A novel countermeasure technique to protect WSN against denial-of-sleep attacks using firefly and Hopfield neural network (HNN) algorithms

Fotohi, Reza; Bari, Somayyeh Firoozi

doi:10.1007/s11227-019-03131-x

Cited by 57 publications

(44 citation statements)

References 27 publications

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“…Hypothesis 2: the results of this hypothesis is based on the results of the following researches [10,11]. Hypothesis 3: the results of this hypothesis is consistent with the results of the following research [8].…”

Section: Discussionsupporting

confidence: 72%

Analyzing the Effective Factors on Customer Behavior in Mobile Marketing

Arbab¹,

Hamaidi²,

Gharakhani³

2020

Preprint

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Nowadays, customers play a very important and vital role in the field of global economy. As a result, companies give special significance to the customers to survive and grow in the field of economic competition in the modern world and increase their relationship with the buyers of their products and services throughout their lifetime. Marketing growth through mobile phones has provided further motives for performing more researches in the field of customer behavior and attitude in mobile marketing. The goal of the current study is to analyze the effective factors on customer behavior in mobile marketing. The variables used in this study are perceived ease of use, individual knowledge, user’s mobile phone technology, customers’ negative attitudes, and customers’ positive attitudes. The current research is practical in terms of objective and is descriptive-analytic in terms of methodology. Data were gathered by distributing a questionnaire among 284 students of Tehran University. Data were analyzed by structural equation modeling using Lisrel and Expert Choice software. Test results showed that ease of use, individual knowledge, mobile phone technology, positive attitude, and negative attitude variables have a meaningful effect on customer behavior in mobile marketing. The confirmation of all the assumptions of the research supports the importance of the customer behavior analysis in mobile phone services.

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Section: Discussionsupporting

confidence: 72%

Analyzing the Effective Factors on Customer Behavior in Mobile Marketing

Arbab¹,

Hamaidi²,

Gharakhani³

2020

Preprint

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“…This model can capture the UAVs' acceleration correlation in both spatial and temporal domains accommodating the analysis and design. Based on [27], a uniform distribution exists for the ST model's stationary node leading to some closed-form connectivity. The major acronyms and notations used in this paper are provided Table 3.…”

Section: Motion Direction Of the Uavmentioning

confidence: 99%

“…PDR results from dividing the total received packets of data at the destination UAV, to the total transmitted packets of data by the source UAV, denoted in percentage[25][26][27][28]. Eq.…”

mentioning

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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“…When the BS is in the network, EECRP can send a significant amount of data with very low energy loss. Therefore, network lifetime is longer for EECRP than it is for LEACH [9].…”

Section: Aomdv-iot Techniquementioning

confidence: 99%

Energy Efficient Multi-Path Routing Algorithm Using Gray System Theory for Improvement of Routing and Network Stability in Internet of Things

R¹,

Bagherifard²,

Nejatian³

et al. 2020

Preprint

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Internet of things (IoT) is a network of smart things. This indicates the ability of these physical things to transfer information with other physical things. The characteristics of these networks, such as topology dynamicity and energy constraint, challenges the routing problem in these networks. Previous routing methods could not achieve the required performance in this type of network. Therefore, developers of this network designed and developed specific methods in order to satisfy the requirements of these networks. One of the routing methods is utilization of multi-path protocols which send data to its destination using routes with separate links. One of such protocols is AOMDV routing protocol. In this paper, this method is improved using gray system theory which chooses the best paths used for separate routes to send packets. To do this, AOMDV packet format is altered and some fields are added to it so that energy criteria, link expiration time, and signal to noise ratio can also be considered while selecting the best route. The proposed method named RMPGST-IoT is introduced which chooses the routes with highest rank for concurrent transmission of data, using a specific routine based on the gray system theory. In order to evaluate and report the results, the proposed RMPGST-IoT method is compared to the ERGID and ADRM-IoT approaches with regard to throughput, packet receiving rate, packet loss rate, average remaining energy, and network lifetime. The results demonstrate the superior performance of the proposed RMPGST-IoT compared to the ERGID and ADRM-IoT approaches.

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A novel countermeasure technique to protect WSN against denial-of-sleep attacks using firefly and Hopfield neural network (HNN) algorithms

Cited by 57 publications

References 27 publications

Analyzing the Effective Factors on Customer Behavior in Mobile Marketing

Analyzing the Effective Factors on Customer Behavior in Mobile Marketing

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

Energy Efficient Multi-Path Routing Algorithm Using Gray System Theory for Improvement of Routing and Network Stability in Internet of Things

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