72 results about "Digital evidence" patented technology

A handy, low cost, tamper-evident evidence recording device is disclosed. A method and system for utilizing evidence recording devices in improving various business processes such as insurance claims processing, car and equipment rentals, and property leases disputes, is disclosed.

An apparatus and method for collecting digital evidence from a target system to be analyzed at a remote location and then providing security in a remote digital forensic environment based on the collected digital evidence. The method of providing security includes making, by a security providing apparatus, an evidence collection request for collection of evidence of an evidence collection-target apparatus from an evidence collection agent in a remote digital forensic environment, collecting evidence data corresponding to the evidence collection request from the evidence collection agent, verifying the evidence data based on a signature value of the evidence data collected from the evidence collection agent, generating evidence analysis data based on the verified evidence data, verifying the evidence analysis data based on a signature value of the evidence analysis data, and providing security for the evidence collection-target apparatus based on results of the verification of the evidence analysis data.

The invention belongs to the technical field of digital forensics, and particularly relates to a malicious code fragment intelligent forensics method and system, and the method comprises the steps: constructing a code fragment training set and a code fragment test set for training and testing through extracting the underlying data features of a storage medium; training the set full-connection neural network model by using the data in the code fragment training set, the input being a feature vector, and the output being a normal or malicious prediction result; for the code fragment test set, performing test output by utilizing the trained full-connection neural network model to judge whether model input is a malicious code fragment; and performing feature extraction on the target code snippets, and inputting the target code snippets into a fully-connected neural network model generated through training and testing to obtain an intelligent malicious code recognition result of the targetcode snippets. According to the method, malicious code fragments in storage media such as computers, mobile phones and tablets and evidence containers such as RAW, E01 and AFF can be recognized, and the method has a good application prospect in the field of digital evidence collection such as crime event evidence underlying data automatic analysis.