CASE STUDY: CASE STUDY:
The Norwegian National Authority for Investigation and Prosecution of Economic and Environmental Crime (ØKOKRIM) The Norwegian National Authority for Investigation and Prosecution of Economic and Environmental Crime (ØKOKRIM)
BACKGROUND
The Norwegian National Authority for Investigation and Prosecution of Economic and Environment Crime (ØKOKRIM) is the central unit for investigation and prosecu- tion of economic and environmental crime, and the main source of specialist skills for the police and the prosecuting authorities in their combat against crime of this kind. ØKOKRIM was established in 1989, and is both a police specialist agency and a public prosecutors’ office with national authority. While the organization may only have 60 cases per year, the nature of these cases are very complex and they involve 10 to 15 years’ worth of data. ØKOKRIM was originally using FTK 1.x and EnCase, both of which are memory-driven solutions and would not handle more than 700,000 items. Furthermore the indexing with EnCase was not working to the organization’s satisfaction. With the average case size being 4 or 5 terabytes, ØKOKRIM, required a better solution to address their high data volumes.
THE SOLUTION When AccessData unveiled AD Lab, ØKOKRIM, saw the value in upgrading to an enterprise-class forensic lab infra- structure. AD Lab was designed to increase productivity in forensics labs by allowing forensics examiners to leverage a distributed processing pool and a centralized database. To ensure the organization was implementing the best infra- structure to serve its needs, Niclas Bjørn, Forensic Examiner and lab infrastructure specialist, engaged in testing hard- ware and configurations. Because every forensics lab is different, this document is not intended to serve as instructions for implementing a lab infrastructure;; it is simply a case study to discuss how one organization is leveraging AD Lab.
TESTING Niclas chose to test the organization’s legacy hardware against top of the line new hardware. The computers tested were Win7, x64 computers at a cost of $800 each against state-of-the-art machines with solid state drives, RAID, 96GB of RAM and SAS drives -- at a cost of $7200 each. They tested 3 worker pools with 8 computers in each against a single pool of 32 processing workers. “What we saw is that the cutting-edge machines would just idle most of the time, while the legacy hardware worked at close to 100% capacity,” commented Niclas. “So we figured that for each of the state-of-the-art machines, we could buy 2 pools of the cheap ones which would do the job in approximately the same time!” According to Niclas, when process- ing the 30 million item test data, the difference in processing time between the old and new computers was only an hour. They also determined that using 3 worker pools, each with 8 computers was more cost efficient. To ensure the workers “play nicely” together, Niclas made sure the computers within each worker pool were identical. The organization opted to invest money in top-of-line computers for the centralized database and discovered that using 3 database servers greatly improved their workflow. ØKOKRIM implemented multiple databases for processing and analysis. This eliminated the risk of investigators being slowed down when large cases were being processed. In addi- tion, when they archive and detach the case from a processing database and put it into a client database, they are automatically creating a backup at the same time.
THE RESULT It used to take Niclas one week to process a single case for analysis. Today he is processing approximately 1 million items an hour. As Niclas explained, “Today, we can have a case finished in a couple hours… indexed, carved and ready for investigators.” ØKOKRIM is now much better equipped to handle its massive amounts of case data, and was able to leverage existing computers and inexpensive new computers to create its worker pools. Reducing the time from processing to analysis from one week to less than a day has dramatically improved the workflow and productivity at ØKOKRIM’s lab.
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