Cyber Security and Privacy Issues in Industrial Internet of Things

Jhanjhi, N. Z.; Humayun, Mamoona; Almuayqil, Saleh Naif

doi:10.32604/csse.2021.015206

Cited by 43 publications

(12 citation statements)

References 60 publications

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“…Cvitić et al [ 109 ] presented a model to detect DDoS traffic and identify IoT devices that were categorized into four different classes. Jhanjhi et al [ 110 ] proposed a solution to analyse cybersecurity privacy challenges by understanding the current state of cybersecurity. Ahmed et al [ 112 ] discussed various aspects of cybersecurity in IoT networks and analysed MLP, CNN, LSTP, and AI/ML models.…”

Section: Cybersecurity In Smart Citiesmentioning

confidence: 99%

Cybersecurity and Cyber Forensics for Smart Cities: A Comprehensive Literature Review and Survey

Kim

Alshenaifi

Ramachandran

et al. 2023

Sensors

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Smart technologies, such as the Internet of Things (IoT), cloud computing, and artificial intelligence (AI), are being adopted in cities and transforming them into smart cities. In smart cities, various network technologies, such as the Internet and IoT, are combined to exchange real-time information, making the everyday lives of their residents more convenient. However, there is a lack of systematic research on cybersecurity and cyber forensics in smart cities. This paper presents a comprehensive review and survey of cybersecurity and cyber forensics for smart cities. We analysed 154 papers that were published from 2015 to 2022 and proposed a new framework based on a decade of related research papers. We identified four major areas and eleven sub-areas for smart cities. We found that smart homes and the IoT were the most active research areas within the cybersecurity field. Additionally, we found that research on cyber forensics for smart cities was relatively limited compared to that on cybersecurity. Since 2020, there have been many studies on the IoT (which is a technological component of smart cities) that have utilized machine learning and deep learning. Due to the transmission of large-scale data through IoT devices in smart cities, ML and DL are expected to continue playing critical roles in smart city research.

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Section: Cybersecurity In Smart Citiesmentioning

confidence: 99%

Cybersecurity and Cyber Forensics for Smart Cities: A Comprehensive Literature Review and Survey

Kim

Alshenaifi

Ramachandran

et al. 2023

Sensors

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“…Data breach in military AI systems due to cyber security threats can jeopardize an entire country's safety [38 -40]. Cybersecurity is a critical issue overall for all the domains, [41][42][43][44][45][46] including the industry 4.0, bigdata application, smart cities, military applications, etc. Cybersecurity threats are several in number however, most of the literature group them in top ten threads [47][48][49] which have more impact on different domain, and researchers proposed different secure frameworks as well.…”

Section: Cybersecurity Threats Due To Military Artificial Intelligencementioning

confidence: 99%

Artificial Intelligence and Military Applications: Innovations, Cybersecurity Challenges & Open Research Areas

Jayakumar¹,

Brohi²,

Jhanjhi³

2021

Preprint

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Over the years, Artificial Intelligence (AI) has seen a steady progress in development and evolution that can aid many sectors. Today, AI plays an essential role in the Fourth Industrial Revolution, and it is making its way into the military sector as well. Many countries are actively looking into AI military technology. Some of these innovations include image recognition, text analysis, Self-driving vehicles (SDV), gaming, robotic process automation (RPA) & Robotic and Autonomous Systems (RAS), and Autonomous Weapons Systems (AWS). In this research, we discuss the advantages of each innovation mentioned and analyze the many different cybersecurity threats that awaken due to military artificial intelligence systems. We then discuss the open research areas to better improve the current state of military artificial intelligence applications in terms of ethics, system security, proper strategy plan, accepted responsibility matrix, and introduction of relevant laws.

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“…1. As a result, crop rotation expert systems are developed short, mid, and long-term crop rotation plans [13]. All three plans feature yield, water, fertilizer, insecticides, and profit estimates in addition to suggested agricultural actions.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy-HLSTM (Hierarchical Long Short-Term Memory) for Agricultural Based Information Mining

Alattab¹,

Ibrahim²,

Irshad³

et al. 2023

Computers, Materials &Amp; Continua

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This research proposes a machine learning approach using fuzzy logic to build an information retrieval system for the next crop rotation. In case-based reasoning systems, case representation is critical, and thus, researchers have thoroughly investigated textual, attribute-value pair, and ontological representations. As big databases result in slow case retrieval, this research suggests a fast case retrieval strategy based on an associated representation, so that, cases are interrelated in both either similar or dissimilar cases. As soon as a new case is recorded, it is compared to prior data to find a relative match. The proposed method is worked on the number of cases and retrieval accuracy between the related case representation and conventional approaches. Hierarchical Long Short-Term Memory (HLSTM) is used to evaluate the efficiency, similarity of the models, and fuzzy rules are applied to predict the environmental condition and soil quality during a particular time of the year. Based on the results, the proposed approaches allows for rapid case retrieval with high accuracy.

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Cyber Security and Privacy Issues in Industrial Internet of Things

Cited by 43 publications

References 60 publications

Cybersecurity and Cyber Forensics for Smart Cities: A Comprehensive Literature Review and Survey

Cybersecurity and Cyber Forensics for Smart Cities: A Comprehensive Literature Review and Survey

Artificial Intelligence and Military Applications: Innovations, Cybersecurity Challenges & Open Research Areas

Fuzzy-HLSTM (Hierarchical Long Short-Term Memory) for Agricultural Based Information Mining

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