Internet of things by Mr.Pradeep_Kumar

Recent trends & Research area
Internet of Things
Pradeep Kumar K
Team Head
pradeeptalksense@gmail.com
INDIAN AVIATION TRADE
Padmanabha Nagar, Bangalore-70,
Karnataka, INDIA
https://indian-aviation-trade.in/

About Indian Aviation Trade
 IAT is a International Company Specialized in Civil & Defense Sector.
 Our core objective is to provide world class standardized Products & services of
OEM’s of India.
 We have a special team under advanced aviation & aerospace who works
innovatively.
 Vision: Deliver Highest quality of aerospace engineering, consulting, repair
maintenance and overhall services to Indian SME’s with the addition of exchange
of technologies among companies.
29-06-2020Dept. of Research & Innovation, IAT
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Contents
 Introduction to IoT, Anatomy,
 Architecture & Application of IoT,
 Challenges of IoT
 Research Direction
 Ratio of IoT user
 Platforms for IoT Development,
 Future IoT
 Conclusion
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Introduction
What is IoT? (3A concept)
‘‘3A concept: anytime, anywhere and any media, resulting into
sustained ratio between radio and man around”
Ref: Srivastava, L., 2006. Pervasive, ambient, ubiquitous: the magic of radio. In:
Proceedings of European Commission Conference ‘‘From RFID to the Internet of
Things, Bruxelles, Belgium.
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Anatomy of smart Innovation Using Internet

Have you ever thought of this around you…?
(Research)
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From Online Market to Offline
Market

Architecture of IoT
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Applications of IoT
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Challenges of IoT
Interoperability and Standards
Technical and Cost Constraints
Regulation and Policy Issues
IoT Data Protection
IoT Device Liability
IoT Security & Privacy
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Compatibility and Interoperability of Different
IoT systems
 40% to 60% of the total values lies on the ability to achieve interoperability
between different IoT systems.
 With numerous vendors, OEMs, and service providers, it becomes really difficult
to maintain interoperability between different IoT systems.
 Not every machine is equipped with advanced sensors and networking capabilities
to effectively communicate and share data.
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Identification and Authentication of Technologies
 20 billion connected devices at present, and to connect all the devices involves a
lot of security risks and not just complexity.
Challenges of IoT

Integration of IoT Products with IoT Platforms
 Integrate various IoT connected products with right IoT platforms.
 Lack of proper integration could lead to abnormalities in functions
and efficiency to deliver value to the customers.
 It is vital to understand integration is a crucial IoT competency.
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Connectivity
 A global mobile satellite company Inmarsat revealed that 24% finds
connectivity issue as the one of the biggest challenges in IoT
deployment.
 The quality of signals collected by the sensors and to transmit over
to the Networks largely depend upon the routers, LAN, MAN, and
WAN.
Challenges of IoT

Handling Unstructured Data
 Growing connected devices will increase the challenges of handling unstructured data on
the parameters of volume, velocity, and variety.
 80% of today’s data is unstructured data and so the data cannot be stored in SQL format.
The unstructured data is stored in NoSQL format makes retrieval of data a bit complex.
 Hadoop and Cassandra, helped in handling unstructured data which has somewhat reduced
in complexity of Data.
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Data Security and Privacy Issues
A latest research claims that by 2020, 25% of cyber attacks will target IoT devices.
•Malware infiltration: 24%
•Phishing attacks: 24%
•Social engineering attacks: 18%
•Device misconfiguration issues: 11%
•Privilege escalation: 9%
•Credential theft:6%
Challenges of IoT

Intelligent Analytics
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Image Source: Dimensional Research
Challenges of IoT

