Use this practical guide to understand the concepts behind Intelligent Multi-modal Security Systems (IMSS) and how to implement security within an IMSS system to improve the robustness of the devices and of the end-to-end solution.
There are nearly half a million active IMSS cameras globally, with over 100 million added annually. These cameras are used across enterprises (companies, traffic monitoring, driver enforcement, etc.), in peoples'' homes, on mobile devices (drones, on-vehicle, etc.), and are worn on the body.
IMSS systems with a camera and network video recorder for storage are becoming the normal infrastructure for capturing, storing, and transmitting video content (sometimes up to 100 streams) in a secure manner and while protecting privacy.
Military, aerospace, and government entities are also embracing digital security and surveillance. IMSS content serves as evidence in courts of law.
Security within all of these types of IMSS systems
Table of Contents
Introduction
Chapter 1: Introduction
Goal: Inform the reader why the security of a security system is important. Set the context and grab the interest of reader.
Chapter 2: DSS System Level View
Goal: describe the essential components in a video surveillance system
· System Topology
· Principle Components
· End to End Security
Chapter 3: Complementary Technologies
Goal: Provide an overview of the relevant technologies in a surveillance system.
· Basic Image Synthesis and Video Processing
· Computer Vision and Machine Learning
· Cybersecurity
Chapter 4: Dissecting a E2E DSS Data Pipeline
Goal: Define and dissect the data pipeline with focus on key criteria and enable the reader to understand the mapping of this pipeline to Intel hardware blocks. With this knowledge, the reader will also be equipped with knowledge to optimize the partition and future-proof with security and manageability.
· What does it take?
· Defining the data pipeline
· Key criteria – Accuracy, Throughput, power, efficiency
· Partitioning the data pipeline across and E2E system architecture
· Key criteria at each stage of the E2E system architecture
· Mapping the data pipeline to real hardware
· Optimizing the partition – further criteria – security, maintainability, future proofing
Chapter 5: Securing the DSS Assets
Goal: Introduce Threat Modeling terminology, outline the assets pertinent to DSS, emerging threats, and explain how to mitigate these threats using Intel HW and SW technologies.
· Threat Modeling Terminology
· DSS Assets
· Emerging Threats
· Mitigations with IA technologies
Chapter 6: Sample DSS Applications
Goal: Enumerate some of the key applications of DSS, while cataloging the security assets from Intel.
· Scene detection
· Pedestrian/driver identification
Chapter 7: Vision—Future Work
Goal: Inform the reader about where to go next and to monitor megatrends, align with them and also comply with upcoming standards.
· Surveillance system megatrends – sensor fusion, scene understanding, designing for a low trust/no trust environment,
· What to look for on the horizon – surviving in a disruptive environment, quantum computing,
· Standards impact – metadata exchange, parsing the workload, telemetry, next generation video codecs – AV1 and beyond
