π Digital Signature Summary
A digital signature is a secure electronic method used to verify the authenticity of a digital message or document. It proves that the sender is who they claim to be and that the content has not been altered since it was signed. Digital signatures rely on mathematical techniques and encryption to create a unique code linked to the signer and the document.
ππ»ββοΈ Explain Digital Signature Simply
Imagine writing your name at the bottom of a letter so the recipient knows it really came from you. A digital signature is like this, but for electronic documents, using secret codes that only the sender can create. This means anyone can check if the message is real and unchanged, even if they do not know the sender personally.
π How Can it be used?
Digital signatures can be used to securely approve contracts online without needing physical paperwork.
πΊοΈ Real World Examples
When someone signs a contract using an electronic signature service like DocuSign or Adobe Sign, a digital signature is created to ensure that only the intended person signed the document and that no changes were made after signing.
Government tax agencies often let people submit tax forms online by using digital signatures, making the process faster and more secure than sending paper forms by post.
β FAQ
π Categories
π External Reference Links
π Was This Helpful?
If this page helped you, please consider giving us a linkback or share on social media!
π https://www.efficiencyai.co.uk/knowledge_card/digital-signature
Ready to Transform, and Optimise?
At EfficiencyAI, we donβt just understand technology β we understand how it impacts real business operations. Our consultants have delivered global transformation programmes, run strategic workshops, and helped organisations improve processes, automate workflows, and drive measurable results.
Whether you're exploring AI, automation, or data strategy, we bring the experience to guide you from challenge to solution.
Letβs talk about whatβs next for your organisation.
π‘Other Useful Knowledge Cards
Verifiable Secret Sharing
Verifiable Secret Sharing is a cryptographic method where a secret, such as a password or encryption key, is split into several parts and distributed to different participants. Each part alone is not enough to reveal the secret. What makes the scheme verifiable is that participants can check that the shares they receive are valid and consistent, reducing the risk of fraud or errors. This ensures that only when enough valid shares are combined can the original secret be reconstructed, and everyone can trust the process.
Generalization Optimization
Generalisation optimisation is the process of improving how well a model or system can apply what it has learned to new, unseen situations, rather than just memorising specific examples. It focuses on creating solutions that work broadly, not just for the exact cases they were trained on. This is important in fields like machine learning, where overfitting to training data can reduce real-world usefulness.
AI for Smart Homes
AI for smart homes refers to the use of artificial intelligence to automate and manage household devices and systems. This technology allows home appliances, lighting, heating, and security to work together and respond to your habits and preferences. By learning from your daily routines, AI can help save energy, improve comfort, and increase safety within the home.
Engagement Heatmap
An engagement heatmap is a visual tool that displays where and how users interact most frequently with a website, app, or digital platform. It uses colour gradients to show areas of high and low activity, making it easy to spot patterns at a glance. This helps teams understand user behaviour and improve design or content based on real data.
Efficient Transformer Variants
Efficient Transformer variants are modified versions of the original Transformer model designed to use less memory and computation. Traditional Transformers can be slow and expensive when working with long texts or large datasets. These variants use clever techniques to make the models faster and less resource-intensive while aiming to keep their accuracy high.