The document discusses the Internet of Things (IoT), which refers to a wireless network connecting everyday objects through sensors. As IoT becomes more prevalent in 2014, more devices will be connected and able to communicate data to each other and data centers wirelessly. This will generate huge amounts of data requiring advanced analytics and cloud computing to extract insights. Successfully implementing IoT will require addressing challenges involving security, system architecture, data management, scaling, and privacy. The author intends to focus on security issues.

1. Name : ABHINESH KUMAR
E-mail : abhineshk47@gmail.com
Twitter Id : @ABHINESHK47
University : MNNIT Allahabad
Year/Semester : 3yr/6 SEM
Branch : Computer Science And
Engineering

2.  The Internet of Things, also called The
Internet of Objects, refers to a wireless
network between objects, usually the
network will be wireless and self-
configuring, such as household
appliances.
 The term "Internet of Things" has come
to describe a number of technologies
and research disciplines that enable the
Internet to reach out into the real world
of physical objects.

3.  From Hype to Reality : In 2014 IoT will become real
with the ubiquity of connectivity and proliferation of
devices, and wearable computing. Automakers lead the
way by embedding smart systems in cars.
 Wireless Sensors and Devices : They are getting
smaller, smarter, and cheaper….and there are billions
of them….producing billions of data points.
 Machine to Machine (M2M) : Sensors and devices
talking to each other and data centers via wireless
communications.
 IOT Apps : New apps required to integrate sensor
based data into business applications

4.  Big Data to get Bigger : These ‘things’ (sensors, chips,
computers) will produce even more data than we have
now, taxing our already complex enterprise Information
Management systems.
 Clouds Required : Aggregating all this big data and
acting on its findings will best be achieved by
capturing, analyzing and responding from the cloud.
 IoT Analytics : Advanced analytics and dashboards will
be needed to provide insights from all the ‘things’.
 New Business Processes Required : IoT enables new
automated sense and respond systems, disrupting
traditional processes.

5.  Security
 Achitecture and dependencies
 Creating knowledge and big data
 Robustness
 Openness
 Massive scaling
 Privacy
 Human in the loop
I intendtoworkonSecurity