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Similar to Internet of things - challenges scopes and solutions
Internet of things - challenges scopes and solutions
- 2. CONTENTS 1. REASON TOMAKE THIS PPT 2. HISTORY OF IOT 3. APPLICATION AND BENEFITS 4. PREDICTIONS AND PROJECTIONS 5. IOT,BIG DATA AND MACHINE LEARNING 6. CHALLENGES 7. SOLUTIONS 8. IOT AND JOBS 9. CONCLUSION 10. REFERENCES
- 3. REASONS TO MAKETHIS PPT • PM’S SMART CITY INITIATIVE • PM’S ASSERTION ON AI DRIVE • TO HIGHLIGHT THE CHALLENGES THAT DIGITAL INDIA HAVE TO FACE IF PROPER MEASURES ARE NOT TAKEN .
- 4. HISTORY OF INTERNETOF THINGS • GLOBAL POSITIONING SATELLITES (GPS) BECAME A REALITY IN EARLY 1993 • INTERNET STARTED IN 1969. • SATELLITES AND LANDLINES PROVIDE BASIC COMMUNICATIONS FOR MUCH OF THE IOT. • THE INTERNET OF THINGS, AS A CONCEPT, WASN’T OFFICIALLY NAMED UNTIL 1999. ONE OF THE FIRST EXAMPLES OF AN INTERNET OF THINGS IS FROM THE EARLY 1980S, AND WAS A COCA COLA MACHINE, LOCATED AT THE CARNEGIE MELON UNIVERSITY. LOCAL PROGRAMMERS WOULD CONNECT BY INTERNET TO THE REFRIGERATED APPLIANCE, AND CHECK TO SEE IF THERE WAS A DRINK AVAILABLE, AND IF IT WAS COLD, BEFORE MAKING THE TRIP.
- 5. HISTORY OF INTERNETOF THINGS • KEVIN ASHTON, THE EXECUTIVE DIRECTOR OF AUTO-ID LABS AT MIT, WAS THE FIRST TO DESCRIBE THE INTERNET OF THINGS (1999), WHILE MAKING A PRESENTATION FOR PROCTER & GAMBLE. • KEVIN ASHTON BELIEVED RADIO FREQUENCY IDENTIFICATION (RFID) WAS A PREREQUISITE FOR THE INTERNET OF THINGS. HE CONCLUDED IF ALL DEVICES WERE “TAGGED,” COMPUTERS COULD MANAGE, TRACK, AND INVENTORY THEM.
- 6. APPLICATIONS AND BENEFITS •WEB OF THINGS (WOT)- INTEGRATING SMART THINGS INTO WEB ARCHITECTURE. • SMART HOME: THE MOST POPULAR IOT APPLICATION, MOST AFFORDABLE AND READILY AVAILABLE TO CONSUMERS. • WEARABLES:ENABLING TEXT MESSAGING, PHONE CALLS, AND MORE. • SMART CITIES: WITH THE PROPER CONNECTIONS AND DATA, THE INTERNET OF THINGS CAN SOLVE TRAFFIC CONGESTION ISSUES AND REDUCE NOISE, CRIME, AND POLLUTION. • ENTERPRISE ORGANIZATIONAL SYSTEMS LIKE ERP AND CRM ARE ALSO TAKING ADVANTAGE OF IOT TO RATIONALIZE THEIR BUSINESS PROCESSES.
- 7. APPLICATIONS AND BENEFITS •REAL-TIME DATA AIDS AND ANALYSIS • IMPROVED CUSTOMER EXPERIENCE • NEW JOBS IN FLEXIBLE ORGANIZATIONS • REDUCED TIME TO MARKET • INTELLIGENT MACHINES AUTOMATING TASKS • THE ELIMINATION OF WASTE IN THE SUPPLY CHAIN oMANUFACTURING, HEALTHCARE, TRANSPORTATION, ENERGY, RETAIL, AGRICULTURE, AND ELECTRONICS ARE THE INDUSTRIES MOST LIKELY TO FIRST ADOPT IOT.
- 8. PREDICTIONS AND PROJECTIONS •IDC EST0IMATES THE DIRECT INTERNET OF THINGS (IOT) MARKET WILL GROW TO MORE THAN $1.7 TRILLION BY 2020 WITH A COMPOUND ANNUAL GROWTH RATE (CAGR) OF 16.9% • IN 2017, THERE WERE AN ESTIMATED 8.4 BILLION INTERNET- ENABLED THERMOSTATS, CAMERAS, STREETLIGHTS AND OTHER ELECTRONICS. BY 2020 THAT NUMBER COULD EXCEED 20 BILLION, BY 2030 THERE COULD BE 500 BILLION OR MORE..
