A Wormhole Attacks Detection Using a QTS Algorithm with MA in WSN

Jao, Meng-Hsiu; Hsieh, Ming-Hsuan; He, Kuan-Hsien; Liu, Dai-Hua; Kuo, Shu-Yu; Chu, Ting-Hui; Chou, Yao-Hsin

doi:10.1109/smc.2015.17

Cited by 15 publications

(4 citation statements)

References 11 publications

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“…Compared with other traditional evolutionary algorithms [9]- [11], such as GAs, PSO, the tabu search, and QIEAs [55]- [57], and the quantuminspired electromagnetism-like mechanism (QEM) [58], the QTS [16] algorithm shows much better performance on both the 0/1 knapsack problem and the traveling salesman problem. Moreover, the QTS algorithm has been applied to many combinatorial optimization problems and used in real world application, such as function optimization [17], [59], deployment in wireless sensor networks (WSNs) [60], wormhole attack detection [61], stock selection [62], stock trading [63], [64], and reversible circuit synthesis [65]. The QTS algorithm demonstrates better results than other traditional optimization methods for these optimization problems.…”

Section: Related Workmentioning

confidence: 99%

Building Intelligent Moving Average-Based Stock Trading System Using Metaheuristic Algorithms

Kuo¹,

Chou²

2021

IEEE Access

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Many studies have been proposed to prove that technical analysis can help investors make trading decisions. The moving average (MA) is a widely used technical indicator that plays an important role in this field since it directly reflects stock fluctuations. However, most studies ignore the parameter settings of the MA, which leads to underestimation of the potential of the MA. Therefore, this paper is the first attempt to remove all restrictions and extend the limits of the MA to take advantage of the MA's capability well. It also uses different kinds of MA, such as the weighted moving average (WMA) and the exponential moving average (EMA), to compose trading strategies. Our system proposes the global best-guided quantum-inspired tabu search algorithm (GQTS), which is better at searching than traditional algorithms, to optimize trading strategies based on the MA. Furthermore, an innovative 2-phase sliding window is invented to consider more investment situations in changeable stock markets. In summary, this paper intended to investigate the ability of MA and proposed dynamic and intelligent trading strategies based on MA, GQTS, and 2-phase sliding window to assist investors to make trading decisions. The experiments show that the proposed system flexibly discovers better trading points. Our system outperforms traditional methods and beats the buy-and-hold strategy to yield significant profits both in developed and emerging stock markets.

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Section: Related Workmentioning

confidence: 99%

Building Intelligent Moving Average-Based Stock Trading System Using Metaheuristic Algorithms

Kuo¹,

Chou²

2021

IEEE Access

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“…Traditional wireless networks do not have as many limitations as WSN, which is why the implementation of security mechanisms is not an easy task [44], and many authors ignore this aspect in their proposals. The wireless sensor network, as compared to traditional computer networks, has certain limitations that are highlighted in [124], including:…”

Section: Security Threatsmentioning

confidence: 99%

“…Table 9 shows the different topologies used by each proposal, whether the proposal makes an analysis or takes into account the detection of false positives, and also if it detects and prevents the SF attack. Ad-Hoc WSN Yes Yes No [28] Cluster/Tree No Yes No [44] Ad-Hoc WSN No Yes No [14] MANET No Yes Yes [84] MANET No Yes Yes [117] MANET Yes Yes Yes [1] MANET Yes Yes Yes [56] MANET No Yes Yes [20] Ad-Hoc WSN No Yes Yes [33] MANET No Yes Yes [39] MANET No Yes Yes [59] Cluster/Tree No Yes No [118] MANET Yes Yes No [85] Mesh No Yes Yes [8] VANET No No Yes [121] MANET No Yes Yes [29] Cluster/Tree No Yes Yes [140] Ad-Hoc WSN No Yes No [127] Cluster/Tree Yes Yes Yes [108] Ad-Hoc WSN No Yes No [126] Ad-Hoc WSN No Yes Yes [20] Ad-Hoc WSN No Yes Yes [21] Cluster/Tree No Yes Yes [70] Cluster/Tree No Yes Yes [129] Cluster/Tree Yes Yes Yes Table 10 shows which of the metrics found throughout this bibliographic review were used by each proposal. The most used metric to mitigate the sybil attack is power consumption, in fact, 12 proposals used this metric.…”

Section: Selective Forwarding Attackmentioning

confidence: 99%

An analytical Survey of Attack Scenario Parameters on the Techniques of Attack Mitigation in WSN

Avila

Sanmartin

Molinares

et al. 2021

Wireless Pers Commun

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Wireless sensor networks (WSN) were cataloged as one of the most important emerging technologies of the last century and are considered the basis of the Internet of Things paradigm. However, an undeniable disadvantage of WSN is that the resources available for these types of networks, such as processing capacity, memory, and battery, are usually in short supply. This limitation in resources implements security mechanisms a difficult task. This work reviews 93 recent proposals in which different solutions were formulated for the different attacks in WSN in the network layer; in total, 139 references were considered. According to the literature, these attacks are mainly Sybil, wormhole, sinkhole, and selective forwarding. The main goal of this contribution is to present the evaluation metrics used in the state of the art to mitigate the Sybil, wormhole, sinkhole, and selective forwarding attacks and show the network topologies used in each of these proposals.

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“…They include attacks, selective forwarding, sinkholes, and wormholes, and are intended to induce an unwanted behavior in specific elements of WSNs through malicious nodes and traffic manipulation. These attacks are successful because they give an attacker the ability to intercept and modify data in real time, execute denials of service and selective forwarding attacks, store packets, inject false information into legitimate nodes and disrupt routing processes (Jao et al, 2015). The risks of wormhole attacks represent new security gaps that must be addressed and reduced to protect end users' data and privacy.…”

Section: Introductionmentioning

confidence: 99%

Implementing a Wormhole Attack on Wireless Sensor Networks with XBee S2C Devices

Gómez¹,

Montoya²,

Henao³

2019

Rev. colomb. comput.

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One of the most dangerous threats to Wireless Sensor Networks (WSN) are wormhole attacks, due to their capacity to manipulate routing and application data in real time and cause important damages to the integrity, availability, and confidentiality of network data. An empirical method to launch a successful attack on IEEE 802.15.4/Zigbee devices with source routing enabled is adopted in this work to find signatures for detecting wormhole attacks in real environments. It uses the KillerBee framework with algorithms for packet manipulation through a malicious node to capture and inject malicious packets in victim nodes. Besides, a reverse variant of wormhole attack is presented and executed. To evidence the realization of this threat by the attacking software, the experimental framework includes XBee S2C nodes. The results include recommendations, detection signatures and future work to face wormhole attacks involving source routing protocols like DSR.

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A Wormhole Attacks Detection Using a QTS Algorithm with MA in WSN

Cited by 15 publications

References 11 publications

Building Intelligent Moving Average-Based Stock Trading System Using Metaheuristic Algorithms

Building Intelligent Moving Average-Based Stock Trading System Using Metaheuristic Algorithms

An analytical Survey of Attack Scenario Parameters on the Techniques of Attack Mitigation in WSN

Implementing a Wormhole Attack on Wireless Sensor Networks with XBee S2C Devices

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