internet of things · 2019-11-27 · --october 29. 2015 computer weekly: data set to grow 10-fold...

1 | Copyright © 2019

SAFEGUARDING THE INTERNET OF THINGS

Managing the cyber challenges of today

November 2019


What is IOT?


THE EDGE


INTERNET OF THINGS /ˈɪn·tərˌnet ɑv θɪŋ/: the network of physical elements and their virtual identities that collectively capture quality data, analyze insightful information, and trigger actionable decisions for optimal outcome


IOT: END TO END SOLUTIONS THAT DRIVES BUSINESS INNOVATION & VALUE Internet of Things refers to a world of intelligent, connected devices generating data for use in new services where these devices generate actionable insights or triggers that enable value creation through new business processes and business model innovation opportunities

5

Business Process & Business Model Innovation

Sensors NetworksDevices Platforms Data Applications & Analytics


MAKING SENSE OF THE BUZZWORDS

Internet of Things (IoT) refers to a world of intelligent, connected devices generating data for use in new services, where intelligent devices generate actionable insights or triggers based on input stimuli

INPUTS

Environmental stimuli

Remote control

Trigger from another connected device

INTELLIGENT DEVICE

OUTPUTS

Senses

Learns / Adapts

Reports

Communicates

Usage Data to Device / 3rd Party

Usage Report to User

Command for Another Connected Device


WHAT HAPPENS IN AN INTERNET MINUTE?


$1.3BPotential growth in

worldwide IoT sensor

deployment for CRE

by 2020

5.5MNew things connected

to the network each

day

20.8BThe estimated

number of connected

devices by 2020

10%The percentage of

global data

produced by

machines by 2020

1/3Enterprises

reporting the use

IoT, with another

third planning to do

so

REALITY OF IOT MAY BE BETTER THAN JUST A ‘BUZZ’ OR ‘HYPE’

http://www.agileinsights.com/content/pdfs/mjeffery%20Handbook%20ROI%20Chapter%20v3.pdf

Gartner: “Forecast: Internet of

Things, endpoints and associated

services, Worldwide, 2015”

--October 29. 2015

Computer Weekly: Data set to

grow 10-fold by 2020 as Internet of

Things takes off”

--April 9, 2014

Gartner Press Release: “Gartner

Says 6.4 Billion Connected ‘Things’

Will Be in Use in 2016, Up 30

Percent From 2015”

Gartner Press Release: “Gartner

Says 6.4 Billion Connected ‘Things’

Will Be in Use in 2016, Up 30

Percent From 2015”

Forrester: Predictions 2016:

IoT's Impact Inside Companies

–November 16, 2015


IOT Use cases


SOME WAYS INDUSTRIES ARE ALREADY THINKING BIG WITH IOT

Below are some of the use cases we have compiled of how enterprises across industries are driving value and making an impact through IoT applications

FINANCIAL SERVICES

ENERGY & RESOURCESAUTO / TRANSPORTATION

LIFE SCIENCESMANUFACTURING

MILITARY SMART CITIES

RETAIL

Smart Grid (multiple)

Wellhead optimization

Autonomous Mining

Perf-based Insurance

Personalized risk profiles

Retail banking

Clinical Trials

Patient Experience

Medical Equipment Tracking and Diagnostics

Remote Monitoring

Inventory Management

Supply Chain Management

Predictive Maintenance

Supply Chain Optimization

Equipment Tracking

Fleet Tracking

Automate Workflows

Personnel Safety

Connected battlefield

Supply chain

Smart lighting

Smart parking

Smart waste

Dealership of the future

Remote diagnostics

Fleet management

Autonomous vehicle

iBeacon and Proximity Based Consumer Marketing

Reimagined Brick and Mortar Store

Personalized Analytics

Intelligent Replenishment

Supply Chain Management

Memorable Experiences


IOT SMART STORE – DELIVERING AMAZING SHOPPING EXPERIENCES

Wayfinding using app

Shopping List Mapping with aisle numbers • User enters the shop, the app automatically detects his

location inside the store and populates path to products listed in the Shopper’s shopping list’

Shopping Carts with Tablets & Sensors

Displaying relevant ads and coupons based on gender• Monitors footfall and starts ads in loop• Facial recognition (male/female) and show relevant ads• Direct interaction with Smart phone using Bluetooth

technology and receive coupons immediately

Smart shelves with inbuilt small displays• Show detailed information/coupons about the product when

shopper picks a product from the shelf• If product is not replaced back by customer, send the info. to

backend retail app

Cart with in-built tablets, sensor and payment system • Alerting shoppers to promotions and suggestions as they

browse the aisles• Cart senses all the products in the product and calculates

total cost before existing the store.• User pays using the cart before leaving the store

• Location Sensor

• Wi-Fi network

• Retailer’s

shopping app

• Motivate users to populate their shopping list

and use retail apps.

• Enhance customer relation and provide great

experience

Smart Displays

Smart Shelves

• Sensor

• Bluetooth

• Intelligence

software

• Infra-red sensor

• Bluetooth

• Intelligence

software

• Location Sensor

• RFID

• Bluetooth

• Payment

software

• Targeted marketing and promote impulsive

buying .Insights on messaging effectiveness

• Introduce new products to targeted audience

• Display products ranges that can not be all

displayed on the shelf but are present in

warehouse

• Insights on messaging effectiveness, call to

action using real time shopper data

• Reduce time lag for shelf replenishment and

improves shelf space management

• Gain insights on product sales and use real time

data to improve inventory management

• Targeted marketing at POS and increase cross

selling

• Reduce payment stations, human effort and

decrease wait on queue time

• Improve inventory management by automating

data flow from sales to back-end applications

Sub U

se-c

ases


CUSTOMER JOURNEY – MEET JESSY

Jessy enters the retail store for shopping.

