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2022 | OriginalPaper | Buchkapitel

10. Cybersecurity and Ethics for IoT System: A Massive Analysis

verfasst von : Manish Thakral, Rishi Raj Singh, Bharathi V. Kalghatgi

Erschienen in: Internet of Things

Verlag: Springer Nature Singapore

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Abstract

This year’s exponential growth of digital links has resulted in a rise in cyber strikes, many of which have tragic and severe repercussions. Malware is the most common phenomenon used to achieve malevolent aims on the Internet, whether it is by exploiting new vulnerabilities or experimenting with new technologies and concepts. Customers identify the implementation of more robust and inventive pathogen parasitic breaches as a pressing need. In order to help them (Maxmen in Nature 555(7696):293–294, 2018), we will walk through the most common and easy problems that exist on old platforms, programming, and infrastructure layers. They serve as one of the most viable solutions after criticizing the present state requirements for change. Afterward, we analyze evolving assault techniques in areas such as Facebook, virtualization, mobile devices, and power grids. Finally, we discuss our hypothesis. We make a few observations regarding potential key findings coming up.

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Literatur
Zurück zum Zitat Ahmed S, Broek N (2017) Blockchain could boost food security. Nature 550(7674):43–43 Ahmed S, Broek N (2017) Blockchain could boost food security. Nature 550(7674):43–43
Zurück zum Zitat Baltrusaitis T, Ahuja C, Morency L (2019) Multimodal machine learning: a survey and taxonomy. IEEE Trans Pattern Anal Mach Intell 41(2):423–443 Baltrusaitis T, Ahuja C, Morency L (2019) Multimodal machine learning: a survey and taxonomy. IEEE Trans Pattern Anal Mach Intell 41(2):423–443
Zurück zum Zitat Barreiro E, Munteanu C, Cruz-Monteagudo M, Pazos A, González-Díaz H (2018) Net-Net auto machine learning (AutoML) prediction of complex ecosystems. Sci Rep 8(1). Barreiro E, Munteanu C, Cruz-Monteagudo M, Pazos A, González-Díaz H (2018) Net-Net auto machine learning (AutoML) prediction of complex ecosystems. Sci Rep 8(1).
Zurück zum Zitat Bhandari B (2018) Supply chain management, blockchains and smart contracts. SSRN Electron J Bhandari B (2018) Supply chain management, blockchains and smart contracts. SSRN Electron J
Zurück zum Zitat Calcaterra C, Kaal W, Andrei V (2018) Semada technical whitepaper—blockchain infrastructure for measuring domain specific reputation in autonomous decentralized and anonymous systems. SSRN Electron J Calcaterra C, Kaal W, Andrei V (2018) Semada technical whitepaper—blockchain infrastructure for measuring domain specific reputation in autonomous decentralized and anonymous systems. SSRN Electron J
Zurück zum Zitat Christidis K, Devetsikiotis M (2016) Blockchains and smart contracts for the Internet of Things. IEEE Access 4:2292–2303 Christidis K, Devetsikiotis M (2016) Blockchains and smart contracts for the Internet of Things. IEEE Access 4:2292–2303
Zurück zum Zitat Colón K (2018) Creating a patient-centered, global, decentralized health system: combining new payment and care delivery models with telemedicine, AI, and blockchain technology. Blockchain Healthcare Today 1:1–18 Colón K (2018) Creating a patient-centered, global, decentralized health system: combining new payment and care delivery models with telemedicine, AI, and blockchain technology. Blockchain Healthcare Today 1:1–18
Zurück zum Zitat Deep Learning Neural Network Structure Optimization (2020) Informatics and applications Deep Learning Neural Network Structure Optimization (2020) Informatics and applications
Zurück zum Zitat Dinh T, Thai M (2018) AI and blockchain: a disruptive integration. Computer 51(9):48–53 Dinh T, Thai M (2018) AI and blockchain: a disruptive integration. Computer 51(9):48–53
Zurück zum Zitat Dinh T, Liu R, Zhang M, Chen G, Ooi B, Wang J (2018) Untangling blockchain: a data processing view of blockchain systems. IEEE Trans Knowl Data Eng 30(7):1366–1385 Dinh T, Liu R, Zhang M, Chen G, Ooi B, Wang J (2018) Untangling blockchain: a data processing view of blockchain systems. IEEE Trans Knowl Data Eng 30(7):1366–1385
Zurück zum Zitat Fioretto F, Pontelli E, Yeoh W (2018) Distributed constraint optimization problems and applications: a survey. J Artif Intell Res 61:623–698 Fioretto F, Pontelli E, Yeoh W (2018) Distributed constraint optimization problems and applications: a survey. J Artif Intell Res 61:623–698
