Machine-to-Machine (M2M) Security and Privacy: Size, Share, Challenges, Opportunities, Strategy, IoT Security

Report Overview

Research Beam adds a report titled “Machine-to-Machine (M2M) Security and Privacy: Challenges and Opportunities” that provides detailed information of the Machine-to-Machine (M2M) Security and Privacy. The report is an excellent piece of study for investors who are looking towards the market.

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.

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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.

Table of Contents:

EXECUTIVE SUMMARY

Part One: Machine-to-Machine Security               12

1.0 EXPLOITED VULNERABILITIES AND ATTACKS        12

2.0 SECURITY REQUIREMENTS FOR M2M      14
2.1 Authentication  14
2.2 Confidentiality  14
2.3 Access control   14
2.4 Integrity               15

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3.0 FACTORS LEADING TO COMPLEXITY IN M2M APPLICATIONS        16
3.1 Proliferation of Nodes in Network           16
3.2 Limited Computational Power    16
3.3 Lack of Awareness          16
3.4 Lack of Pre-set Rules      17

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