Internet of Things (IoT) solves pressing business problems but often poses concerning challenges.
IoT technology has offered several benefits to various businesses (healthcare, transportation, etc.), and at the same time, it has rolled out security concerns with its rising interconnectedness.
Entities in IoT aren’t necessarily the same type of devices, objects, or services. Every entity has a different purpose, interface, operating mechanism, and technology. Considering the diversity, applying security constructs that are the same as the constructs of other assets won’t yield expected outcomes while ensuring cybersecurity.
It makes IoT security one of the top priorities for organizations intending to safeguard their assets from malicious attacks.
What is IoT Security?
Internet of Things (IoT) security is an approach to safeguard IoT devices connected across a network with protective measures while also preventing cyber attacks.
IoT devices serve as possible entry points for attackers to breach a company’s network, which is why robust security measures are needed to protect them.
Today, IoT’s scope has expanded to include traditional industrial machines and has equipped them with the ability to connect and communicate with a network. You can find IoT technologies being used for various purposes like medical devices, education, business development, communications, and so on.
Before we dive deeper into understanding IoT security, let’s shine some light on IoT devices.
What are IoT devices?
IoT devices are machines that are connected across a network or the Internet. These devices aren’t limited to a smart TV or a smartwatch but include a range of machines like printers, washing machines, air conditioners, and other industrial machines.
An IoT ecosystem is spread across organizations and enterprises, covering a wide range of devices. You can ensure IoT security by leveraging a combination ofIoT security solutions, strategies, and techniques.
IoT security issues
Identifying IoT security issues and threats is the first step toward addressing them. Your protective measures will be effective only when you identify these issues and structure your preventive strategies accordingly.
One can categorize IoT security issues into technological challenges and security challenges. IoT devices’ heterogeneous and ubiquitous nature contributes to technical challenges primarily related to scalability, wireless technology, distributed nature, and energy. On the contrary, security challenges include authentication, confidentiality, integrity, and end-to-end security.
Security goals of confidentiality, integrity, and availability (CIA) apply to IoT devices, and achieving these goals poses a challenge, considering restrictions and limitations in terms of computational and power resources.
IoT devices or objects should identify and authenticate one another. However, when so many entities (devices, people, services, processing units, etc.) are involved, authentication becomes challenging.
Moreover, authentication gets tricky when objects in IoT interact with each other for the first time. You’ll need a proper mechanism that authenticates entities in every interaction to address this IoT security challenge.
Computational and power capabilities
Designing and implementing protocols either forencryptionor authentication poses a challenge considering IoT devices’ limited computational and power capabilities.
of all IoT traffic is unencrypted, exposing personal and confidential information.
These algorithms need to be compatible with the device’s capability, and lightweight solutions should be introduced and implemented to ensure IoT security.
IoT devices have different capabilities, complexities, and vendors. There’s a high possibility that the release dates, technical interfaces, bitrates, and functionalities of IoT devices differ from one another.
Designing and implementing security protocols to encompass such diversity in IoT stages is a challenge for organizations. Moreover, IoT operates in a dynamic environment where the connectivity between devices can change. You need to consider these parameters while designing protective measures to ensure IoT security.
IoT needs policies and standards to ensure that data is stored, transmitted, and processed securely. Enforcing such policies and standards across all devices becomes tricky as you deal with diverse entities in the Internet of Things and their dynamic environment.
You need to have clear standards, and your security mechanism should enforce them across all IoT devices to achieve predefined service level agreements (SLAs).
IoT security challenges
IoT devices encounter several security challenges that pose a risk for organizations and enterprises using them.
Here are a few notable IoT security challenges:
Improper handling of device-related security risks, which primarily emerges because these devices don’t get regular updates.
Weak credentials and default passwords make devices vulnerable to brute force attacks or password hacking.
Ongoing hybridization of both ransomware and malware strains makes devices vulnerable to different types of attacks.
Use of IoT botnets for mining cryptocurrency risks the confidentiality, integrity, and availability of data in IoT devices.
