensive to sustain a Denial of Service (DoS) attack. The DoS attack is considered one of the security threats that may affect IoT network's quality service and reduce IoT Sensor Node's lifespan. Hence, mitigation shall be needed to secure IoT Sensor Node. This paper aims to propose a lightweight Denial of Service (DoS) Detection Systems algorithm to secure IoT Sensor Node. The approach uses data from previous experiments and translated it to develop mitigation to secure IoT Sensor Node, thus increasing IoT Sensor Node's lifespan.

In Wireless Sensor Network (WSN), the nodes have limitations in terms of energy-constraint, unreliable links, and frequent topology change. In this paper we propose an energy-aware routing protocol, that outperforms the existing ones with an enhanced network lifetime and more reliable data delivery. Major issues in the design of a routing strategy in wireless sensor networks are to make efficient use of energy and to increase reliability in data delivery. The proposed approach reduces both energy consumption and communication-bandwidth requirements and prolongs the lifetime of the wireless sensor network. Using both analysis and extensive simulations, we show that the proposed dynamic routing helps achieve the desired system performance under dynamically changing network conditions. The proposed algorithm is compared with one of the best existing routing algorithms, GRAB. Moreover, a modification in GRAB is proposed which not only improves its performance but also prolongs its lifetime.

Sensors have varied constraints, which makes the network challenging for communicating with its peers. In this paper, an extension to the security of physical layer of a predictive sensor network model using the ant system is proposed. The Denial of Service (DoS) attack on sensor networks not only diminishes the network performance but also affects the reliability of the information making detection of a DoS threat is more crucial than recovering from the attack. Hence, in this paper, a novel approach in detecting the DoS attack is introduced and analyzed for a variety of scenarios. The DoS attack is dependent on the vulnerabilities in each layer, with the physical layer being the lowest layer and the first to be attacked by jammers. In this paper, the physical layer DoS attack is analyzed and a defense mechanism is proposed. Classification of the jammer under various attack scenarios is formulated to predict the genunity of the DoS attacks on the sensor nodes using receiver operating characteristics (ROC). This novel approach helps in achieving maximum reliability on DoS claims improving the Quality of Service (QoS) of WSN.

In most of the applications of wireless sensor networks (WSNs), nodes operate in unattended environments and are, therefore, vulnerable to variety of attacks. Due to dynamic and unpredictable changing behavior of nodes, the reliable data delivery is a challenging task. For WSNs, the traditional cryptographic and authentication-based solutions cannot be adopted due to their associated cost and incapability to counter nodes misbehavior attacks. Recently, trust-based solutions have proved to be more effective to address nodes' misbehavior attacks. However, the existing solutions give rise to high energy consumption and control overheads in pursuit of trust estimation and network-wide dissemination, which not only adds to network congestion but also undermines network lifetime. In this paper, we present a trust and energy aware routing protocol (TERP) that makes use of a distributed trust model for the detection and isolation of misbehaving and faulty nodes. Moreover, TERP incorporates a composite routing function that encompasses trust, residual-energy, and hopcounts of neighbor nodes in making routing decisions. This multi-facet routing strategy helps to balance out energy consumption among trusted nodes, while routing data using shorter paths. The simulation results demonstrate reduced energy consumption, improved throughout and network lifetime of TERP when compared with the existing work.

