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Why Interop & Security are major
issues in IOT?
Website: http://www.mobodexter.com Blog Site: http://blogs.mobodexter.com
Chandramouli Srinivasan
President| ChiefExecutiveOfficerat MoboDexter,Inc
Chandramouli is a serial Entrepreneur who has co-founded MoboDexter Group
companies & ViewFindAR that does Information Technology products & services in CAMS
domain.
Prior to starting MoboDexter, Mouli worked as a system software development/test
engineer/lead and Manager in product R&D organization in Intel, Hewlett Packard and
WIPRO. His experience includes 6 years of software product engineering in product R&D
groups as an engineering manager in Intel and HP handling development and test
programs. Specialty includes handling programs which involved recruiting and building
new teams for handling new SW product R&D functions
PMI certified Project Management Professional (PMP) - PMBOK practitioner for the past
3 years and an Agile SCRUM practitioner for 4 years. I have filed 1 US patent and 2
Research publications in SW/FW domains and passionate about technical contributions
to the projects and programs
Mouli had additional experience of leading large org-wide programs/initiatives on -
Quality : Test transformation, Test Automation, orthogonal defect classification (ODC),
Static Code analysis, product defect prediction models, Closed Loop Quality System
(CLQS)
Methodologies: Test driven development; Model based testing methodologies; Retention
prediction model; Competency evaluation model adoptions
Business : Lean sigma, Outsourcing evaluation & strategy, Business optimization using
Moore’s product adoption model, Data center optimization, innovation
Target’s experimental smart home space – “Open
House” is ready to blow your mind in San Francisco
This is an interesting display given that every Smart thing is brought into one place for a demo. Target
claims to be controlling all things using a single Mobile App like IFTTT. Many Smart Home Devices in the
U.S. operate on WiFi, Bluetooth & ZigBee. Every device manufacturer have their own gateway for
aggregation.
 This display might actually throw light on the number of devices needed and the complexity existing to
make devices of various manufacturer to work together to achieve a specific space.
 This is extremely challenging and I would expect Target to have a lot of SILO implementation that is
struggling to talk to each other to accomplish automation of a specific use case for the user. This would
be classic case of identifying IOT interoperability nightmare.
Strategy analytics reported top IOT Trends in 2015
Major trends predicted in IOT for 2015. As rest of the pieces of IOT emerge the one area that is lacking
serious focus is security. Hence I have moved Security as top most item and moved other trends after
security. As one of the other report stated companies like Google & Facebook already know much more
about its user than the user itself.
The user gives away information in exchange of the service. The difference is between knowing vs.
controlling. In IOT we are talking about giving control to AI algorithms to act on behalf of the user.
The key trends
Data privacy and ownership will become a prominent issue in IoT.
Security becomes paramount-risk-based security and context-based security emerges.
New developer and connectivity platforms will continue to emerge.
IoT becomes more personal: Mobile devices such as smartphones become a critical component of IoT.
Apps will dominate IoT user interaction in 2015. This is a move towards a richer, more interactive ”web
of things”.
IoT architecture will see more decentralization as elements move to the edge of the network.
Location-aware systems will gather pace in industries such as retail and smart cities.
New analytics tools will be needed to handle the diversity of IoT data.
Pattern of Life Analytics(POL) & Internet of Things
(IOT)
POL analytics is not restricted to military applications, although the recent uses of the term generally
derive from military documents, specifically those of the NSA. As mentioned, the closest, most popular
analogous term is “profiling”.
The reported Target, Inc incident was about use of the information to focus marketing efforts on women
it had identified as likely to be pregnant. Based on its data analytics, Target had sent pregnancy-related
information to a high-school girl at her residence, also the residence of her parents.
 The angry father complained to Target, and then followed up with his daughter, about whom he had
not yet been informed that she was indeed pregnant. That incident is an early, classic case of POL
intelligence that illustrated the point that consumers do not welcome evident invasions of their privacy.
This Target case could be considered to be classic POL analysis, or profiling.
