The security of the Internet of Things requires a completely different approach to network-centric "traditional" IT security.
Connecting more things has changed the way we are safe. As the environment of people, things, infrastructure, and the physical world becomes more digital, the security approach needs a shift from the IT security architecture to the IoT security architecture.
Companies must consider many fundamental shifts and successfully transition to this new architecture and way of thinking. And need to begin to understand why the security of the Internet of Things is different from the "traditional" IT security, and all types of organizations in any industry should start to consider three key issues:
Question 1: What are we trying to protect?
By its very nature, the Internet of Things is not a single technology, a business unit or a vertical industry. Rather, deploying and connecting devices, objects, or infrastructure in an enterprise or consumer environment essentially means a connection between multiple endpoints. Any connected application, whether it is a thermostat at home or a sensor for a wind turbine, includes some of the configured devices, applications, networks, and of course personnel.
When faced with surface threats (ie, potentially fragile landscapes), organizations must assess the “Internet of Things security stack†of risks, not just the technical system components, but also the people and organizations involved in the system, as well as partners. .
While device, application, and network (technical) security are at the heart of any connected thing, another important aspect of people's security is often overlooked. Password security, BYOD environment, employee turnover, lack of security training, simple human error, and the presence of personnel dynamics in any system are also one of many risks. Keep in mind that the security of the IoT system depends on its weakest endpoint. Make people help to enhance security.
IoT Security Protocol Stack
To understand that in the most secure context, a comprehensive inventory check is required, not just its proprietary endpoints, devices and systems, but all associated devices, applications, networks, users, and supporters. And the starting point of "What are we protecting?" is:
1. Identify this ecosystem
2. Determine how sensors and data are added to the product or infrastructure and collect the data into an ecosystem.
This is the first step in developing a security strategy.
Question 2: What happens if our "smart" system is compromised?
What happens in an emergency situation? Today, many people and many businesses don't have any ideas, whether formal or distributed, they should find themselves happening in data, system or personal safety emergencies, breach of contract, hacking or other compromises. There is a clear meaning within the company:
·What is the threat surface?
· Where is the connection with technology and system components?
·What is the actual threat?
· Places that may pose a threat
·How to mitigate these threats
·How to identify when a problem occurs
· How to respond to an event when a partner is compromised
·How to stop, analyze, classify and communicate problems
They should also have a formal plan for data-related crises in external communications, including partners and the media, and most importantly customers and end users.
As a safety practitioner, what is its plan? They must recognize the security requirements of the Internet of Things while addressing the multifaceted challenges of traditional and emerging security. First, organizations must meet traditional security challenges and traditional architectures and environments. Next, they must address the current generation of technology, cloud features, social and mobile challenges. Finally, with the advent of new technologies, computational interactions and interface diffusion, these factors interact to drive the development of new economies, and companies are obliged to do everything they can to solve such digital accidents and unknown consequences.
Question 3: What does personally identifiable information mean?
Almost every connected environment involves elements of personally identifiable information, also known as PII. If there is no data transfer, the data is integrated. But thinking about the security and privacy of the Internet of Things requires people to reconsider the composition of personally identifiable information.
There is still some clarification in the definition of PII in the Web2 world. Specially disclosed in NIST 800-122 is defined as "any information maintained by an agent of a personal PII, including (1) any information that can be used to identify or track a person's identity, such as name, social security number, date of birth and location, mother Premarital name or biometric record; and (2) any other personal information linked or linked to, such as medical, educational, financial, and employment information."
As we move beyond laptops and digital objects and environments, we will integrate different monetized data sets from different environments, and "personal identity" may be far less simple than black and white.
It is clear that the architecture of sensing technology comes from sensing the reality of physics: position, acceleration, temperature, heart rate, humidity, sound, light, position... such examples are too numerous to mention. And when these data are entered, many problems may be seen.
Fitbit can track steps and heart rate generation data to show how its users are active, for example. The company quickly made such data, initially set to public by default.
Regardless of whether the “links or links†of individuals' movements and activities across time and space are clear, whether in the face of the law or in the eyes of collecting data, the data generated by the end user is not known:
· The personal identity of the person who lives in the home address?
· How do individuals identify their personal identity by driving?
· Personal identification of responses to biological stimuli?
Advertisers, insurance companies, manufacturers, retailers and employers are scrambling to get as much experience as possible, but can people use technology to limit human emotions?
Although no organization can answer these questions explicitly, in every respect, it is the best interest in generating such data in the context of the analysis and how to manage and protect the meaning of the data. In the case of data breaches, data medical incidents or related crises, such planning and documentation will help companies to perform better in court. As companies compete to collect as much data as possible, they must consider the consequences and consequences of the collection and application of these data and the integration of data.
The problem reflects the need for a new IoT security approach.
There are a variety of resource organizations that can be accessed to help with these issues, but the approach to IoT security will vary. To help find a truly secure "intelligent system," Harbo Research has developed three steps to guide the organization's security in its approach to the Internet of Things.
Although the above issues are an IoT security policy, one might have guessed that they are far from easy to answer checkboxes. Companies must first assess existing infrastructure, current development initiatives (including products, processes, and people) and adjust security and privacy protection strategies for these large enterprises.
Forward-looking IoT security strategies will begin with product design, and like the IoT itself, they will transcend products, services, stakeholders, customer segments, threat vectors and lifecycles.
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