Securing Wireless Sensor Networks Against Denial‐of‐Sleep Attacks Using RSA Cryptography Algorithm and Interlock Protocol

Fotohi, Reza; Bari, Somayyeh Firoozi; Yusefi, Mehdi

doi:10.1002/dac.4234

Cited by 84 publications

(80 citation statements)

References 55 publications

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“…The FP is calculated by the total number of things wrongly detected as the malicious things divided by the total number of normal things [16][17][18]. Therefore, the FPR is defined as illustrated in Eq.…”

Section: Fprmentioning

confidence: 99%

Multi-level trust-based intelligence schema for securing of internet of things (IoT) against security threats using cryptographic authentication

et al. 2020

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The Internet of Things (IoT) is able to provide a prediction of linked, universal, and smart nodes that have autonomous interaction when they present services. Because of wide openness, relatively high processing power, and wide distribution of IoT things, they are ideal for attacks of the gray hole. In the gray hole attack, the attacker fakes itself as the shortest path to the destination that is a thing here. This causes the routing packets don't reach the destination. The proposed method is based on the AODV routing protocol and is presented under the MTISS-IoT name which means for the reduction of gray hole attacks using check node information. In this paper, a hybrid approach is proposed based on cryptographic authentication. The proposed approach consists of four Phases, such as the verifying node trust in the IoT, testing the routes, gray hole attack discovery, and the malicious attack elimination process in MTISS-IoT. The method is evaluated here via extensive simulations carried out in the NS-3 environment. The experimental results of four scenarios demonstrated that the MTISS-IoT method can achieve a false-positive rate of 14.104 percent, a false-negative rate of 17.49 percent and a detection rate of 94.5 percent when gray hole attack was launched.

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Section: Fprmentioning

confidence: 99%

Multi-level trust-based intelligence schema for securing of internet of things (IoT) against security threats using cryptographic authentication

et al. 2020

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“…The FP is calculated by the total number of nodes wrongly detected as the malicious nodes divided by the total number of normal nodes [29,30]. Therefore, the is defined as illustrated in Eq.…”

Section: Fpmentioning

confidence: 99%

An Agent-Based Self-Protective Method to Secure Communication between UAVs in Unmanned Aerial Vehicle Networks

Fotohi¹,

Nazemi²

2020

Preprint

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UAVNs (unmanned aerial vehicle networks) may become vulnerable to threats and attacks due to their characteristic features such as highly dynamic network topology, open-air wireless environments, and high mobility. Since previous work has focused on classical and metaheuristicbased approaches, none of these approaches have a self-adaptive approach. In this paper, the challenges and weaknesses of previous methods are examined in the form of a table. Furthermore, we propose an agent-based self-protective method (ASP-UAVN) for UAVNs that is based on the Human Immune System (HIS). In ASP-UAS, the safest route from the source UAV to the destination UAV is chosen according to a self-protective system. In this method, a multi-agent system using an Artificial Immune System (AIS) is employed to detect the attacking UAV and choose the safest route. In the proposed ASP-UAVN, the route request packet (RREQ) is initially transmitted from the source UAV to the destination UAV to detect the existing routes. Then, once the route reply packet (RREP) is received, a self-protective method using agents and the knowledge base is employed to choose the safest route and detect the attacking UAVs. The proposed ASP-UAVN has been validated and evaluated in two ways: simulation and theoretical analysis. The results of simulation evaluation and theory analysis showed that the ASP-UAS increases the Packet Delivery Rate (PDR) by more than 17.4, 20.8, and 25.91%, and detection rate by more than 17.2, 23.1, and 29.3%, and decreases the Packet Loss Rate (PLR) by more than 14.4, 16.8, and 20.21%, the false-positive and false-negative rate by more than 16.5, 25.3, and 31.21% those of SUAS-HIS, SFA and BRUIDS methods, respectively.An unmanned aerial vehicle (UAV) is, in fact, an aircraft flying with no human pilot on board. Instead, an operator or the on-board computer systems control autonomously its flight either remotely. By developments in computing, device miniaturization and communication, other flying objects including quadcopters, gliders, and balloons could be also included in UAVs. Historically, military operations utilized in missions imposing high-risk levels to human pilots. However, more applications were recently found in civilian domains for UAVs. They involve rescue and search operations, inspection, and policing [1,2, and 3]. Figure 1 and 2 shows two examples of Civil applications. The setup involves multiple components and numerous links to communication. The task of each link is to transmit certain kinds of information and data. Generally, based on the kind of transmitted information, 3 various types of links should exist in these networks, i.e. radio communication, Satellite link, and U2U. The radio communication links transmit telemetry data, control audio, and video information. Furthermore, the task of satellite links is to carry GPS, meteorological, and weather information, along with the data transferred by the radio communication links. UAV applications in the field of Civil have been added to the paper in detail as the f...

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“…In Fotohi et al, 27 the security protocol is based on RSA with Abnormal Sensor Detection Accuracy (ASDA‐RSA) to resist Denial‐of‐Sleep (DoSL) attack only. This protocol is vulnerable to masquerade, replay, Sybil, and secret value guessing attack and suffers from more computation and communicational overheads.…”

Section: Related Workmentioning

confidence: 99%

Simple, secure, and lightweight mechanism for mutual authentication of nodes in tiny wireless sensor networks

Jain

Hussain

Kakarla

2020

Int J Communication

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Wireless sensor networks (WSNs) are widely used in large areas of applications; due to advancements in technology, very tiny sensors are readily available, and their usage reduces the cost. The mechanisms designed for wireless networks cannot be implied on networks with tiny nodes due to battery and computational constraints. Understanding the significance of security in WSNs and resource constraintness of tiny WSNs, we propose a node authentication mechanism for nodes in wireless sensor networks to avoid security attacks and establish secure communication between them. In the proposed mechanism, a base station (BS) generates a secret value and random value for each sensor node and stores at the node. The sensor node authenticates using secret value and random number. Random nonce ensures freshness, efficiency, and robustness. The proposed mechanism is lightweight cryptographic, hence requires very less computational, communication, and storage resources. Security analysis of the proposed mechanism could not detect any security attack on it, and the mechanism was found to incur less storage, communication, and computation overheads. Hence, the proposed mechanism is best suitable for wireless sensor networks with tiny nodes. K E Y W O R D Smathematical mechanism, cryptographic, node authentication, tiny nodes, wireless sensor networks

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Securing Wireless Sensor Networks Against Denial‐of‐Sleep Attacks Using RSA Cryptography Algorithm and Interlock Protocol

Cited by 84 publications

References 55 publications

Multi-level trust-based intelligence schema for securing of internet of things (IoT) against security threats using cryptographic authentication

Multi-level trust-based intelligence schema for securing of internet of things (IoT) against security threats using cryptographic authentication

An Agent-Based Self-Protective Method to Secure Communication between UAVs in Unmanned Aerial Vehicle Networks

Simple, secure, and lightweight mechanism for mutual authentication of nodes in tiny wireless sensor networks

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