QoI-Aware Unified Framework for Node Classification and Self-Reconfiguration Within Heterogeneous Visual Sensor Networks

Amjad, Anas; Griffiths, Alison; Patwary, Mohammad

doi:10.1109/access.2016.2635941

Cited by 4 publications

(4 citation statements)

References 34 publications

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“…There are many works to detect botnets using the honeypots, such as Kippo [46], Cowry [47], Dionaea [48], Telnet-Internet of Things (IoT)-Honipat [49], and IoTPOT [50]. However, this paper focuses more on utilizing honeypots to monitor the P2P botnets.…”

Section: Passive Monitoring Approachesmentioning

confidence: 99%

Monitoring Peer-to-Peer Botnets: Requirements, Challenges, and Future Works

Kabla¹,

Anbar²,

Manickam³

et al. 2023

Computers, Materials &Amp; Continua

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The cyber-criminal compromises end-hosts (bots) to configure a network of bots (botnet). The cyber-criminals are also looking for an evolved architecture that makes their techniques more resilient and stealthier such as Peer-to-Peer (P2P) networks. The P2P botnets leverage the privileges of the decentralized nature of P2P networks. Consequently, the P2P botnets exploit the resilience of this architecture to be arduous against take-down procedures. Some P2P botnets are smarter to be stealthy in their Commandand-Control mechanisms (C2) and elude the standard discovery mechanisms. Therefore, the other side of this cyberwar is the monitor. The P2P botnet monitoring is an exacting mission because the monitoring must care about many aspects simultaneously. Some aspects pertain to the existing monitoring approaches, some pertain to the nature of P2P networks, and some to counter the botnets, i.e., the anti-monitoring mechanisms. All these challenges should be considered in P2P botnet monitoring. To begin with, this paper provides an anatomy of P2P botnets. Thereafter, this paper exhaustively reviews the existing monitoring approaches of P2P botnets and thoroughly discusses each to reveal its advantages and disadvantages. In addition, this paper groups the monitoring approaches into three groups: passive, active, and hybrid monitoring approaches. Furthermore, this paper also discusses the functional and non-functional requirements of advanced monitoring. In conclusion, this paper ends by epitomizing the challenges of various aspects and gives future avenues for better monitoring of P2P botnets.

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Section: Passive Monitoring Approachesmentioning

confidence: 99%

Monitoring Peer-to-Peer Botnets: Requirements, Challenges, and Future Works

Kabla¹,

Anbar²,

Manickam³

et al. 2023

Computers, Materials &Amp; Continua

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“…Image content can be measured in terms of entropy, a metric related to the image's exposure to the correct amount of light, avoiding over and under-exposure [48,49]. It is also possible to quantify the quality of the data gathered from a visual node through peak signal-to-noise ratio (PSNR) based metric, evaluating the ratio between the maximum possible value of a signal, which is the information of each pixel, and the power of noise that affects the accuracy of the signal representation [77,78]. These are some interesting ways to assess visual monitoring quality in WVSN.…”

Section: Miscellaneousmentioning

confidence: 99%

“…Finally, the application performance reliability can be described through the required and provided Quality of Information (QoI) thresholds. QoI is defined as data suitability for a given application or a decision making process, and it can be quantified by a peak signal-to-noise ratio [78].…”

Section: Reviewing Dependable Qualitymentioning

confidence: 99%

“…This comparison for dependable quality seems unnecessary, since the only two metrics found in this category (reliability and availability) are, by definition, a special case of the other, i.e., if a system could not be repaired, its availability is equal to its reliability. Importance index [86] Manage dynamic prioritization of the application Requires a constant prioritization analysis for importance update, using a central computer Peak signal-to-noise ratio [77,78] Can deal with dynamic changes of bright in a scenario…”

Section: Comparing the Surveyed Categories And Metricsmentioning

confidence: 99%

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A Survey on Monitoring Quality Assessment for Wireless Visual Sensor Networks

et al. 2022

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Wireless visual sensor networks have been adopted in different contexts to provide visual information in a more flexible and distributed way, supporting the development of different innovative applications. Although visual data may be central for a considerable set of applications in areas such as Smart Cities, Industry 4.0, and Vehicular Networks, the actual visual data quality may be not easily determined since it may be associated with many factors that depend on the characteristics of the considered application scenario. This entails several aspects from the quality of captured images (sharpness, definition, resolution) to the characteristics of the networks such as employed hardware, power consumption, and networking efficiency. In order to better support quality analysis and performance comparisons among different wireless visual sensor networks, which could be valuable in many monitoring scenarios, this article surveys this area with special concern on assessment mechanisms and quality metrics. In this context, a novel classification approach is proposed to better categorize the diverse applicable metrics for quality assessment of visual monitoring procedures. Hence, this article yields a practical guide for analyzing different visual sensor network implementations, allowing fairer evaluations and comparisons among a variety of research works. Critical analysis are also performed regarding the relevance and usage of the proposed categories and identified quality metrics. Finally, promising open issues and research directions are discussed in order to guide new developments in this research field.

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RETRACTED: Light music online system based on FPGA and Convolutional Neural Network

Zhao

2021

Microprocessors and Microsystems

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QoI-Aware Unified Framework for Node Classification and Self-Reconfiguration Within Heterogeneous Visual Sensor Networks

Cited by 4 publications

References 34 publications

Monitoring Peer-to-Peer Botnets: Requirements, Challenges, and Future Works

Monitoring Peer-to-Peer Botnets: Requirements, Challenges, and Future Works

A Survey on Monitoring Quality Assessment for Wireless Visual Sensor Networks

RETRACTED: Light music online system based on FPGA and Convolutional Neural Network

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