IoT
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The document discusses the Internet of Things (IoT), highlighting its origins, applications, and recent relevance due to advancements in technology such as mobile devices and cloud computing. It addresses market trends across various sectors like logistics, healthcare, and retail, as well as emerging technology trends including RFID and real-time analytics. Additionally, the document emphasizes the role of cloud computing in IoT while presenting new data security challenges and a proposed solution involving fog computing.
IoT
- 1. Name :Sushmitha S.Walvekar E-mail id :sushmitha.s.walvekar@gmail.com Twitter id :@SushmithaMH University:Visvesvaraya Technological University Semester :8th semester Branch :Information Science Engineering INTERNET OF THINGS
- 2. The IOT concept was coined by a member of the Radio Frequency Identification (RFID) development community in 1999, and it has recently become more relevant to the practical world largely because of the growth of mobile devices, embedded and ubiquitous communication, cloud computing and data analytics. “Internet of Things” to refer to the general idea of things, especially everyday objects, that are readable, recognisable , locatable, addressable, and/or controllable via the Internet, irrespective of the communication means. “Things” refers to People Location (of objects) Time Information (of objects) Condition (of objects) INTRODUCTION
- 3. Market trends: In the logistics and supply chain In healthcare In smart grid and metering In automotive transportation In retail business Technology trends: Miniaturisation of devices Radio Frequency Identification (RFID) Internet Protocol version 6 (IPv6) Increasing communication throughput and lower latency Real-time Analytics Cloud Computing Security and Privacy EMERGING TRENDS IN IoT
- 4. • Cloud computing: Cloud computing is one of the enabling platforms to support IOT. Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Securing the cloud using decoy information technology known as Fog computing. Here we monitor data access in the cloud and detect abnormal data access patterns. When unauthorized access is suspected and then verified using challenge questions, we launch a disinformation attack by returning large amounts of decoy information to the attacker. This protects against the misuse of the user’s real data AREAS OF INTEREST