Machine-to-Machine (M2M)
applications will be developed in various sectors of the industry at a rapid
pace over the next five years, reaching an inflexion point by 2020 as the
Internet of Things (IoT) begins a high growth phase. With increasingly more
devices connected to the Internet in which critical business processes depend,
the threats to applications increase in terms of incidence, severity, and
impact.
It is important to recognize
that applications are susceptible to physical attacks on devices as well as
network-level attacks, which in many cases have different issues and solutions.
The M2M industry is quickly recognizing the need to deal with security and
privacy issues pertaining to M2M, but understanding the specific issues and
solutions are not broadly understood.
This Mind Commerce research
addresses security and privacy based on our many years of M2M coverage as well
as recent interviews and survey.
The report is divided into four parts as follows:
- Part One: Evaluates M2M security issues and challenges
- Part Two: Assesses M2M as well as related technologies (Cloud and Big Data)
- Part Three: Discusses survey findings, insights and conclusions pertinent to M2M
- Part Four: Addresses security within Wireless Sensor Networks (WSN) integral to M2M and IoT
All purchases of Mind
Commerce reports includes time with an expert analyst who will help you link
key findings in the report to the business issues you're addressing. This needs
to be used within three months of purchasing the report.
Target Audience:
- Standards organizations
- Mobile network operators
- Security solution providers
- M2M/IoT platform providers
- Wireless device manufacturers
- Privacy infrastructure providers
- Wireless infrastructure providers
- M2M and IoT application developers
- Enterprise employing M2M/IoT solutions
- Security and privacy advocacy organizations
Spanning over 94 pages, “Competitor Machine-to-Machine (M2M) Security and Privacy:
Challenges and Opportunities” report covering the Machine-to-Machine
Security, Machine-to-Machine Privacy, Industry Views on Security, Wireless
Sensor Networks.
For more information see – http://mrr.cm/Z7D
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