Security and privacy challenges in industrial Internet of Things

By Ahmad-Reza Sadeghi, C. Wachsmann, Michael Waidner. Design Automation Conference, 2015

902 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Hardware and Architecture, Signal Processing

View Paper: https://www.semanticscholar.org/paper/f300d9cb32b5829d97ca866f4251d895a6d0fce7

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Citations in the corpus

Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges (2020, background): “Other surveys focused on industrial IoT [32], Smart Grid [37], or Smart Home [34].”
A Survey on Information and Communication Technologies for Industry 4.0: State-of-the-Art, Taxonomies, Perspectives, and Challenges (2019, background): “The complexity of these systems and the potential impact of cyberattacks exacerbates the risk [269], [270].”
IoT Privacy and Security: Challenges and Solutions (2020, background): “Moreover, the authors in [11] describe the currently embedded mobile and cyber-physical systems as ubiquitous, from industrial control systems, modern vehicles to critical infrastructure.”
Machine Learning in IoT Security: Current Solutions and Future Challenges (2019, background): “Through social engineering, the attackers may manipulate users to gain physical access to the devices [34], [35].”
Industrial Internet of Things: Challenges, Opportunities, and Directions (2018, background): “To address privacy and security threats in IIoT, one can argue for a holistic approach as pointed out in [106].”
The Internet of Things, Fog and Cloud Continuum: Integration and Challenges (2018, background): “Finally, security aspects, often mentioned as key issues to safeguard the integrity of the Industrial Internet of Things [171], will need to be considered extensively.”
Internet of Things (IoT) Cybersecurity Research: A Review of Current Research Topics (2019, methodology): “space, processor time, and configuration information outages are all potential channels for DoS attacks [4], [22]–[24].”
A Survey on Emerging SDN and NFV Security Mechanisms for IoT Systems (2019, background): “Other surveys deeply discuss security features for precise IoT application domains, such as smart grids [78], [79], vehicular networking [80], and Industrial Internet [81], [82].”
A Systematic Survey of Industrial Internet of Things Security: Requirements and Fog Computing Opportunities (2020, methodology): “At the same time, remote attestation methods implemented purely in software typically have to rely on very strong assumptions that are hard to achieve in practice [17].”
Hardware-Assisted Intellectual Property Protection of Deep Learning Models (2020, background): “In addition to providing stronger security guarantees than their software counterparts, hardware-assisted protection mechanisms also incur signiﬁcantly lower performance overhead [9], [20].”
Edge-computing-driven Internet of Things: A Survey (2022, background): “In addition, the confidentiality of critical data and the protection of personal privacy data are vital areas of IoT security [149].”
Blockchain's adoption in IoT: The challenges, and a way forward (2019, background): “Hence, no operation in an IoT system can be termed safe unless the integrity of the code installed on the IoT device and the integrity of the data being shared between devices is ensured [41].”
A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective (2018, background): “I-IoT systems valuable targets for attackers [2], [14], [105], [121]–[126].”
A Survey of IoT-Enabled Cyberattacks: Assessing Attack Paths to Critical Infrastructures and Services (2018, methodology): “The strategy followed in our work is conceptually closer to [26], [29], and [33].”
Internet of things security: A top-down survey (2018, methodology): “• Finally, provide a comparison of the enumerated approaches [105] based to some parameters; and investigate the possibility of applying such approach on a given IoT application.”