IoT security challenges in different layers of IoT architecture
IoT security challenges are spread across different layers of IoT architecture - perception layer, network layer, and application layer.
The purpose of the perception (or sensors) layer is to collect data from the environment with the help of actuators and sensors.
Here are a few security challenges in the perception layer:
Signals are transmitted between sensor nodes that use wireless technology. Its efficiency can be compromised using disturbing waves.
Attackers can intercept IoT devices’ sensor nodes as they operate in outdoor environments. Attackers can tamper with the hardware of the device.
Network topology is dynamic as nodes can be moved to different places.
IoT perception layer mainly consists of radio-frequency identification devices (RFIDs) and sensors. Their computational power and storage capacity are limited, making them prone to IoT security threats.
Replay attacks can exploit the confidentiality of the perception layer through spoofing or replaying an IoT device’s identity information.
These IoT security challenges can be addressed by adopting encryption, authentication, and access controls.
The network layer of IoT infrastructure enables data routing and transmission to various IoT hubs and devices connected to the Internet.
The security challenges associated with the network layers are as follows:
Due to remote access mechanisms and data exchanges, confidentiality and privacy of data are at risk. Attackers can exploit them through traffic analysis, passive monitoring, or eavesdropping.
If the keying material of the devices is exposed, it can compromise the secure communication channel.
Heterogeneous network components make it challenging to use current network protocols.
These security challenges in the network layer can be addressed by adopting protocols and IoT security software to enable an object in IoT to respond to abnormal behaviors and situations.
The application layer achieves the purpose of IoT by creating a smart environment. This layer guarantees the authenticity, integrity, and confidentiality of the data.
The IoT security challenges in the application layer are as follows:
It’s challenging to integrate different applications as they have different authentication mechanisms to ensure data privacy and identity authentication.
Many connected devices cause large overheads on applications that analyze the data, impacting the availability of service.
Improper identification of how different users will interact with the application, the amount of data safe to reveal, and people responsible for managing these applications.
You need proper tools to address security challenges in the application layer and control the amount of data safe to disclose, and how and when it’s being used, and by whom.
How to secure IoT devices
There are a few general protective measures that you can set to ensure IoT security. These include using authorized software in IoT devices. Also, when an IoT device is switched on, it should authenticate itself into the network before it collects or sends data.
It’s necessary to set upfirewallsto filter packets sent to IoT endpoints, as they have limited computation capability and memory. You should also ensure that updates and patches are installed without consuming the additional bandwidth.
Apart from general security measures, you need to consider some unique security practices while planning the security of IoT devices. You need to ensure device security, network security, and make sure that the overall IoT infrastructure and system are secure.
You can adopt the following security practices to secure IoT devices:
Ensure physical security: Keep IoT devices relatively isolated and protected from physical access.
Deploy tamper-resistant devices: Deploy IoT devices that are tamper-resistant, where the device is disabled when tampered with.
Update firmware and install patches: Be proactive in upgrading, updating firmware, and installing patches as soon as the manufacturer releases them.
Perform dynamic testing: It exposes both code weaknesses and security vulnerabilities presented by the hardware.
Protect data on device disposal: Specify procedures to discard IoT devices when they become obsolete. Improperly discarded devices can pose a threat to privacy and serve various malicious purposes.
Use robust authentication: Avoid using default passwords as they introduce a threat of password hacking. Use sophisticated passwords for authentication and resist educated guessing.
Encourage the use of adaptive authentication: Adaptive authentication or context-aware authentication (CAA) uses contextual information andmachine learningalgorithms to assess the risk of malice. If the risk is high, the user will be asked for a multi-factor token.
Use strong encryption and protocols: Maintain secure data transmission by using strong encryption in various IoT protocols ( Bluetooth, Zigbee, Z-Wave, Thread, Wi-Fi, cellular, 6LoWPAN, NFC, etc.)
Minimize device bandwidth: Restrict network capability and bandwidth to the least that is required for the device to function and avoid being targets of IoT-borne distributed denial of service (DDoS) attacks.