Wireless Sensor Networks (WSNs) being an indispensable entity of the Internet of Things (IoT) are found to be more and more widely utilized for the rapid advent of IoT environment. The reliability of data dissemination in the IoT environment completely depends on the secure neighbor discovery mechanism that are utilized for effective and efficient communication among the sensor nodes. Secure neighbor discovery mechanisms that significantly determine trustworthy sensor nodes are essential for maintaining potential connectivity and sustaining reliable data delivery in the energy-constrained self organizing WSN. In this paper, Fuzzy Technique of Order Preference Similarity to the Ideal Solution (TOPSIS)-based Secure Neighbor Discovery Mechanism (FTOPSIS-SNDM) is proposed for estimating the trust of each sensor node in the established routing path for the objective of enhancing reliable data delivery in WSNs. This proposed FTOPSIS-SNDM is proposed as an attempt to integrate the merits of Fuzzy Set Theory (FST) and TOPSIS-based Multi-criteria Decision Making (MCDM) approach, since the discovery of secure neighbors involves the exchange of imprecise data and uncertain behavior of sensor nodes. This secure neighbor is also influenced by the factors of packet forwarding potential, delay, distance from the Base Station (BS) and residual energy, which in turn depends on multiple constraints that could be possibly included into the process of secure neighbor discovery. The simulation investigations of the proposed FTOPSIS-SNDM confirmed its predominance over the benchmarked approaches in terms of throughput, energy consumption, network latency, communication overhead for varying number of genuine and malicious neighboring sensor nodes in network.

Wireless Sensor Networks (WSNs) are rapidly emerging as an important new area in wireless and mobile computing research. Applications of WSNs are numerous and growing, and range from indoor deployment scenarios in the home and office to outdoor deployment scenarios in adversary's territory in a tactical battleground (Akyildiz et al., 2002). For military environment, dispersal of WSNs into an adversary's territory enables the detection and tracking of enemy soldiers and vehicles. For home/office environments, indoor sensor networks offer the ability to monitor the health of the elderly and to detect intruders via a wireless home security system. In each of these scenarios, lives and livelihoods may depend on the timeliness and correctness of the sensor data obtained from dispersed sensor nodes. As a result, such WSNs must be secured to prevent an intruder from obstructing the delivery of correct sensor data and from forging sensor data. To address the latter problem, end-to-end data integrity checksums and post-processing of senor data can be used to identify forged sensor data (Estrin et al., 1999; Hu et al., 2003a; Ye et al., 2004). The focus of this chapter is on routing security in WSNs. Most of the currently existing routing protocols for WSNs make an optimization on the limited capabilities of the nodes and the application-specific nature of the network, but do not any the security aspects of the protocols. Although these protocols have not been designed with security as a goal, it is extremely important to analyze their security properties. When the defender has the liabilities of insecure wireless communication, limited node capabilities, and possible insider threats, and the adversaries can use powerful laptops with high energy and long range communication to attack the network, designing a secure routing protocol for WSNs is obviously a non-trivial task.

Internet of Things (IOT) is experiencing a super-fast growing phase. Wireless Sensor Networks (WSN), as the “five sense organs” and teleneuron of IOT, is developing fast along. Owing to the application-oriented characteristics of WSN, WSN applications may differ enormously in implementation methods. The WSN developers may have to rewrite the code for each and every application. Along with the increasing demand to WSN applications, WSN developers may have heavier tasks of programming for these applications. Thanks to TinyOS and NesC, an operating system and programming language designed especially for WSN, raises the WSN application's programming to a higher level. Large number of supported sensor hardware plus system provided and user-de-fined libraries eases WSN application programmers' jobs. How-ever, the massive amount of nodes' communication and networking, and security protection slows down the development pace. A unified and empirical WSN application implementation platform is one of the available solutions to the problem. This paper introduces an empirical WSN application implementation platform, which avails the WSN developers build an application with unified code template and network packet generation and processing strategies.

Information processing and information routing in wireless sensor network is one of the most important key area of recent research. Building an optimal routing protocol for information routing is a tough task in dealing with the sensor nodes. Information exchange can be done with the major possible way in order to provide a secure communication and reliable data delivery, here in this study we focus on routing protocol with reliable delivery. Hence we proposed a new algorithm/protocol which optimally routes the data packets from source to destination with efficient utilization of energy resources. The proposed protocol is based on next hop graph node in terms of reliable data packet routing by framing the route in the form of graphs. The simulation results showed in the performance analysis phase denotes the proposed method outperforms the existing routing protocol in terms of reliability and robustness in efficient routing. The proposed methodology achieves the connectivity and connectivity path in WSN which is critical in WSN.