- 9. PREDICTIONS AND PROJECTIONS •THE FIRST PROJECTION MADE BY BERG INSIGHT STATED THAT THE TOP 10 MOBILE OPERATORS GLOBALLY ACCOUNT FOR 76% OF THE CELLULAR IOT MARKET. • ERICSSON PROJECTED THAT THE NUMBER OF IOT DEVICES WITH CELLULAR CONNECTIONS IS ANTICIPATED TO TOUCH 1.5 BILLION IN 2022
- 10. PREDICTIONS AND PROJECTIONS •VIEW RESEARCH ESTIMATED THAT THE VALUE OF THE CELLULAR IOT MARKET WILL GO UP TO $9.65 BILLION BY 2025 FROM ALMOST $1.8 BILLION IN 2016.
- 11. PREDICTIONS AND PROJECTIONS •ABI RESEARCH PROJECTS THAT REVENUES FROM IOT IDENTITY AND MANAGEMENT ARE HEADING TO HIT THE $21.5 BILLION BENCHMARK BY 2022 DRIVEN BY IOT PLATFORM SERVICES TOGETHER WITH SECURITY, CRYPTOGRAPHY, DIGITAL CERTIFICATE MANAGEMENT AND DATA EXCHANGE SERVICES.
- 12. IOT , BIGDATA AND MACHINE LEARNING • IOT IS ABOUT DATA, DEVICES, AND CONNECTIVITY. DATA – BIG AND SMALL – IS FRONT AND CENTRE IN THE IOT WORLD OF CONNECTED DEVICES. • THERE IS GOING TO BE A VAST AMOUNT OF DATA THAT IOT WILL GENERATE, AND IN TODAY’S WORLD, WELL- ANALYSED DATA IS EXTREMELY VALUABLE. • DATA OBTAINED FROM CONNECTED DEVICES IS “HIGH IN QUANTITY, QUALITY AND SENSITIVITY”.
- 13. IOT , BIGDATA AND MACHINE LEARNING • ACCORDING TO A STUDY BY GARTNER, THE REVENUE THAT IS GENERATED FROM IOT-ENABLED SERVICES AND PRODUCTS WILL EXCEED $300 BILLION BY 2020. THIS, HOWEVER, IS ONLY THE TIP OF THE ICEBERG.
- 14. IOT , BIGDATA AND MACHINE LEARNING • THE MOST IMPORTANT ASPECT IS BEING ABLE TO RECEIVE EVENTS FROM IOT-LINKED DEVICES. VERY SOON, DEVICES CAN AND WILL BE CONNECTED TO EACH OTHER VIA BLUETOOTH, WI-FI, OR ANY OTHER TECHNOLOGY, AND WILL NEED TO SEND REQUIRED MESSAGES TO BROKERS USING A WELL-DEFINED PROTOCOL. ONE OF THE MOST WIDELY USED PROTOCOLS IS THE MESSAGE QUEUE TELEMETRY TRANSPORT OR THE MQTT, AND ONE OF THE MOST POPULAR BROKERS IS THE MOSQUITO (AS AN ADDED BONUS, THE MOSQUITO IS OPEN-SOURCE).
- 15. IOT , BIGDATA AND MACHINE LEARNING • ONCE DATA HAS BEEN RECEIVED, THE NEXT STEP IS TO FIND THE BEST TECHNOLOGY PLATFORM FOR STORING IOT DATA. A LOT OF COMPANIES USE HIVE AND HADOOP TO STORE DATA. • APACHE COUCHDB ARE MORE SUITABLE FOR IOT DATA SINCE THEY OFFER LOW LATENCY AND HIGH THROUGHPUT. ONCE COMPANIES HAVE A SECURE AND EFFICIENT SYSTEM TO STORE IOT-RELATED DATA, THEY NEED TO BE ABLE TO ANALYZE IT. EXTRACTING AND MANAGING VALUE FROM IOT IS A BIG CHALLENGE THAT COMPANIES FACE.
