What are the best practices for securing video data from edge devices?

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Video analytics is the process of extracting insights from video data using artificial intelligence, computer vision, and machine learning. It can be used for various applications, such as facial recognition, object detection, traffic monitoring, and security. However, video data is often sensitive and vulnerable to cyberattacks, especially when it is collected and processed by edge devices. Edge devices are devices that perform video analytics at the source of the data, such as cameras, drones, or sensors, instead of sending it to a central server or cloud. This can reduce latency, bandwidth, and cost, but also poses challenges for data protection and privacy. In this article, we will discuss some of the best practices for securing video data from edge devices.

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1 Encrypt video data

One of the most basic and essential steps for securing video data from edge devices is to encrypt it. Encryption is the process of transforming data into a code that can only be deciphered by authorized parties with a key. Encryption can prevent unauthorized access, tampering, or leakage of video data during transmission or storage. There are different types of encryption, such as symmetric, asymmetric, or homomorphic, that can be applied to video data depending on the level of security and performance required. For example, homomorphic encryption allows video analytics to be performed on encrypted data without decrypting it, which can enhance privacy and efficiency.

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Madan Pernati

Director | Engineering, Product Strategy, Program Management, Service Delivery, Leadership, 0→1 CoE/GCC Setup
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Edge devices can handle video data security in two ways. ?????????????????? ?????? ?????????? ???? ?????????? ??????????????: This is typical with Video Management Systems (VMS), where the video files are encrypted before storing them on disk. To decrypt and view the file, proprietary viewer client software is required. ?????????????????? ?????????? ?????? ???????????? ??????????????: Certain VMS softwares provide SRTP stream, a secure protocol for encrypting video in transit. Video analytics systems require a live feed from the camera or VMS in standard format. Expecting VA systems to decrypt the encrypted video stream or encrypted recorded video files would cause delays, and the goal of increased privacy would be jeopardized.

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2 Authenticate edge devices

Another important practice for securing video data from edge devices is to authenticate them. Authentication is the process of verifying the identity and legitimacy of edge devices that collect, process, or send video data. Authentication can prevent spoofing, impersonation, or hijacking of edge devices by malicious actors. There are different methods of authentication, such as passwords, certificates, tokens, or biometrics, that can be used to establish trust and authorization among edge devices. For example, biometric authentication can use facial recognition or fingerprint scanning to identify edge devices based on their unique physical features.

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3 Isolate edge networks

A third practice for securing video data from edge devices is to isolate them. Isolation is the process of separating edge devices from other networks or devices that are not relevant or trusted. Isolation can reduce the exposure and attack surface of edge devices and video data. It can also limit the impact and propagation of potential cyberattacks or breaches. There are different ways of isolating edge devices, such as firewalls, virtual private networks (VPNs), or micro-segmentation, that can create boundaries and filters for data flow and access. For example, micro-segmentation can divide edge networks into smaller and more manageable units based on their functions and policies.

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Mervin Forero

Strategic Marketing Director | Expert in Security Integration Technologies | Specialized in CCTV, Access Control, Alarms, AI & Cloud Services | Brand Growth & Innovation Leader in Cannabis & Beverage Industries
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When I worked on a security project for a manufacturing plant, we implemented facial recognition and isolated edge devices to secure video data. We separated these devices from other networks using firewalls, VPNs, and micro-segmentation. One instance that stands out is dividing the network into segments based on functions, like keeping production floor cameras separate from administrative ones. This reduced exposure and minimized the attack surface, ensuring that potential cyberattacks were contained and couldn't spread, giving us peace of mind about our system's security.

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4 Update edge software

A fourth practice for securing video data from edge devices is to update them. Updating is the process of installing the latest versions of software or firmware on edge devices that contain bug fixes, security patches, or new features. Updating can improve the functionality, performance, and security of edge devices and video data. It can also prevent exploitation of known vulnerabilities or flaws by hackers or malware. There are different ways of updating edge devices, such as over-the-air (OTA), remote, or manual, that can vary in speed, convenience, and reliability. For example, OTA updates can automatically download and install updates on edge devices without requiring physical connection or intervention.

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Madan Pernati

Director | Engineering, Product Strategy, Program Management, Service Delivery, Leadership, 0→1 CoE/GCC Setup
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The following factors must be taken into account when updating edge software: → How to prevent corrupted files from being created when pausing and restarting the video recording services? → Managing the data loss and outage? → Managing situations involving lack of connectivity → Testing the modification after deployment? → Rollback procedures with the estimated time required

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5 Monitor edge activity

A fifth practice for securing video data from edge devices is to monitor them. Monitoring is the process of collecting and analyzing data about the status, performance, and behavior of edge devices and video data. Monitoring can provide visibility, awareness, and control over edge devices and video data. It can also detect and alert anomalies, errors, or threats that may compromise the security or quality of video data. There are different tools and techniques for monitoring edge devices, such as dashboards, logs, or sensors, that can provide real-time or historical information and feedback. For example, sensors can measure and report the temperature, humidity, or vibration of edge devices that may affect their operation or durability.

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Madan Pernati

Director | Engineering, Product Strategy, Program Management, Service Delivery, Leadership, 0→1 CoE/GCC Setup
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Important aspects to keep an eye on in the edge system with video sensors attached. ???????? ???????????? ???????????????????? →System connectivity →Resources (CPU, RAM, DISK) →Device temperature (If GPU enabled) →Recording status →Video encryption status →Video stream quality →Connectivity with the sensors →Vendor Software versions →Third party software versions →Automatic update status →Logs upload status →Data upload and download status →Connectivity with the cloud or CMS ?????????? ??????????????/?????????????? →Network connectivity →Credentials changes →Video streaming →FOV changes (Physical movement, zoom changes) →Video quality changes (Frame rate, bit rate, resolution etc) →Firmware changes →Timezone changes →NTP changes

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What are the best practices for securing video data from edge devices?

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1 Encrypt video data

2 Authenticate edge devices

3 Isolate edge networks

4 Update edge software

5 Monitor edge activity

6 Here’s what else to consider

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