Online Distributed IoT Security Monitoring With Multidimensional Streaming Big Data

Li, Fangyu; Xie, Rui; Wang, Zengyan; Guo, Lulu; Jin, Ya‐Qiu; Ma, Ping; Song, Wen-Zhan

doi:10.1109/jiot.2019.2962788

Cited by 48 publications

(32 citation statements)

References 33 publications

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“…To enhance the security, reliability, and accuracy of rapidly growing CPs architectures need research more sophisticated, optimization techniques with unsupervised learning and reinforcement learning BLCSs. [5] ISP gives better performance than Vanilla and Bernoulli and also gives better modeling accuracy than others.…”

Section: Resultsmentioning

confidence: 95%

“…As future work, authors said that to enhance the security, reliability, and accuracy of rapidly growing CPs architectures need research more sophisticated, optimization techniques with unsupervised learning and reinforcement learning BLCSs. In 2020, Fangyu Li, Rui Xie, Zengyan Wang, Lulu Guo, Jin Ye, Ping Ma, and Wenzhan Song [5] authors proposed an online distributed Internet of things (IoT) security monitoring algorithm to deal with the "big data" issues in IoT security. Their proposed algorithm expertly handles the complex streaming multinational time series.…”

Section: An Overviewmentioning

confidence: 99%

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A Noble Security Analysis of Various Distributed Systems

Akter

Hossain

Akanda

2021

Int. J. Eng. Scie. and Inform. Technology.

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Distributed systems increased the performance of a system by allowing applications to be processed in parallel. It helps us to share resources like printers, computers, storage facilities, data, files, web pages, networks, and thus it reduces the cost by shaing a single resource among several users instead of multiple resources. Since multiple machines communicate with each other through the network so they can be easily affected by the attacker and the full system should be corrupted. Users can access remote and local resources but they also may not aware of which machines their processes are running on. So, secure communiction of a distributed system is the most important issue. We need to analyze various vulnerabilities and can take proper protection of the system. In this paper, we discuss different architectural styles of distributed systems. Also, hold up different threads and protection mechanisms to get rid of these threads. The most focusing part of this paper is a summary of various distributed systems security. Here we hold up different distributed system security techniques like SSSE algorithm, BLCS architecture, ODIS algorithm, two eavesdropper model, dynamic cuckoo filter, etc. Finally, we summarize the full discussion like used methodology or architecture, advantages, disadvantages, accuracy, and future work in a table by which an author can easily gather knowledge about the summary of this paper. To better understanding, we show the result of various papers with a visual representation. I think it helps authors to know about security techniques and grow interested to work in this area.

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Section: Resultsmentioning

confidence: 95%

Section: An Overviewmentioning

confidence: 99%

A Noble Security Analysis of Various Distributed Systems

Akter

Hossain

Akanda

2021

Int. J. Eng. Scie. and Inform. Technology.

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“…As data-driven methods do not require explicit physical models, they can cope with complex, complicated, and heterogeneous phenomena. There are many data-driven methods for the security issues, such as the geometrically designed residual filter [46], signal analytics based [152], generalized likelihood ratio [153], the cumulative sum (CUSUM) [154], leverage score [155], influential point selection [156], support vector machine (SVM) [121], Gaussian mixture model (GMM) [122], neural networks [123], machine learning [121], deep learning [157], and so on.…”

Section: Data-driven Cyber-attack Detection and Mitigationmentioning

confidence: 99%

Cyber–Physical Security of Powertrain Systems in Modern Electric Vehicles: Vulnerabilities, Challenges, and Future Visions

You-hai

Guo

Yang

et al. 2021

IEEE J. Emerg. Sel. Topics Power Electron.

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“…Such methods have been extensively employed for attack detection, for example: In [3] such an algorithm is used to detect a Link flooding attack on an IoT Network, in [4] Hypothesis Testing is used against spectrum sensing data falsification in cognitive IoT Networks while in [5] Li et. al use it to empower an distributed attack detection System.…”

Section: A Statistical Hypothesis Testing In the Context Of Iot Networkmentioning

confidence: 99%

“…Experiments with the following data set size were performed N =[200, 500, 1000, 2500, 3000, 4000, 5000, 10000] while in each case the clusters were equally sized. For each data-set, the Monte Carlo process for clustering Significance was run for i iterations where i = [5,25,100,300,500,1000].…”

Section: Experiments 1: Synthetic Data-set From Three Isotropic Distributionsmentioning

confidence: 99%

A Hypothesis Testing tool for the comparison of different Cyber-Security Mitigation Strategies in IoT

Mpatziakas

Papadopoulos

Drosou

et al. 2021

2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)

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Internet of Things (IoT) is a field with tremendous growth that already shows great impact in numerous domains. Simultaneous with this development is the need for better Cyber-security: IoT systems are attacked by various adversaries targeting IoT services, platforms and networks, which can have disruptive consequences. These attacks can be countered using multiple strategies with different effects to the system. The following paper, proposes a novel approach based on Machine Learning and Statistical Hypothesis Testing, which allows the security operator to investigate how using different strategies affects various KPI related to the security of the IoT network and if the KPI resulting from modifications to a mitigation strategy are statistically different when compared to those occurring from a starting mitigation action set.

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Online Distributed IoT Security Monitoring With Multidimensional Streaming Big Data

Cited by 48 publications

References 33 publications

A Noble Security Analysis of Various Distributed Systems

A Noble Security Analysis of Various Distributed Systems

Cyber–Physical Security of Powertrain Systems in Modern Electric Vehicles: Vulnerabilities, Challenges, and Future Visions

A Hypothesis Testing tool for the comparison of different Cyber-Security Mitigation Strategies in IoT

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