         IoT Security 培训

Session 1 & 2: Basic and Advanced concepts of IoT architecture from security perspective
A brief history of evolution of IoT technologies
Data models in IoT system – definition and architecture of sensors, actuators, device, gateway, communication protocols
Third party devices and risk associated with vendors supply chain
Technology ecosystem – device providers, gateway providers, analytics providers, platform providers, system integrator -risk associated with all the providers
Edge driven distributed IoT vs Cloud driven central IoT : Advantage vs risk assessment
Management layers in IoT system – Fleet management, asset management, Onboarding/Deboarding of sensors , Digital Twins. Risk of Authorizations in management layers
Demo of IoT management systems- AWS, Microsoft Azure and Other Fleet managers
Introduction to popular IoT communication protocols – Zigbee/NB-IoT/5G/LORA/Witespec – review of vulnerability in communication protocol layers
Understanding the entire Technology stack of IoT with a review of Risk management
Session 3: A check-list of all risks and security issues in IoT
Firmware Patching- the soft belly of IoT
Detailed review of security of IoT communication protocols- Transport layers ( NB-IoT, 4G, 5G, LORA, Zigbee etc. ) and Application Layers – MQTT, Web Socket etc.
Vulnerability of API end points -list of all possible API in IoT architecture
Vulnerability of Gate way devices and Services
Vulnerability of connected sensors -Gateway communication
Vulnerability of Gateway- Server communication
Vulnerability of Cloud Database services in IoT
Vulnerability of Application Layers
Vulnerability of Gateway management service- Local and Cloud based
Risk of log management in edge and non-edge architecture
Session 4: OSASP Model of IoT security , Top 10 security risk
I1 Insecure Web Interface
I2 Insufficient Authentication/Authorization
I3 Insecure Network Services
I4 Lack of Transport Encryption
I5 Privacy Concerns
I6 Insecure Cloud Interface
I7 Insecure Mobile Interface
I8 Insufficient Security Configurability
I9 Insecure Software/Firmware
I10 Poor Physical Security
Session 5: Review and Demo of AWS-IoT and Azure IoT security principle
Microsoft Threat Model – STRIDE
Details of STRIDE Model
Security device and gateway and server communication – Asymmetric encryption
X.509 certification for Public key distribution
SAS Keys
Bulk OTA risks and techniques
API security for application portals
Deactivation and delinking of rogue device from the system
Vulnerability of AWS/Azure Security principles
Session 6: Review of evolving NIST standards/recommendation for IoT
Review of NISTIR 8228 standard for IoT security -30 point risk consideration Model
Third party device integration and identification
Service identification & tracking
Hardware identification & tracking
Communication session identification
Management transaction identification and logging
Log management and tracking
Session 7: Securing Firmware/ Device
Securing debugging mode in a Firmware
Physical Security of hardware
Hardware cryptography – PUF ( Physically Unclonable Function) -securing EPROM
Public PUF, PPUF
Nano PUF
Known classification of Malwares in Firmware ( 18 families according to YARA rule )
Study of some of the popular Firmware Malware -MIRAI, BrickerBot, GoScanSSH, Hydra etc.
Session 8: Case Studies of IoT Attacks
Oct. 21, 2016, a huge DDoS attack was deployed against Dyn DNS servers and shut down many web services including Twitter . Hackers exploited default passwords and user names of webcams and other IoT devices, and installed the Mirai botnet on compromised IoT devices. This attack will be studied in detail
IP cameras can be hacked through buffer overflow attacks
Philips Hue lightbulbs were hacked through its ZigBee link protocol
SQL injection attacks were effective against Belkin IoT devices
Cross-site scripting (XSS) attacks that exploited the Belkin WeMo app and access data and resources that the app can access
Session 9: Securing Distributed IoT via Distributer Ledger – BlockChain and DAG (IOTA) [3 hours]
Distributed ledger technology– DAG Ledger, Hyper Ledger, BlockChain
PoW, PoS, Tangle – a comparison of the methods of consensus
Difference between Blockchain, DAG and Hyperledger – a comparison of their working vs performance vs decentralization
Real Time, offline performance of the different DLT system
P2P network, Private and Public Key- basic concepts
How ledger system is implemented practically- review of some research architecture
IOTA and Tangle- DLT for IoT
Some practical application examples from smart city, smart machines, smart cars
Session 10: The best practice architecture for IoT security
Tracking and identifying all the services in Gateways
Never use MAC address- use package id instead
Use identification hierarchy for devices- board ID, Device ID and package ID
Structure the Firmware Patching to perimeter and conforming to service ID
PUF for EPROM
Secure the risks of IoT management portals/applications by two layers of authentication
Secure all API- Define API testing and API management
Identification and integration of same security principle in Logistic Supply Chain
Minimize Patch vulnerability of IoT communication Protocols
Session 11: Drafting IoT security Policy for your organization
Define the lexicon of IoT security / Tensions
Suggest the best practice for authentication, identification, authorization
Identification and ranking of Critical Assets
Identification of perimeters and isolation for application
Policy for securing critical assets, critical information and privacy data