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Wiki

Data Acquisition

02.12.2025 Eddie No comments yet
Data Acquisition

Table of Contents

 Incident Scene: Data at Risk Before Collection

When an incident occurs, the first instinct often involves “looking around” the live system.
Unplanned clicks, root logins, or file copies can alter timestamps, logs, and unallocated space before anyone records a clean state.

Data acquisition solves this problem.
It focuses on collecting data in a controlled way so you preserve evidential integrity from the first action onward.

Foundations of Forensically Sound Acquisition

Data acquisition in a forensic context means more than just copying files.
It defines a documented process that collects data, protects it from change, and shows the court or internal review how you handled every step.

Key objectives:

  • Minimize changes on the source device

  • Capture as much relevant data as the scope allows

  • Prove that collected data remains identical to the source

  • Provide repeatable steps that another examiner can verify

Scope and Levels of Acquisition

Investigators choose a level of acquisition based on the case, time, and risk.

Common levels:

  • Physical (bit-level) imaging: sector-by-sector copy of an entire disk or partition

  • Logical acquisition: copy of files, folders, and partitions at the file-system level

  • Targeted collection: focused copy of specific artifacts such as logs, email stores, or browser data

You use physical imaging for deep analysis and recovery.
You choose logical or targeted methods when time or access constraints limit full imaging.

Hashes and Validation

Cryptographic hashes prove that a copy matches its source.
During acquisition, you compute hashes such as SHA-256 for:

  • The original device or image

  • The acquired image or exported evidence sets

You then compare values.
When they match, you can show that the collected data stayed unchanged from acquisition through analysis and reporting.

Chain of Custody and Documentation

Technical integrity alone is not enough.
You must document who accessed a device, when they collected data, which tools they used, and where evidence traveled.

A basic chain of custody log includes:

  • Case identifier and device description

  • Dates and times of acquisition and transfers

  • Names and signatures of handlers

  • Hash values of key evidence files

You maintain these records alongside the images and exports to support later review.

Acquisition Techniques Across Devices

Different devices require different acquisition methods.
Laptops, servers, cloud services, and mobile hardware all present unique constraints.

Disk and Volume Imaging

For desktops and servers, disk imaging remains a primary method.
You often:

  1. Power down the system if the situation allows.

  2. Remove the drive and connect it to a forensic workstation.

  3. Use a hardware write blocker to prevent any writes to the source disk.

  4. Create a bit-level image and compute hashes during or after acquisition.

You then perform analysis on the image, not on the original disk.
This approach protects the evidence even if tools crash or analysts make mistakes.

Live Acquisition from Running Systems

Sometimes you cannot power a system down, such as a production server or a device holding volatile evidence.
You then perform live acquisition.

Typical actions include:

  • Capturing RAM with a memory acquisition tool

  • Gathering running process lists, active connections, and volatile logs

  • Imaging logical volumes while the OS still runs, with as little disturbance as possible

Live acquisition inevitably changes the system to some extent.
You document those changes and explain why live collection offered the best balance between evidential value and risk.

Network and Cloud Collections

Modern investigations reach beyond local disks.
Data may live in cloud storage, SaaS platforms, or central log collectors.

In these cases, you:

  • Use platform APIs to export logs, mailbox contents, or file histories

  • Capture network traffic from taps or span ports when legally authorized

  • Preserve provider metadata such as timestamps, account identifiers, and IP addresses

You treat exported archives as evidence objects and hash them like local images.

Software Workflow for Repeatable Acquisition

Manual actions increase the risk of errors.
A well-designed acquisition tool helps you follow a consistent process every time.

A typical workflow with a tool such as EOS SECURE Data Acquisition might look like this:

  1. Start EOS SECURE Data Acquisition on a hardened workstation.

  2. Identify connected disks, volumes, or remote sources through a clear device list.

  3. Select the target and choose an acquisition type (physical image, logical set, or targeted profile).

  4. Configure hashing options and evidence destination paths.

  5. Run the acquisition while the tool records logs, hashes, and timestamps.

The tool then generates a report you can attach to your case documentation.
You avoid ad hoc commands that become hard to repeat or explain later.