Segment the network: Divide networks into smaller local networks using virtual local area networks (VLANs), IP address ranges, and their combinations. This allows you to create different security zones and represent different segments controlled by firewalls.
Protect sensitive information: Avoid leakages in sensitive personally identifiable information (PII) by restricting the discovery of these devices. You’d need proper service mechanisms and authentication protocols so that authorized clients can discover the IoT device.
IoT security software solutions
Internet of things software solutions protect intelligent devices and IoT hubs from unwanted or unauthorized access. These software solutions minimize risks associated with connecting, managing, and drawing data from IoT devices by providing a secured data pipeline and constantly updated threat awareness and protection.
To qualify for inclusion in the IoT security software solutions list, a product must:
Comply with the latest IoT devices and technologies
Support security measures essential to safeguard inter-device communication and facilitate user access cases
Verify device ownership and administrative license with extensive authentication
Alert device owners when inter-device communication is intercepted, or other situations arise
Assist with software updates as they are released
*This list is based on G2 data collected on April 28, 2021. Some reviews may have been edited for clarity.
1. Google Cloud IoT Core
Google Cloud IoT Coreis a fully managed service that enables users to securely connect, manage, and ingest data from millions of globally dispersed devices. It analyzes data both at the edge and in the cloud and is a complete set of tools that helps connect and store information.
What users like:
“Google IoT Core provides the ease of registering devices and making IoT deployment faster. The option to have multiple data streams helps in data management. All payloads have the necessary information to identify and segregate the devices. Extending from Google PubSub to IoT Core was easy since Pubsub is used under the hood of IoT core for data streaming.”
Azure IoT Hubis a managed service that acts as a central message hub for bi-directional communication between IoT applications and the devices. Users can use Azure IoT Hub to build IoT solutions with reliable and secure communications between several IoT devices and a cloud-hosted solution backend.
What users like:
“Azure IoT Hub gives our development teams power, flexibility, and versatility for our industrial remote monitoring of web applications. This particular cloud resource in the Azure family of services is a central piece of the foundation of our application architecture. IoT Hub gives us abilities that our team had dreamed about for many years before Microsoft released this particular cloud resource.
"Data harmonization is key to the success of any data-intensive web application. The needs become even more pronounced when consuming huge volumes of time-series sensor data values from hundreds of industrial assets. IoT Hub allows us to handle this type of data from diverse sources, machines, edge devices, and customers.”
Azure Sphereis a secured, high-level application platform with built-in communication and security features for internet-connected devices. It comprises a secured, connected, crossover microcontroller unit (MCU), a custom high-level Linux-based operating system (OS), and a cloud-based security service that provides continuous, renewable security.
What users like:
“One of the things that stands out the most about this package that Microsoft offers is that it’s made up of three items (which cannot be obtained separately) that together make up a reliable solution to increase security in the management of companies' IoT. It also highlights that the OS was based on Linux Kernel while making it easily adaptable to devices and having extra layers of protection.
In general lines, the conjunction of both the Sphere operating system, the microprocessor, and the Sphere security system is outlined as a complete triangulation to provide a solid system that is secure and includes threats to devices in the IoT framework of companies.”
“I find that the software interface is clustered and quite congested because of different features that are sometimes overwhelming. The security updates come quite frequently, and it’s hard to keep up with them. I’d appreciate it if the connection over the cellular network could be a part of the software and supports the Mac platform.”
AWS IoT Device Defenderis a managed service that helps users secure IoT devices while continuously auditing IoT configurations to ensure proper alignment with the security best practices.
What users like:
“AWS IoT Device Defender is a part of AWS IoT Service. Device defenders check the security policies associated with our IoT devices to confirm that the devices are not attacked or manipulated by hackers. If there is a security flaw, then the device defender will send an alert such that we can revoke or modify the security policy. It also becomes easy to authorize and authenticate the devices that are connected through AWS IoT.”
Sagar Joshi is a content marketing specialist at G2 in India. He is an engineer with a keen interest in data analytics and cybersecurity. He writes about topics related to them. You can find him reading books, learning a new language, or playing pool in his free time.
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