Efficient and reliable forensics using intelligent edge computing

摘要: Abstract Due to the increasing awareness and use of cloud edge computing, society industries are beginning understand benefits they can provide. Cloud Edge future information management, have transformed Internet into an innovative interactive computing platform. The ultimate goal edge/cloud is reduce resources in network, as well support sharing intercommunication efforts within network. Secure methodologies applied both open heterogeneous network systems protect them from many potential security threats. However, these approaches only provide passive protection for normal operations, fail address measures several applications, particularly forensics industrial settings. Forensics applications running on must be capable taking legal action against invaders malicious damage or theft. This paper proposes efficient reliable framework (ERFF) intelligent critical industry 4.0 implementation plan. proposed ERFF consists a detective module validation model, with responsible detecting interaction between client terminal resource, which means investigator gathering evidence securely. security-validation model integrated far safer than common key-based cryptographic approaches. conceptual tested Live Digital Forensic Framework (LDF2C), results compared other existing frameworks that fulfill fundamental ISO/IEC 17025 accreditation requirements, including Legal Reliable (LRFF), Source Identification Network (SINFF) Logging Computing (LFCCF)). These were designed digital forensic requirements academia, experimental validate effectiveness reliability efficiency perspectives realistic scenarios