Why Interop & Security are major issues in IOT?

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Why Interop & Security are major issues in IOT?

  • 1. Why Interop & Security are major issues in IOT? Website: http://www.mobodexter.com Blog Site: http://blogs.mobodexter.com
  • 2. Chandramouli Srinivasan President| ChiefExecutiveOfficerat MoboDexter,Inc Chandramouli is a serial Entrepreneur who has co-founded MoboDexter Group companies & ViewFindAR that does Information Technology products & services in CAMS domain. Prior to starting MoboDexter, Mouli worked as a system software development/test engineer/lead and Manager in product R&D organization in Intel, Hewlett Packard and WIPRO. His experience includes 6 years of software product engineering in product R&D groups as an engineering manager in Intel and HP handling development and test programs. Specialty includes handling programs which involved recruiting and building new teams for handling new SW product R&D functions PMI certified Project Management Professional (PMP) - PMBOK practitioner for the past 3 years and an Agile SCRUM practitioner for 4 years. I have filed 1 US patent and 2 Research publications in SW/FW domains and passionate about technical contributions to the projects and programs Mouli had additional experience of leading large org-wide programs/initiatives on - Quality : Test transformation, Test Automation, orthogonal defect classification (ODC), Static Code analysis, product defect prediction models, Closed Loop Quality System (CLQS) Methodologies: Test driven development; Model based testing methodologies; Retention prediction model; Competency evaluation model adoptions Business : Lean sigma, Outsourcing evaluation & strategy, Business optimization using Moore’s product adoption model, Data center optimization, innovation
  • 3. Target’s experimental smart home space – “Open House” is ready to blow your mind in San Francisco This is an interesting display given that every Smart thing is brought into one place for a demo. Target claims to be controlling all things using a single Mobile App like IFTTT. Many Smart Home Devices in the U.S. operate on WiFi, Bluetooth & ZigBee. Every device manufacturer have their own gateway for aggregation.  This display might actually throw light on the number of devices needed and the complexity existing to make devices of various manufacturer to work together to achieve a specific space.  This is extremely challenging and I would expect Target to have a lot of SILO implementation that is struggling to talk to each other to accomplish automation of a specific use case for the user. This would be classic case of identifying IOT interoperability nightmare.
  • 4. Strategy analytics reported top IOT Trends in 2015 Major trends predicted in IOT for 2015. As rest of the pieces of IOT emerge the one area that is lacking serious focus is security. Hence I have moved Security as top most item and moved other trends after security. As one of the other report stated companies like Google & Facebook already know much more about its user than the user itself. The user gives away information in exchange of the service. The difference is between knowing vs. controlling. In IOT we are talking about giving control to AI algorithms to act on behalf of the user.
  • 5. The key trends Data privacy and ownership will become a prominent issue in IoT. Security becomes paramount-risk-based security and context-based security emerges. New developer and connectivity platforms will continue to emerge. IoT becomes more personal: Mobile devices such as smartphones become a critical component of IoT.
  • 6. Apps will dominate IoT user interaction in 2015. This is a move towards a richer, more interactive ”web of things”. IoT architecture will see more decentralization as elements move to the edge of the network. Location-aware systems will gather pace in industries such as retail and smart cities. New analytics tools will be needed to handle the diversity of IoT data.
  • 7. Pattern of Life Analytics(POL) & Internet of Things (IOT) POL analytics is not restricted to military applications, although the recent uses of the term generally derive from military documents, specifically those of the NSA. As mentioned, the closest, most popular analogous term is “profiling”. The reported Target, Inc incident was about use of the information to focus marketing efforts on women it had identified as likely to be pregnant. Based on its data analytics, Target had sent pregnancy-related information to a high-school girl at her residence, also the residence of her parents.  The angry father complained to Target, and then followed up with his daughter, about whom he had not yet been informed that she was indeed pregnant. That incident is an early, classic case of POL intelligence that illustrated the point that consumers do not welcome evident invasions of their privacy. This Target case could be considered to be classic POL analysis, or profiling.