Knowledge Tree
IoT
Also known as: internet of things, Internet of Things, IIoT
Facts (21)
Sources
Cybersecurity Trends and Predictions 2025 From Industry Insiders itprotoday.com 5 facts
perspectiveFortifying supply chains, adopting IoT standards, and leveraging AI are essential strategies for organizations to maintain cybersecurity in 2025.
claimThe integration of IT, IoT, and OT devices increases the threat of custom malware targeting critical infrastructure, similar to the targeting of perimeter devices.
claimBotnets and opportunistic IoT malware currently include capabilities such as infection via well-known OT credentials.
claimThe increasing use of Internet of Things (IoT) devices requires the adoption of industry-wide standards to prevent the weaponization of devices in DDoS attacks and security breaches.
claimRik Ferguson, vice president of security intelligence at Forescout, asserts that as IoT adoption grows, supply chain risks escalate, necessitating that organizations secure every step of the production and distribution process.
A Comprehensive Review of Neuro-symbolic AI for Robustness ... link.springer.com Dec 9, 2025 3 facts
procedureResearch in neuro-symbolic AI should emphasize developing real-time control systems for robotics and IoT environments, specifically focusing on interpretable feedback mechanisms and safe failure modes.
claimThe integration of neuro-symbolic AI with Big Data and IoT frameworks offers a pathway toward scalable, interpretable, and context-aware intelligence.
claimNanehkaran et al. bridged IoT health data and recommendation systems using machine learning, though future improvements may require symbolic medical ontologies for explainable diagnosis.
Active Electronic Components Market Size 2024-2028 - Technavio technavio.com 2 facts
claimThe growth of the active electronic components market is driven by the rising demand for Internet of Things (IoT) devices and the increasing need for renewable energy sources.
claimThe semiconductor industry is experiencing rapid growth driven by the development of microelectromechanical systems (MEMS) and the Internet of Things (IoT).
Free and open-source software - Wikipedia en.wikipedia.org 1 fact
claimThe European Commission stated in 2017 that EU institutions should become open source software users and listed open source software as one of nine key drivers of innovation, alongside big data, mobility, cloud computing, and the internet of things.
Business ecosystems as a way to activate lock-in in business models link.springer.com Mar 28, 2025 1 fact
referenceSorri published the work 'Bridging the gap at Ecosystem Level. Enhancing Business Model Innovation in Internet of Things-Enabled Platform Ecosystems' in 2023.
Active Electronic Components Market Size Report, 2030 grandviewresearch.com 1 fact
claimThe growth of the Internet of Things (IoT) and increasing reliance on renewable energy sources are driving demand for active electronic components.
Supply Chain 4.0: A Survey of Cyber Security Challenges, Solutions ... bohrium.com Nov 6, 2020 1 fact
referenceThe technologies underpinning Supply Chain 4.0 include blockchain, smart contracts, artificial intelligence, cyber-physical systems, the Internet of Things (IoT), and the Industrial Internet of Things (IIoT).
Study about the impact of open source software and hardware on ... opensourcelab.stanford.edu 1 fact
claimIf Open Source Hardware (OSH) follows the same development trajectory as Open Source Software (OSS), it could become a cornerstone of the future Internet of Things (IoT), the future of computing, and the digital transformation of the European industry by the end of the digital decade, according to a report published on 06 September 2021.
Exploring Open-Source Software Ecosystems for Hardware ... link.springer.com May 1, 2024 1 fact
claimProprietary hardware devices, including WiFi routers, Internet of Things (IoT) devices, printers, smart home devices, industrial control systems, surveillance cameras, and medical devices, may share the same security and maintenance shortcomings as Smart TVs.
In the age of Industrial AI and knowledge graphs, don't overlook the ... symphonyai.com Aug 12, 2024 1 fact
claimIndustrial knowledge graphs support performance analytics by combining asset hierarchies with time series, IIoT, and CMMS data to generate KPIs such as OEE, process and energy efficiency, mass and energy balance, mean-time-between-failure, and mean-time-to-repair.
Rethinking Espionage in the Modern Era cjil.uchicago.edu 1 fact
measurementThe McKinsey Global Institute projects that the Internet of Things could encompass up to 11% of the global economy by 2025.
Does the combination of sustainable business model patterns lead ... link.springer.com Feb 20, 2023 1 fact
referenceBocken et al. (2019) note that car sharing companies can leverage Internet of Things (IoT) technologies to warn users about careless driving behavior, thereby mitigating risks of extra fees.
Study about the impact of open source software and hardware ... digital-strategy.ec.europa.eu Sep 2, 2021 1 fact
claimOpen Source Hardware could become a cornerstone of the future Internet of Things, the future of computing, and the digital transformation of the European industry if it follows the development trajectory of Open Source Software.
Call for Papers: Special Session on KR and Machine Learning kr.org 1 fact
claimThe Special Session on KR and Machine Learning at KR2022 welcomes papers on topics including learning symbolic knowledge (ontologies, knowledge graphs, action theories, commonsense knowledge, spatial/temporal theories, preference/causal models), logic-based/relational learning algorithms, machine-learning driven reasoning, neural-symbolic learning, statistical relational learning, multi-agent learning, symbolic reinforcement learning, learning symbolic abstractions from unstructured data, explainable AI, expressive power of learning representations, knowledge-driven natural language understanding and dialogue, knowledge-driven decision making, knowledge-driven intelligent systems for IoT and cybersecurity, and architectures combining data-driven techniques with formal reasoning.