Retailer’s app sync the existing shopping list, wish list etc on Jessy’s mobile to Aisle location using location sensor data

Jessy picks up the Smart Cart and she goes to the Aisle The tablet on the cart shows her relevant information about the products on the Aisle using location sensors

Jessy is in the cooking section and picks up a spice. Tablet on cart displays few recipe that uses those spice. Jessy liked one and then the app shows all the ingredients needed for the recipe and where can she find them.

Jessy comes across Smart display. It has distance sensors and face recognition to identify it’s a female and shows relevant promotions on bags.

She is interested and she gets the coupons directly to her phone using Bluetooth technology.

The sensors on the cart have gathered the product cost info, the application on the tablet have received that info, calculated the total cost and shown the bill to Jessy.

Jessy has the Retailer app on her mobile. The iBeacon detects Jessy in the store.

As Jessy pick up her products from the Smart Shelf into her cart, the back end application for shelf replenishment management gets updated real time ,

Jessy pays the bill using smart payment option on the tablet.

Jessy leaves the store


SMART CITY | IOT USECASES

• A successful business architecture is enabled by innovation within and across domains

Cities meet the needs of a borderless workforce. Advances in technology help cities streamline government procedures, such as permitting and licensing.

Economy

Sensors detect leakage to preserve natural resources, such as water. Responsive devices (e.g., washing machines) temporarily stop consuming energy when demand for energy (and prices) increase.

Environment

Virtual learning, digitization, and augmented reality transform the way we learn.

Education

Cities promote connected communities through smart buildings, health care innovation, and the use of data to monitor and enhance social programs.

Living

Shared mobility, autonomous vehicles, dynamic pricing, IoT, and advanced analytics enable more people and goods to move faster, safer, cheaper, and cleaner.

Mobility

Drones, wearable computing, facial-recognition, and predictive video help law enforcement fight crime and protect public safety.

Security


Implications on cyber security


A Changing

Business and

Cyber Risk

Landscape

S T E AM

E L E C T R I C

D I G I TAL

H Y P E R - C O N N E C T E D

AN D I N T E L L I G E N T

Era of Maturity

and Ubiquity

Era of Risk

Era of Compliance

The fourth industrial revolution is upon

us, one of hyper-connectivity and

intelligence. Simultaneously, we are

entering an era of cyber maturity and

ubiquity. It’s imperative that we address

this shift.


THREE KEY FACTORS INFLUENCE CYBER RISK

Convergence

Convergence of IT and OT infrastructures, blurring

the lines between the physical and cyber worlds.

Interoperability

Coexistence and frequent interactions between old and new systems and

platforms.

Integration

Integration and comingling of services across

domains through IoT and digital technologies.


KEY SECURITY AND PRIVACY CHALLENGES

Exponential increase in data volumeThe vast amount of data generated by IoT devices will need to be secured where necessary: confidentiality, integrity and availability needs to be maintained to a level acceptable by the business

Data security needs to be considered for data at rest and in transit, for aggregated or distributed data and both within the traditional organisational boundaries and on dispersed devices

More nuanced Privacy considerationsThe massive amount of data can reveal trends by combining data points that by themselves are seemingly innocuous: power of aggregate data needs to be harnessed in a manner that takes into account both legal and ethical Privacy considerations

IoT can create potential conflicts for organisations about what data is public and what data is private, warranting a proactive deliberation on the subject

Exponential increase in attack surfaceAdopting IoT will not only introduce a vast

number of devices to an organisation’s network but also connect many organisations

together via a common “IoT fabric”

Each organisation needs to not only look at Cyber security risks as it applies to itself but

also consider its position in the “IoT information ecosystem” and understand how its security practices can affect others in the

hyper-connected IoT era

Resource-constrained IoT devicesSecurity features need to be implemented in

devices that are severely constrained in terms of computing resources and/or power, but still

achieve an acceptable level of security


An integrated risk management philosophy is not optional


Cyber risk management and innovation must be on equal footing


No global risk standards? No excuse.


Retrofitting can work – but introduces new risks


Loosely coupled systems can help now—in lieu of an overhaul


As the use of IoT technology continues to grow, so does the threat landscape for connected devices. Being resilient is having the ability to respond to a cyber crisis. As IoT solutions become more prevalent, a cyber threat, if improperly managed, can bring an organization to its knees, as we have seen in previous distributed denial of service (DDoS) attacks. Understanding potential impacts to the device network—and having response plans to quickly recover from a cyber event—is increasingly critical to mitigating risks and achieving the expected benefits of a connected device architecture.

Being vigilant around IoT requires having the people, processes, and technology components to identify network and physical vulnerabilities, identify known and unknown assets, and periodically test protection levels. Asset discovery tools and the inclusion of analytics, operations centers, and security information and event monitoring (SIEM) tools allow organizations to identify threats and take corrective action before issues develop into full scale cyber-attacks.

A comprehensive approach towards managing IOT Security

Secure IoT requires hardening the end-to-end solution. Organizations should include secure components—such as secure code scanning, vulnerability management, application security, and identity/access management into each tier of the IoT landscape.

SECURE

“Are we really protected?”

VIGILANT

“How do we know if we’ve been breached?”

RESILIENT

“Can we respond effectively to a cyber incident?”


Thank you.

internet of things · 2019-11-27 · --october 29. 2015 computer weekly: data set to grow 10-fold...

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