- 16. IOT , BIGDATA AND MACHINE LEARNING • THIS IS WHERE MACHINE LEARNING PLAYS A KEY ROLE IN INTERNET OF THINGS. • MACHINE LEARNING CAN HAVE A GREATER IMPACT ON PEOPLE’S LIVES WHEN APPLIED TO THE INDUSTRIAL INTERNET OF THINGS (IOT) THAN IN CONSUMER APPLICATIONS. • MACHINE LEARNING CAN ENABLE ORGANISATIONS TO IDENTIFY WHEN AN OBJECT SHOULD BE REPLACED BEFORE IT FAILS, OR IN THE CASE OF HEALTHCARE, HELP CLINICIANS MAKE SENSE OF MASSIVE AMOUNTS OF DATA IN COMPUTER-ASSISTED DIAGNOSIS. • 50 BILLION INDUSTRIAL IOT DEVICES GOING TO GENERATE UPTO 600 ZETTABYTES PER YEAR.
- 17. CHALLENGES • GROWING GRADUALLY, THEIOT MEETS NEW CHALLENGES. IDENTIFICATION, CONNECTION, SECURITY, AND THE MANAGEMENT OF SO MANY DEVICES ARE THE OBSTACLES TO REMOVE FOR IOT WIDESPREAD ADOPTION
- 18. CHALLENGES • INSECURE “INTERNETOF THINGS” DEVICES HAVE ALREADY CONTRIBUTED TO MAJOR CYBER-DISASTERS, SUCH AS THE :>OCTOBER 2016 CYBERATTACK ON INTERNET ROUTING COMPANY DYN THAT TOOK DOWN MORE THAN 80 POPULAR WEBSITES AND STALLED INTERNET TRAFFIC ACROSS THE U.S. • THREE KEY CHALLENGES FOR FUTURE OF IOT: PERVASIVE DATA COLLECTION. POTENTIAL FOR UNEXPECTED USES OF CONSUMER DATA HEIGHTENED SECURITY RISKS
- 19. CHALLENGES • SECURITY CHALLENGES: oTHERE HAVE BEEN MULTIPLE PREDICTIONS OVER THE YEARS WHICH DECLARE THAT THERE WILL BE AT LEAST TENS OF BILLIONS CONNECTED DEVICES BY 2020. BUT EACH DEVICE WHICH IS CONNECTED INCREASES PRIVACY AND SECURITY CONCERNS SURROUNDING THE INTERNET OF THINGS. o THESE CONCERNS RANGE FROM HACKERS STEALING OUR DATA AND EVEN THREATENING OUR LIVES TO HOW CORPORATIONS CAN EASILY UNCOVER PRIVATE DATA WE CARELESSLY GIVE THEM. • SINCE THEY’LL ALL BE ONLINE ALL THE TIME , THEY WILL BE VULNERABLE TO A CYBER ATTACK AND COULD EVEN BE PART OF ONE.
- 20. CHALLENGES • THE FUNDAMENTALSECURITY WEAKNESS OF THE INTERNET OF THINGS IS THAT IT INCREASES THE NUMBER OF DEVICES BEHIND YOUR NETWORK’S FIREWALL. • AS THE INTERNET OF THINGS BECOMES REALITY, WE HAVE TO WORRY ABOUT PROTECTING MORE DEVICES. IOT DEVICE WHICH WAS SAFE WHEN YOU FIRST BOUGHT IT CAN BECOME UNSAFE AS HACKERS DISCOVER NEW VULNERABILITIES. • IOT HARDWARE IS AND WILL REMAIN A PROBLEM: IOT CHIPSWON’T BE BIG MONEY-MAKERS SINCETHEY ARETINY AND USUALLY BASED ON OUTDATED ARCHITECTURES. SO MOST OFTHE IOT DISPOSABLE DEVICES SHIP WITH OUTDATED SOCS.
- 21. CHALLENGES POTENTIAL THREAT TOIOT FORECASTED BY GARTNER: • SECURITY: INCREASED AUTOMATION AND DIGITIZATION CREATES NEW SECURITY CONCERNS. • ENTERPRISE: SECURITY ISSUES COULD POSE SAFETY RISKS. • CONSUMER PRIVACY: POTENTIAL OF PRIVACY BREACHES. • DATA: LOTS OF DATA WILL BE GENERATED, BOTH FOR BIG DATA AND PERSONAL DATA. • STORAGE MANAGEMENT: INDUSTRY NEEDS TO FIGURE OUT WHAT TO DO WITH THE DATA IN A COST-EFFECTIVE MANNER. • SERVER TECHNOLOGIES: MORE INVESTMENT IN SERVERS WILL BE NECESSARY. • DATA CENTRE NETWORK: WAN LINKS ARE OPTIMISED FOR HUMAN INTERFACE APPLICATIONS, IOT IS EXPECTED TO DRAMATICALLY CHANGE PATTERNS BY TRANSMITTING DATA AUTOMATICALLY.