Research Directions
Energy efficient secure algorithms for edge devices
End to end data encryption technique to avoid
vulnerability at Gateways
Inter-fog resource sharing to avoid fog to cloud
communication for processing at heavy load
AI and ML at Fog for identifying retain /discard/shift the
data
Data analytics with predictive system for identifying
attacks
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Research Directions contd.,
Privacy preservation with fake /redundant data
Privacy management through policies
Privacy management through policy awareness to users
Privacy management through user control :
○ Access control request through user
○ Enable /disable service when not necessary
Privacy management in the network :
○ In network processing and redundant information
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Energy efficient secure algorithms for edge devices
 To reach the goal of building Edge Computing architectures for Smart Energy
environments, several lines of research have been defined.
 In the future, such architectures will overcome current problems, becoming highly
energy-efficient, cost-effective, and capacitated to process and respond in real-
time.
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End to end data encryption technique to avoid
vulnerability at Gateways
 Gateways are an important part of an IoT ecosystem but are a
vulnerable, single point of hackability.
Research Directions

Inter-fog resource sharing to avoid fog to cloud
communication for processing at heavy load
 Centralised data-centres (a.k.a. Cloud computing), becomes impractical solution
for IoT data due to the long distance between the data source and designated data-
center.
 Network topology have been evolved to permit data processing at the edge of the
network, introducing what so-called “Fog computing”.
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AI and ML at Fog for identifying retain /discard/shift the data
 concepts like the truly connected car, super-smart home, cutting-edge next-
generation retail business, and digital industries with the inclusion of artificial
intelligence (AI) and machine learning (ML)
Research Directions

Data analytics with predictive system for identifying
attacks
 Attack and anomaly detection in the Internet of Things (IoT)
infrastructure is a rising concern in the domain of IoT.
 Denial of Service, Data Type Probing, Malicious Control, Malicious
Operation, Scan, Spying and Wrong Setup are such attacks and
anomalies which can cause an IoT system failure.
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Privacy preservation with fake /redundant data
 privacy is a core requirement in any IoT ecosystem and is a major
concern that inhibits its widespread user adoption.
Research Directions

Ratio of IoT user each year
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PLATFORMS FOR IOT DEVELOPMENT
 DeviceHive: open-source, scalable, hardware and cloud-agnostic microservice-
based IoT data platform with a wide range of device integration options.
 Kaa: highly flexible, multi-purpose, open-source middleware platform for
implementing complete end-to-end IoT solutions,
 Mainflux: Mainflux is modern, scalable, secure, open-source, and patent-free IoT
cloud platform written in Go.
 Mocana: IoT Platform is an embedded security software solution which helps
software developers to minimise the time to integrate strong security controls into
the embedded applications.
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PLATFORMS FOR IOT DEVELOPMENT
 Macchina.io: application software platform for IoT devices. It provides a web-
enabled, secure, modular and extensible C++ and JavaScript IoT application
environment on top of Linux, consisting of middleware, protocols and rich APIs.
 Thinger.io: cloud IoT Platform that provides necessary tools to prototype, scale
and manage connected products in a very simple way.
 ThingSpeak: IoT analytics platform service that allows you to aggregate,
visualise and analyse live data streams on the cloud and provides instant
visualisations of data posted by your devices to ThingSpeak. Some of the key
capabilities of ThingSpeak include the ability to configure devices to send data
using popular IoT protocols, aggregate data on-demand from third-party sources,
 Zetta: open-source platform built on Node.js for creating Internet of
Things servers that run across geo-distributed computers and the cloud.
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Future Funny Innovations Ideas in future from
IoT
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Funny Innovations Ideas in future from IoT

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Funny Innovations Ideas in future from IoT

Security Threats
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Conclusions
Internet of Things are having major role in future to
collect the sense and monitor environment
There are wide variety of applications for Internet of
Things
Security and Privacy are major concerns
Further research in the area of application level , system
level like edge, fog, cloud etc are required
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Webinars, FDP & hands-on Concurrently
organized are
 Python Application Programming
 MEMS Antenna Design
 Embedded Systems
 Microcontroller for UG students Circuit Branch.
 How to write thesis
 How to publish a journal paper
 Selecting a good journal for having good reference
 List of UGC/Scopous with good impact factor etc.
 Many more domains for all Technical departments.
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