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Cybersecurity in logistics and transportation

Cybersecurity in logistics and transportation

Cybersecurity is for you too!

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Modality: Online

100% subsidized

without prior knowledge

Protect the essentials in logistics and transportation

Discover how to protect networks, devices and key information in logistics and transportation with cybersecurity strategies and technologies, managing risks and strengthening operations in an increasingly connected environment.

Highlighted benefits

Free of charge

Formación subvencionada a través del programa “cheque de capacitación digital para el transporte”, en el marco del plan de Recuperación, Transformación y Resiliencia – financiado por la Unión Europea – NextGenerationEU.

100% online

Access from anywhere with virtual classes.

No prerequisites

Ideal for anyone, regardless of their employment status.

Practical application

Learn with real examples from a growing sector.

reserve your place

This course is aimed at people who, without prior experience, want to acquire all the necessary knowledge to dedicate themselves professionally to cybersecurity.

Module 1: Fundamentals of Networks and Cybersecurity in organizations and companies in the transport sector.

Networking Basics

Introduction to Networks
Network models (OSI and TCP/IP)
Common network technologies in transport (SCADA, ITS…)
Network devices (routers, switches, etc.)

Introduction to Cybersecurity in Transportation

Introduction to cybersecurity
Cybersecurity challenges in the transport sector
Common threats and risks in the transport sector
Cybersecurity regulations and standards in transport
Cybersecurity Basics
Anatomy of a cyber attack
Impact of cyberattacks on the transport sector

Module 2: Network Access and Infrastructure Protection in organizations and companies in the transport sector.

Network access

Ethernet and Network Switching
Spanning Tree Protocol (STP)
VLANs and Trunking
Port Security and Wireless Networking Basics

Protection of Infrastructure and Information

Infrastructure security in the transport sector
Information security in the sector
Access control in the sector
Infrastructure security technologies in the sector
Information security solutions in the transport sector
Identity and access management in organizations and companies in the transport sector
Network security measures: firewalls, VPNs, network segmentation

Module 3: IP Connectivity and Risk Management in organizations and companies in the transport sector.

IP connectivity

Static and dynamic routing
Routing protocols (RIP, OSPF, EIGRP)
Access Control Lists (ACLs)

Cybersecurity Risk Management

Cybersecurity risk management methodologies in the transport sector
Cybersecurity risk assessment in the sector
Treatment of cybersecurity risks in organizations and companies in the transport sector
Industry-specific cybersecurity risk management tools
Industry standards and good practices
Practical cases of cybersecurity risk management in the transport sector

Module 4: IP Services and Cybersecurity Strategy in organizations and companies in the transport sector.

IP Services

DHCP and DNS
NAT and PAT
VPNs and GRE Tunnels

Cybersecurity Strategy

Defining a cybersecurity strategy
Aligning the cybersecurity strategy with the objectives of organizations and companies in the transport sector
Implementation of the cybersecurity strategy in organizations and companies in the transport sector
Reference frameworks for cybersecurity strategy

Module 5: Fundamentals of Security and Application Security in organizations and companies in the transport sector.

Security Fundamentals

Network Security Concepts
Firewalls and Access Control Lists
Device Security and Security Policies
Cryptography and key management

Application Security

Secure application development lifecycle in the industry
Industry-specific application security testing
Management of vulnerabilities specific to the sector
Secure application development methodologies for the transport sector

Module 6: Automation and Protection against Attacks in Organizations and Companies in the Transport Sector.

Automation and Programmability

Automation Basics
Introduction to network programming and scripting
Using APIs and Network Automation Tools

Protection against attacks

Common attack techniques in the transport sector
Defence-in-depth measures appropriate to the sector
Incident response plan for transport organisations and companies
Attack protection technologies. Sector specialties

Module 7: Cybersecurity Case Studies in Transportation.

Lessons learned from case studies
Analysis of real cases of cybersecurity in transport

*Equivalent to 150 hours of training (of which 50 are face-to-face/virtual teaching hours)

You will learn and standardize the use of cloud office tools for collaborative work, understanding their possible applications in different sectors and, in particular, in transport, logistics and mobility.

You will discover and be introduced to the concept and use of some artificial intelligence tools to improve productivity in different areas, easily incorporating them into everyday tasks.

OFFICE AUTOMATION IN THE CLOUD

Unit 1: Introduction to Google Workspace and cloud office automation.

-Introduction to Google Workspace, advantages for remote and mobile work.
-Creation and management of Google accounts.
-Use of collaborative environments for transport and logistics companies.
-Implementation of cloud office automation in transport and logistics companies.
-Practical examples of implementation, use and benefits obtained.

Unit 2: Google Docs – Word processor for transport and logistics.