- 22. SOLUTION • SECURE IOTPRODUCTS • INCORPORATING BLOCKCHAIN • ADAPT PROVEN SECURITY METHODS
- 23. POTENTIAL SOLUTIONS SELF PROTECTIONOF IOT DEVICES: • EMBED SECURITY ACROSS FOUR LAYERS: ENDPOINT, NETWORK, DATA AND APPLICATION, AND THREAT MANAGEMENT. • INCLUDE PROTECTION AT THE PHYSICAL AND MEDIA LAYER OF THE NETWORK. • DETERMINE THE EXTENT OF REQUIRED SECURITY IN EDGE DEVICES AND ITS IMPACT OVER TIME. • PROTECT THE NETWORK TO HELP OVERCOME CHALLENGES IN PROTECTING YOUR APPLICATIONS. • INCORPORATE A CLOUD STRATEGY AND SECURITY POSTURE. • MAINTAIN YOUR SECURITY INTEGRITY OVER THE ENTIRE PRODUCT LIFE CYCLE. • APPLY THE RIGHT SECURITY TECHNOLOGY TO EACH POTENTIAL THREAT AND EVOLUTION OF THAT THREAT.
- 24. IOT AND JOBS •IOT WILL DO EXACTLY WHAT TECHNOLOGY DOES EVERYWHERE - IT SUPPLANTS LOW-SKILL JOBS WITH HIGH-SKILL JOBS. • THE INTERNET OF THINGS WILL LEAD TO WIDESPREAD REPLACEMENT OF SIMPLE AND REPETITIVE JOBS IN AREAS SUCH AS MANUFACTURING, ADMINISTRATION, QUALITY CONTROL AND PLANNING.
- 25. IOT AND JOBS •CHIEF INTERNET OF THINGS OFFICER (CIOTO)- RESPONSIBLE FOR DRIVING THE TECHNOLOGY DECISIONS THAT IN TURN STEER THE DIRECTION OF THE BUSINESS. • IOT BUSINESS DESIGNER- A CREATIVE THOUGHT LEADER WHO WILL SEARCH FOR BUSINESS OPPORTUNITIES THAT CAN BE ADDRESSED THROUGH IOT, THEN ASSEMBLE A TECH SOLUTION TO ADDRESS THE OPPORTUNITY. • FULLER STACK DEVELOPER- DEVELOPER CAN WORK WITH INFRASTRUCTURE, DATABASES, BACK- END CODE (RUBY, PYTHON, JAVA, ETC.), AND FRONT-END CODE (JAVASCRIPT, HTML, CSS, ETC.). ALONG WITH EMBEDDED SYSTEMS (I.E. FIRMWARE), AND OFTEN ELECTRICAL ENGINEERING AND MECHANICAL ENGINEERING. • OTHER PROMINENT JOBS RELATED TO IOT INCLUDE - BIG DATA LEAD; DATA SCIENTIST ;DATA ENGINEERS(SENSORS AND IOT) ;DATA ENGINEER (SENSORS AND IOT APPLICATIONS)
- 26. CONCLUSION • INTERNET OFTHINGS IS A FULL PACKAGE OF PROS AND CONS. IT’S A NEW REVOLUTIONARY CONCEPT WHICH IS GOING TO TOUCH EVERY ASPECT OF HUMAN LIFE. IN FACT THE FUNDAMENTAL PART OF LIFE LIKE AGRICULTURE , HEALTHCARE ARE GOING TO BE TOP CONSUMER OF INTERNET OF THINGS. • IN A NUTSHELL IT IS GOING TO (IN FACT IT IS AROUND US MORE THAN WE KNOW OF) CHANGE THE WAY WE LIVE COMPLETELY.
- 27. REFERENCES • VARIOUS INDIVIDUALARTICLES ON IOT. • GOOGLE IMAGES FOR PICS. • IEEE JOURNALS ON INTERNET OF THINGS • WIKIPEDIA