In der heutigen digitalen und vernetzten Welt werden nahezu überall unzählige Daten erzeugt und ausgetauscht. Weltweit sollen bis 2022 über 50 Milliarden Geräte und Sensoren über das Internet der Dinge verbunden sein. Die Komplexität des Gesamtsystems steigt kontinuierlich. Klassische Sicherheitslösungen stoßen an ihre Grenzen. Sie errichten möglichst hohe Schutzwälle um die Daten: Applikationen und Infrastrukturen sollen den Datenschutz sicherstellen. Dabei verschlüsselt die Sicherheitstechnik die Daten nicht sofort, wenn diese erzeugt werden, sondern erst nachgelagert.
An Open Source, Micro Development Kit for IoT Applications | via https://www.reddit.com/r/sysadmin/comments/9xveq5/rogue_raspberrypi_found_in_network_closet_need/
With a global community of developers, entrepreneurs, corporate executives, government officials, philanthropists, hobbyists, and general enthusiasts contributing to the IOTA project, the IOTA Ecosystem is a platform for this community to meet, collaborate, learn, inspire, develop and build.
In this paper we analyze the mathematical foundations of IOTA, a cryptocurrency for the Internet-of-Things (IoT) industry. The main feature of this novel cryptocurrency is the tangle, a directed acyclic graph (DAG) for storing transactions. The tangle naturally succeeds the blockchain as its next evolutionary step, and offers features that are required to establish a machine-to-machine micropayment system.
The IOTA protocol is a Distributed Ledger Technology developed by the IOTA Foundation. It is a next-generation technology designed from the ground up to be the data and value transfer layer for the Machine Economy.
Was Microsoft für die Zukunft der Software hält und begeistert auf der Entwicklerkonferenz Build 2017 vorstellt, findet heise-online-Redakteur Fabian Scherschel einfach nur gruselig.
Sai, Settipalli, Sheshuvardhan, and Vannurappagari. International Journal of Innovative Research in Information Security, 09 (2):
39-44(May 2023)1. Gas booking system using VB software, Microcontroller and Gas Leakage Detection with SMS by Dr.D.B.Kadam,Sumedha shashikanth patil, Akshay Ananda Kumbhar, Rohit Ankush Tandle. 2. Gas Leakage Detection based on IoT using Raspberry Pi by Deepthi Miriyampalli , Ponnuri Anil Kumar , Abdul Khadir Shaik , Ravichandra Vipparla , Komalphanindra Potineni. 3. LPG Gas Leakage Detection System with GSM Module by Alan M John , Bhavesh Purbia , Ankit Sharma , Mrs. A.S Udapurkar. 4. Gas Leakage Detection Using GSM Module & Arduino with SMS Alert by Mr. Sivaprasad Lebaka, M. Ganga Rami Reddy,K. Devi Priya, N.V. Charan, N.V. Charan. 5. Gas Leakage Detection, prediction & Alert System Using Raspberry Pi & cloud computing by Pranav Mani Tripathi, Saket Kumar, Saksham Kumar, Veeresh Bhalke , Prof. Vidyashree K. 6. IoT Gas Leakage Detector and Warning Generator by Bader Farhan Alshammari , Muhammad Tajammal Chughtai. 7. J.Ding, J.Wang, N.Yuan, and Q.Pan, “The Monitoring System of Leakage Accidents in Crude Oil Pipeline based on Zigbee Technology”, IEEE Changzhou University. https://doi.org/10.1109/mace.2011.5987303.