Recommended Procedure for Windows Disk Acquisition

what is data acquisition

The following sequence outlines a practical procedure when you acquire a Windows disk as evidence.

Preparation

  1. Power off the subject system when you do not need live data.

  2. Remove the disk carefully and label it with case information.

  3. Connect it to your forensic workstation through a hardware write blocker.

  4. Prepare a dedicated evidence drive with enough free space for the image.

Acquisition and Verification

  1. Launch EOS SECURE Data Acquisition from your analysis machine.

  2. Select the source disk behind the write blocker.

  3. Choose a physical image mode and specify the evidence drive as the destination.

  4. Enable SHA-256 hashing during acquisition.

  5. Start the process and monitor for read errors or anomalies.

  6. After completion, verify that the computed hash matches any recorded source hash.

  7. Seal and label the source disk, then work only with the acquired image during analysis.

Conclusion: Turning Collection into Defensible Evidence

Data acquisition bridges the gap between “data on a device” and “evidence an investigator can defend.”
Strong processes preserve integrity, while good tools reduce risk and human error.

By selecting an appropriate acquisition level, using write blockers and hashes, and documenting every step, you create collections that stand up to technical and legal scrutiny.
Solutions such as EOS SECURE Data Acquisition then help you repeat that process across many cases with confidence.

If you’re in need of recovering lost data, Magic Data Recovery released by Amagicsoft is a professional data recovery software. It comes highly recommended.

FAQs

What is the meaning of data acquisition?

Data acquisition refers to the controlled collection of information from devices, systems, or services. In a forensic context, it focuses on preserving evidential integrity while you capture disks, memory, logs, and cloud data. The process includes hashing, documentation, and repeatable procedures so other examiners can confirm your results.

What is an example of data acquisition?

A common example involves imaging a suspect’s hard drive during an investigation. An examiner connects the drive through a write blocker, uses a dedicated tool to create a bit-level image, and calculates hashes. They then analyze the image instead of the original drive, while chain-of-custody records describe every step.

What are the 4 types of data acquisition?

Teams often group acquisition into several broad types. Physical imaging copies entire disks or partitions, while logical acquisition focuses on file systems and specific folders. Targeted collection gathers selected artifacts, and live acquisition collects data from running systems, including memory and volatile logs, when shutdown is not feasible.

What is a data acquisition job?

A data acquisition job means a defined task that collects evidence from one or more sources. It may target a single workstation, an email tenant, or a group of servers. The job includes scope, tools, schedules, and success criteria, and it produces documented outputs such as images, exports, and hash reports.

What are the three steps of data acquisition?

Many practitioners follow a three-step outline. They first prepare the environment by stabilizing the device and planning scope, then perform collection with write protection and hashing. Finally, they verify and document results, including chain-of-custody entries, tool logs, and hash values that confirm the integrity of the acquired data.

What is another name for data acquisition?

People sometimes describe data acquisition as evidence collection or forensic imaging, depending on context. Other terms such as collection workflow, capture phase, or ingest process appear in incident response and e-discovery. All these phrases refer to controlled gathering of relevant data while preserving its integrity and associated metadata.

How to perform data acquisition?

You start by defining scope, legal authority, and technical constraints. Then you stabilize the environment, apply write protection where possible, and select tools that support hashing and detailed logging. During collection, you follow a documented procedure, save data to secure media, and verify integrity before moving to deeper analysis.

Is data acquisition a skill?

Data acquisition counts as a practical skill that blends technical knowledge with process awareness. Examiners need to understand file systems, device behavior, and tool capabilities, but they also must follow legal, regulatory, and organizational requirements. Like other skills, it improves with structured training, documented playbooks, and experience across varied cases.
  • WiKi
Eddie

Eddie is an IT specialist with over 10 years of experience working at several well-known companies in the computer industry. He brings deep technical knowledge and practical problem-solving skills to every project.

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