-Creating and editing documents in Google Docs.
-Use of templates, plugins and basic formatting.
-Permission settings, real-time sharing, and document protection and security considerations.
-Application examples: Documentation and operating procedures (creation and real-time updating of standard operating procedure manuals for warehouses or fleet management, documentation relating to security policies, regulations, etc.).
-Application examples: Incident and/or maintenance reports (documenting incidents, accidents, mechanical problems, creating and sharing fleet maintenance reports in real time, etc.).

Unit 3: Google Sheets – Data management for logistics..

-Introduction to Google Sheets and its application in the logistics and transport sector.
-Creating, editing and formatting spreadsheets.
-Functions and formulas for logistics data analysis. Charts and visualizations.
-Import and export data.
Application examples: Real-time inventory management, route planning and optimization, delivery schedules…

Unit 4: Google Calendar, Google Forms, Google Meet and other Google applications.

-Google Calendar for coordinating driver shifts, vehicle assignments, maintenance schedules, sending reminders and notifications…
-Google Forms for designing customer satisfaction surveys, service request forms…
-Google Meet to provide real-time remote support, coordination and reduction of travel…
-Google Slides to create performance reports, service presentations, team training…
-Other tools: Google Tasks, Keep….

Unit 5: Google Drive: Cloud storage and document management

-Functionalities and advantages of its application in the transport, logistics and mobility sector.
-Cloud browsing, storage and file organization.
-Sharing and configuring permissions, synchronizing with devices and collaborative work.
-Cloud storage security and privacy.
-Other alternatives: Microsoft Office 365.

ARTIFICIAL INTELLIGENCE

Unit 1: What is AI? Introduction, uses and applications.

-Introduction to AI, characteristics and applicability.
-Basic concepts: Machine learning, deep learning, natural language processing…
-Examples of AI tools and platforms for general and/or specific uses.
-Examples of the use of AI in the optimization of operations in the transport and mobility logistics sector.
-Ethical and security considerations in the use of AI.

Unit 2: Basic application of AI in warehouse automation and inventory management.

-Explore AI solutions for warehouse automation.
-AI tools for inventory management.
-Practical examples for predictive analysis, stock control, etc…
IoT, systems integration and automation of logistics processes with AI.
-Benefits and advantages of its use and study of some success stories.

Unit 3: AI for route optimization and logistics operations.

-Basic algorithms for logistics planning.
-AI tools for route planning and optimization.
-Use of AI for fleet management.
-Practical examples, simulations and analysis.
-Trends, future of AI in logistics and transportation.

Unit 4: AI in customer service and support in logistics processes.

-Virtual assistants and AI-powered chatbots as a tool to improve customer experience.
-Use of virtual assistants for scheduling pick-up, delivery, etc. services
-AI for real-time information on order status, lead times,
delivery…
-Configuration and training of virtual assistants and chatbots.
-Examples and study of some practical cases.

Unit 5: Safety and ethics in the use of AI.

-Ethical principles in AI.
-Data protection and privacy.
-Safe handling of AI tools.
-Main threats and risk behaviors.
-Implementation of AI to monitor and improve security.

Master Cybersecurity in Logistics and Transportation

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Frequently Asked Questions

El curso de Ciberseguridad en Logística y Transporte está diseñado para proporcionar una formación integral en redes y ciberseguridad aplicada específicamente al sector del transporte.

The training is available in several sessions and is taught in different locations. Please do not hesitate to contact us!

The course has a total of 50 hours of virtual classroom teaching, with the remaining 150 hours being completed with the student's personal work.

– Minimum attendance of 75% of the teaching hours.

– Demonstrate that the learning objectives have been achieved by successfully completing practical cases in the classroom, which will be assessed and evaluated by the teacher through direct observation.

– Pass a multiple choice test at the end of each module.

We have different schedules available that you can check on this page.

No, this training is subsidised through the “digital training voucher for transport” programme, within the framework of the Recovery, Transformation and Resilience Plan – funded by the European Union – NextGenerationEU and by the Ministry of Transport, Mobility and Urban Agenda. Mainjobs will process your application and you will know if you are granted the aid that covers the full cost (valued at €1,000, 100% subsidised for the course before starting the training).

Since it is a grant, it will be considered a capital gain, and is therefore subject to, but not exempt from, Personal Income Tax (IRPF).
Depending on your personal circumstances, you may be required to file an income tax return. However, in general, those people who are required to file an income tax return are those who:
– Have obtained work income of more than 22,000 euros per year from a single payer.
– Or those who have obtained work income of more than 14,000 euros per year when it comes from more than one payer and the sum of the amounts received from the second and remaining payers exceeds 1,500 euros per year.