Blockchain Malware Defense via Smart Contract Scanning
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Solution Overview
Problem
Existing cybersecurity measures, such as antivirus software and firewalls, are ineffective against sophisticated malware and ransomware attacks, as they rely on known threat signatures and can be easily bypassed.
Innovation Solution
Implementing blockchain technology with smart contracts to create a decentralized network of computers that automatically detect and mitigate malware threats using heuristics, machine learning, and artificial intelligence, ensuring secure data storage and automated response protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional antivirus software and firewalls are used, then known threat signatures can be detected, but sophisticated malware and ransomware attacks can bypass these measures
Solution Approach 1:
The system performs preliminary actions by continuously scanning files before they can execute or cause harm. The blockchain network pre-establishes a distributed database of malware signatures and behaviors, allowing proactive detection rather than reactive response. Smart contracts automatically trigger scans when suspicious patterns are detected, preventing malware execution before it can compromise the system.
Solution Approach 2:
The patent introduces blockchain technology as an intermediary layer between traditional security software and the files being protected. This decentralized ledger serves as a neutral mediator that stores and verifies malware signatures across multiple nodes, eliminating the single point of failure in traditional centralized antivirus systems. The blockchain intermediary enables collaborative threat intelligence sharing without requiring trust between different security vendors.
2Reliability
If decentralized blockchain network with multiple hardware facilities is implemented, then malware detection reliability is improved, but system complexity increases
Solution Approach 1:
Each hardware facility in the blockchain network is designed to perform multiple functions: storing malware signatures, scanning files, validating blocks, and sharing threat intelligence. This multi-functionality reduces the need for specialized components for each task, simplifying the overall system architecture despite the decentralized nature. The same nodes that store data also perform detection and validation, eliminating the need for separate dedicated hardware for each function.
Solution Approach 2:
The blockchain network implements self-service through automated smart contracts that handle file scanning, malware detection, and response actions without human intervention. The system automatically validates new blocks, updates malware signatures across the network, and isolates infected files. This automation reduces the operational complexity of managing a decentralized network, as the protocol itself manages its own maintenance and updates rather than requiring centralized administrative overhead.
3Speed
If automated response protocols are implemented, then response time to malware threats is reduced, but potential false positives may increase
Solution Approach 1:
The system incorporates feedback loops where the results of automated scans and detections are continuously fed back into the blockchain network. When a file is flagged as potentially malicious, the smart contract triggers additional verification scans across multiple network nodes before confirming malware status. This feedback mechanism allows the system to learn from false positives and adjust detection thresholds, maintaining fast automated response while improving accuracy over time through collective network intelligence.
Data Source
AI summary
Harm caused from malware is automatically prevented. Each of a plurality of hardware facilities are configured by at least one computing device. The hardware facilities interact on a decentralized data communication network and automatically transmit, as a function of a smart contract, a request to another of the plurality of hardware facilities for data associated with a new file or an update to an existing file. In response to the request, data are received and processed to automatically determine, as a function of the smart contract, the data malware or a file infected with malware. The configured hardware facilities are configured to execute, in response to detecting the malware or infection with malware as a function of the smart contract, an instruction to be executed by the other of the plurality of hardware facilities to cause a cybersecurity software application to mitigate any threat caused by the malware.