Device recognition and user authentication are two popular methods for improving cybersecurity. Device recognition involves identifying and verifying the devices that are connecting to a network, and user authentication involves verifying the identity of users attempting to access the network.
While device recognition and user authentication perform similar jobs, there are pros and cons for both. In this blog post, we’ll explore the advantages and disadvantages of each method for improving cybersecurity and discuss scenarios where one method may be more suitable than the other. We’ll also examine how device recognition and user authentication can be combined to enable a multi-factor authentication approach, for a more robust and secure solution than possible using either method by itself.
Let’s dive a little deeper into device recognition and user authentication, and how each method works to enhance security:
As digital transformation initiatives accelerate, IT teams are under intense pressure to identify, track and manage an increasingly wide array of connected devices to mitigate the risk of unauthorized access, data theft, and malicious attacks. Device recognition technology can be used to identify and recognize every network-connected device and collect rich data about those devices, such as manufacturer, model and operating system. Such data can assist with a number of IT use cases, not the least of which is cybersecurity.
Knowing what devices are connected to the network at all times enables rapid security threat investigations and remediation, while helping to improve overall IT management and optimization.
There are different methods for detecting and recognizing networked devices, including Mac and IP address filtering, certificate-based authentication and device fingerprinting:
User authorization is the process of granting or denying access to specific resources or actions within a system or application based on a user’s identity and permissions. The user must authenticate their identity with a username and password, biometric authentication, or other methods of identity verification. Next, the system determines the user’s role and permissions based on their identity, user account, and other factors. User roles and permissions determine what the user can or cannot access within the system.
Once user roles and permissions are established, the system then grants or denies access to specific resources or actions based on the user’s role and permissions. It continually monitors and controls access to ensure that users only access the resources and actions they are authorized to use.
The main difference between device recognition and user authentication is that device recognition focuses on identifying and verifying the device that is attempting to access a resource or network, while user authentication is focused on verifying the identity of the user who is attempting to access a system or application. And, while device recognition is often used for network-level security, user authentication is typically used for application-level security.
For example, device recognition may be used to restrict access to a particular Wi-Fi network or to prevent unauthorized access to a network printer. User authentication, on the other hand, may be used to restrict access to a specific application or database.
Device recognition enhances security by enabling IT to distinguish between authorized and unauthorized devices. It helps prevent cyber attacks by ensuring only trusted devices can access secure resources. This also provides better control over network traffic by mitigating the risk of network congestion caused by unauthorized devices. Moreover, Device recognition methods such as MAC address filtering and IP address filtering are relatively easy to implement and do not require significant resources.
However, by itself, device recognition provides limited protection – attackers can bypass device recognition by spoofing MAC addresses and IP addresses. What’s more, device recognition methods such as MAC address filtering and IP address filtering can result in false positives, where legitimate devices are blocked from accessing the network. Finally, advanced device recognition methods such as device fingerprinting and certificate-based authentication can be complex and require specialized knowledge and expertise to implement and maintain.
User authentication alone is also inadequate. While it provides an audit trail of user activity and can be customized to meet an organization’s specific needs, some users may resist the additional steps required for strong authentication, such as remembering multiple passwords or carrying a separate authentication device. Some user authentication methods, such as biometric authentication, can be expensive to implement and maintain. Worst of all, user authentication may offer a false sense of security: attackers can still exploit device vulnerabilities or other vulnerabilities in the system or application.
Combining user authentication with device recognition enhances security for IT systems and applications by requiring two or more forms of authentication before granting access to a system or application. For example, a user may have to supply credentials along with a security token generated by a trusted device. Or, they may have to present a digital certificate to the system or application, along with a device identifier such as a MAC address or IP address.
Another way to combine these technologies is to use biometric authentication, where the user’s biometric data, such as a fingerprint or face recognition, is matched with the biometric data stored on a trusted device. Location data can also be verified using GPS data of the device along with the username and password.
Combining user authentication and device recognition prevents scenarios in which an authorized user accesses the network with an unprotected, personal device – which happens quite often nowadays in our increasingly distributed enterprise. Additionally, it can prevent an unauthorized user from gaining access to corporate resources or sensitive information, even if they use a stolen, trusted device.
Combining user authentication with device recognition provides a more robust security posture against cyber threats, as it requires attackers to compromise both the user’s credentials and the trusted device before gaining access. But not all device recognition solutions are the same – and you need one you can trust.
Lansweeper’s Device Recognition is driven by a patented MAC clustering technique, which leverages AI and machine learning to provide unmatched device recognition accuracy. The solution works without needing credentials to analyze more than 15 different network protocols, including MAC address, DHCP fingerprint, User-Agent, UPnP, Bonjour, Netbios, and SNMP information, to deliver highly accurate and granular information about every network-connected device, even devices that only touch the network briefly. Lansweeper maintains one of the most extensive data sets in the industry, with over 1.3 billion uniquely identified devices and growing.
Lansweeper’s device recognition technology can be embedded into your cybersecurity products to provide enhanced protection against malicious activity and cybercrime, using our easy-to-use cloud API, multi-platform SDK or offline database. Learn more and get started today!