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State auditor: More than $8 million in public benefit fraud identified last year

Boston Herald

The state Auditor's Bureau of Special Investigations found 490 cases totaling $8.16 million in public assistance fraud in the last year, according to a report released Thursday. Hampden County, home of Springfield, had 241 cases of fraud, more than any other county, State Auditor Suzanne Bump said. Statewide, the average amount of fraud per case was $16,938.67. "In Massachusetts, we recognize the value of a strong social safety net to help people put food on the table, access medical care and more. While fraud makes up a small portion of total public assistance spending, it has a disproportionate negative impact on public trust in these programs," Bump said in a statement.


UK's fraud hotspots revealed by Which

BBC News

Norfolk is a dating scams hotspot, Surrey succumbs to investment fraud and west and mid-Wales suffers cold calling computer cons, according to data from UK cyber-crime centre Action Fraud. And it wants the government to do more to tackle the problem. A recent Office of National Statistics survey suggested there are 5.4 million fraud and computer misuse cases a year. Which said that it could not explain why certain frauds occur more in some areas rather than others, partly because so many fraud cases go unreported so the data is incomplete. There were 264,204 frauds reported to Action Fraud in 2016 but this is likely to be a fraction of those that occur.


Twenty Percent of Seafood Is Mislabeled

Mother Jones

For more on how fishermen are using tech to fight back against fish fraud, read this piece and listen to our Bite episode "Fishy Business" here.


TSB pledges to refund fraud victims

BBC News

TSB has become the first UK bank to pledge to refund customers who fall victim to any type of fraud. The "fraud refund guarantee" will cover cases where customers are tricked into authorising payments to fraudsters, as well as unauthorised transactions. The move comes as the bank tries to rebuild its image after an IT meltdown last April left 1.9 million customers unable to access their own money. Banks have been under pressure to help tackle the rise in sophisticated fraud. Currently victims who are tricked into transferring money directly from their account to a fraudster are less likely to be reimbursed because they approved the payments.


Book: A Guide to Data Science for Fraud Detection

@machinelearnbot

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation. Coverage includes data gathering, preprocessing, model building, and post-implementation, with comprehensive guidance on various learning techniques and the data types utilized by each. These techniques are effective for fraud detection across industry boundaries, including applications in insurance fraud, credit card fraud, anti-money laundering, healthcare fraud, telecommunications fraud, click fraud, tax evasion, and more, giving you a highly practical framework for fraud prevention.