IoT Security: Ongoing Challenges and Research Opportunities

By Zhi-Kai Zhang, Michael Cheng Yi Cho, Chi-Wei Wang, Chia-Wei Hsu, C. Chen, S. Shieh. IEEE International Conference on Service-Oriented Computing and Applications, 2014

638 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Signal Processing

View Paper: https://www.semanticscholar.org/paper/84c4fc22fec1656633e8dabe583bb3de23a09ea6

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In Signal Processing

Citations in the corpus

Robust Malware Detection for Internet of (Battlefield) Things Devices Using Deep Eigenspace Learning (2019, background): “Intrusion and malware detection and prevention are two active research areas [1], [2], [3], [4], [5].”
Network Intrusion Detection for IoT Security Based on Learning Techniques (2019, background): “[56]; they detail IoT security challenges such as Object identification, Authentication and IoT privacy, etc.”
Security for 5G and Beyond (2019, background): “Devices with limited computation, battery and storage capacities, could potentially act as malicious bots in a network [326].”
Internet of Things (IoT) Cybersecurity Research: A Review of Current Research Topics (2019, background): “The realization of IoT technology is based on infrastructure and high-end technology [78].”
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics (2016, background): “It worsens them: distilled data that is stored or sent over the network at several stages of the analytics pipeline is even more privacy-sensitive than the raw data stream [3], [4].”
IoT Elements, Layered Architectures and Security Issues: A Comprehensive Survey (2018, background): “There is a need of such a mechanism by which these challenges can be solved [127].”
Industrial Internet of Things: Challenges, Opportunities, and Directions (2018, background): “DNS can provide name translation services to the Internet user, however, it is in an insecure way which remains vulnerable to various attacks by deliberated adversary [108].”
Security and Privacy in Smart Farming: Challenges and Opportunities (2020, background): “Extensive research on secure IoT devices [13]–[15], smart vehicles [16]–[19], drones [20], [21], edge cloud [22]–[24], wireless communication [25]–[27] is already available and might be extended to the smart farming ecosystem.”
Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches (2019, background): “In this way, malicious one can control the whole system [19,20] .”
A gap analysis of Internet-of-Things platforms (2015, background): “Meanwhile, for more comprehensive discussions on the other security, privacy and trust challenges pertaining to IoT platforms, we invite the interested readers to refer to [14, 15, 16, 17].”
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security (2018, background): “New research areas and their possible solutions are likewise previously discussed in [39].”
IoT security: Review, blockchain solutions, and open challenges (2017, background): “[21] discusses major IoT security issues in terms of unique identificaiton of objects, authentication and authorization, privacy, the need for lightweight cryptographic procedures, malware, and software vulnerabilities.”
Context-Aware Computing, Learning, and Big Data in Internet of Things: A Survey (2018, background): “Zhang et al. [68] summarized ongoing research studies in IoT security with the following topics: object identiﬁcation, authentication, authorization, privacy, lightweight cryptosystems and security protocols, software vulnerability, backdoor analysis, and malware in IoT.”