Zurück zum Zitat Huang P, Tan L (2009) Design and implementation of partially decentralized P2P Botnet control server. J Comput Appl 29(9):2446–2449 Huang P, Tan L (2009) Design and implementation of partially decentralized P2P Botnet control server. J Comput Appl 29(9):2446–2449
Zurück zum Zitat Koch M (2018) Artificial intelligence is becoming natural. Cell 173(3):531–533 Koch M (2018) Artificial intelligence is becoming natural. Cell 173(3):531–533
Zurück zum Zitat Liu B, Ding Z (2021) A consensus-based decentralized training algorithm for deep neural networks with communication compression. Neurocomputing 440:287–296 Liu B, Ding Z (2021) A consensus-based decentralized training algorithm for deep neural networks with communication compression. Neurocomputing 440:287–296
Zurück zum Zitat Lopes V, Alexandre L (2019) An overview of blockchain integration with robotics and artificial intelligence. Ledger Lopes V, Alexandre L (2019) An overview of blockchain integration with robotics and artificial intelligence. Ledger
Zurück zum Zitat Marr D (1977) Artificial intelligence—a personal view. Artif Intell 9(1):37–48 Marr D (1977) Artificial intelligence—a personal view. Artif Intell 9(1):37–48
Zurück zum Zitat McCloskey E (2009) The benefits of combining cohorts for mega-analysis. Bone 44:S205 McCloskey E (2009) The benefits of combining cohorts for mega-analysis. Bone 44:S205
Zurück zum Zitat Melnik E, Klimenko A, Ivanov D (2019) A blockchain-based technique for making swarm robots distributed decisions. J Phys: Conf Ser 1333:052013 Melnik E, Klimenko A, Ivanov D (2019) A blockchain-based technique for making swarm robots distributed decisions. J Phys: Conf Ser 1333:052013
Zurück zum Zitat Mitton N, Simplot-Ryl D (2014) Wireless sensor and robot networks. World Scientific Pub. Co., Singapore Mitton N, Simplot-Ryl D (2014) Wireless sensor and robot networks. World Scientific Pub. Co., Singapore
Zurück zum Zitat Neudecker T, Hartenstein H (2019) Network layer aspects of permissionless blockchains. IEEE Commun Surv Tutor 21(1):838–857 Neudecker T, Hartenstein H (2019) Network layer aspects of permissionless blockchains. IEEE Commun Surv Tutor 21(1):838–857
Zurück zum Zitat Ozturan C (2020) Barter machine: an autonomous, distributed barter exchange on the ethereum blockchain. Ledger 5 Ozturan C (2020) Barter machine: an autonomous, distributed barter exchange on the ethereum blockchain. Ledger 5
Zurück zum Zitat Panarello A, Tapas N, Merlino G, Longo F, Puliafito A (2018) Blockchain and IoT integration: a systematic survey. Sensors 18(8):2575 Panarello A, Tapas N, Merlino G, Longo F, Puliafito A (2018) Blockchain and IoT integration: a systematic survey. Sensors 18(8):2575
Zurück zum Zitat Peng P, Tian Y, Xiang T, Wang Y, Pontil M, Huang T (2018) Joint semantic and latent attribute modelling for cross-class transfer learning. IEEE Trans Pattern Anal Mach Intell 40(7):1625–1638 Peng P, Tian Y, Xiang T, Wang Y, Pontil M, Huang T (2018) Joint semantic and latent attribute modelling for cross-class transfer learning. IEEE Trans Pattern Anal Mach Intell 40(7):1625–1638
Zurück zum Zitat Portmann E (2018) Rezension “blockchain: blueprint for a new economy”. HMD Praxis der Wirtschaftsinformatik 55(6):1362–1364 Portmann E (2018) Rezension “blockchain: blueprint for a new economy”. HMD Praxis der Wirtschaftsinformatik 55(6):1362–1364
Zurück zum Zitat Sahil, Sood S (2021) Smart vehicular traffic management: an edge cloud centric IoT based framework. Internet of Things 14:100140 Sahil, Sood S (2021) Smart vehicular traffic management: an edge cloud centric IoT based framework. Internet of Things 14:100140
Zurück zum Zitat Schluse M, Priggemeyer M, Atorf L, Rossmann J (2018) Experimentable digital twins—streamlining simulation-based systems engineering for Industry 4.0. IEEE Trans Ind Inform 14(4):1722–1731 Schluse M, Priggemeyer M, Atorf L, Rossmann J (2018) Experimentable digital twins—streamlining simulation-based systems engineering for Industry 4.0. IEEE Trans Ind Inform 14(4):1722–1731
Zurück zum Zitat Sequeira P, Gervasio M (2020) Interesting elements for explainable reinforcement learning: understanding agents’ capabilities and limitations. Artif Intell 288:103367 Sequeira P, Gervasio M (2020) Interesting elements for explainable reinforcement learning: understanding agents’ capabilities and limitations. Artif Intell 288:103367
