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WiFi Router Data Acquisition bootcamp

Department for Work & Pensions

Buyer Contact Info

Buyer Name: Department for Work & Pensions

Buyer Address: Caxton House 7th Floor 6-12 Tothill Street, London, UKI32, SW1H 9NA, United Kingdom

Contact Email: cdp-i.systemsanddata@dwp.gov.uk

Status
complete
Procedure
direct
Value
15750.0 GBP
Published
24 Sep 2025, 13:23
Deadline
n/a
Contract Start
24 Sep 2025, 23:00
Contract End
24 Oct 2025, 22:59
Category
n/a
CPV
80511000 - Staff training services
Region
n/a
Awarded To
FIRST FORENSIC SOLUTIONS LTD
Official Source
Open Find a Tender

Description

For nine members of the Digital Forensics Team to complete the WiFi Router Data Acquisition bootcamp. To enable them to download Wi-Fi routers in a forensically- sound manner; progress Wi-Fi related investigative opportunities; learn how to interpret and understand detailed Wi-Fi router logs, including identification of advanced services and ensure you are performing active scanning in an effective way while eliminating any collateral capture. This course covers the following objectives: · Understand the fundamental operation and identifiers of Wi-Fi networks · Identify key evidential areas of interest · Understand the fundamental operation and identifiers of Wi-Fi networks · Identify key evidential areas of interest · Identify the type of data typically held on Wi-Fi routers · Conduct Wi-Fi router downloads for common routers · Undertake a Wi-Fi RF survey, extract and analyse survey data · Understand advanced Wi-Fi theory and the behaviour of extended Wi-Fi networks · Advanced interpretation of router logs · Understand how to identify potential usage of services such as peer-to-peer and Bitcoin · Demonstrate how to write Wi-Fi RF survey statements in accordance with current national standards · Demonstrate how to perform active Wi-Fi scanning in a controlled manner. Course length - 5 days Processed by SSCL

Linked Documents

No linked documents found for this notice.

Opportunity Context

Lots

Lot 1 Status: complete

Raw Notice JSON

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