[liberationtech] data manipulation

[coderman]

also relevant:
https://www.usenix.org/conference/enigma2016/conference-program/presentation/rozier

Data Integrity Based Attacks in Investigative Domains: How Companies
are Exploiting Data Science to Thwart Investigative Outcomes

Abstract:

The Trustworthy Data Engineering Laboratory (TRUST Lab) has been
working with the World Bank, the Federal Bureau of Investigation
(FBI), the Environmental Protection Agency (EPA), and the City of
Cincinnati to help solve a common problem faced by many organizations
involved in data driven investigations: companies and entities that
attempt to disguise malicious activities through attacks on the
integrity of available data.

In this talk we will explore the challenge of assuring data integrity
in heterogenous data systems that face the challenges of velocity,
variety, and volume that accompany the domain of Big Data. We will
examine real case studies in debarrment and corruption in
international procurement with the World Bank, investigations into
violations of the Foreign Corrupt Practices Act with the FBI, cases of
violations of the Resource Conservation and Recovery Act with the EPA,
and human rights abuses of low income citizens by corporate slum-lords
in the city of Cincinnati. In each of these cases we will show how
malicious actors manipulated the data collection and data analytics
process either through misinformation, abuse of regional corporate
legal structures, collusion with state actors, or knowledge of
underlying predictive analytics algorithms to damage the integrity of
data used by machine learning and predictive analytic processes, or
the outcomes derived from these processes, to avoid regulatory
oversite, sanctions, and investigations launched by national and
multi-national authorities.