Zurück zum Zitat Shenoy M, Anupama KR (2018) Swarm-sync: a distributed global time synchronization framework for swarm robotic systems. Pervasive Mob Comput 44:1–30 Shenoy M, Anupama KR (2018) Swarm-sync: a distributed global time synchronization framework for swarm robotic systems. Pervasive Mob Comput 44:1–30
Zurück zum Zitat Singh A, Alshehri M, Majumdar P, Mohammed AA, Kumar M, Abugabah A, Algarni A (2021) Machine learning and deep learning approaches against botnet attacks on internet of things network. Soft Comput. doi: 10.1007/s00500-021-06240-z Singh A, Alshehri M, Majumdar P, Mohammed AA, Kumar M, Abugabah A, Algarni A (2021) Machine learning and deep learning approaches against botnet attacks on internet of things network. Soft Comput. doi: 10.1007/s00500-021-06240-z
Zurück zum Zitat Singh RR, Thakral M, Kaushik S, Jain A, Chhabra G (2022) A blockchain-based expectation solution for the internet of bogus media. In: Hemanth DJ, Pelusi D, Vuppalapati C (eds) Intelligent data communication technologies and Internet of Things. Lecture notes on data engineering and communications technologies, vol 101. Springer, Singapore. https://doi.org/10.1007/978-981-16-7610-9_28 Singh RR, Thakral M, Kaushik S, Jain A, Chhabra G (2022) A blockchain-based expectation solution for the internet of bogus media. In: Hemanth DJ, Pelusi D, Vuppalapati C (eds) Intelligent data communication technologies and Internet of Things. Lecture notes on data engineering and communications technologies, vol 101. Springer, Singapore. https://​doi.​org/​10.​1007/​978-981-16-7610-9_​28
Zurück zum Zitat Singh B, Sharma K, Sharma N (2020) Blockchain applications, opportunities, challenges and risks: a survey. SSRN Electron J Singh B, Sharma K, Sharma N (2020) Blockchain applications, opportunities, challenges and risks: a survey. SSRN Electron J
Zurück zum Zitat Special Issue: Blockchain and Artificial Intelligence Applications (2021) Blockchain and artificial intelligence applications 1(2) Special Issue: Blockchain and Artificial Intelligence Applications (2021) Blockchain and artificial intelligence applications 1(2)
Zurück zum Zitat Sureshkumar T, Vijayakumar D (2020) Security in IoT networks using blockchain technology. J Adv Res Dyn Control Syst 12(1):74–79 Sureshkumar T, Vijayakumar D (2020) Security in IoT networks using blockchain technology. J Adv Res Dyn Control Syst 12(1):74–79
Zurück zum Zitat Tran N, Chiang F, Li J (2012) Efficient cooperative backup with decentralized trust management. ACM Trans Storage 8(3):1–25 Tran N, Chiang F, Li J (2012) Efficient cooperative backup with decentralized trust management. ACM Trans Storage 8(3):1–25
Zurück zum Zitat Uriarte R, DeNicola R (2018) Blockchain-based decentralized cloud/fog solutions: challenges, opportunities, and standards. IEEE Commun Stand Mag 2(3):22–28 Uriarte R, DeNicola R (2018) Blockchain-based decentralized cloud/fog solutions: challenges, opportunities, and standards. IEEE Commun Stand Mag 2(3):22–28
Zurück zum Zitat van Oorschot P (2020) Blockchains and stealth tactics for teaching security. IEEE Secur Privacy 18(5):3–5 van Oorschot P (2020) Blockchains and stealth tactics for teaching security. IEEE Secur Privacy 18(5):3–5
Zurück zum Zitat Vimal S, Srivatsa S (2019) A new cluster P2P file sharing system based on IPFS and blockchain technology. J Ambient Intell Hum Comput Vimal S, Srivatsa S (2019) A new cluster P2P file sharing system based on IPFS and blockchain technology. J Ambient Intell Hum Comput
Zurück zum Zitat Wright C (2008) Bitcoin: a peer-to-peer electronic cash system. SSRN Electron J Wright C (2008) Bitcoin: a peer-to-peer electronic cash system. SSRN Electron J
Zurück zum Zitat Zhang X, Grannis J, Baggili I, Beebe N (2019) Frameup: an incriminatory attack on Storj: a peer to peer blockchain enabled distributed storage system. Digit Investig 29:28–42 Zhang X, Grannis J, Baggili I, Beebe N (2019) Frameup: an incriminatory attack on Storj: a peer to peer blockchain enabled distributed storage system. Digit Investig 29:28–42
Zurück zum Zitat Zheng X, Zhu M, Li Q, Chen C, Tan Y (2019) FinBrain: when finance meets AI 2.0. Front Inf Technol Electron Eng 20(7):914–924 Zheng X, Zhu M, Li Q, Chen C, Tan Y (2019) FinBrain: when finance meets AI 2.0. Front Inf Technol Electron Eng 20(7):914–924
Metadaten
Titel
Cybersecurity and Ethics for IoT System: A Massive Analysis
verfasst von
Manish Thakral
Rishi Raj Singh
Bharathi V. Kalghatgi
Copyright-Jahr
2022
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-19-1585-7_10

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