Countering Inside Threat Actors in Algorithm-Based Media
|Title||Countering Inside Threat Actors in Algorithm-Based Media|
|Publication Type||Conference Paper|
|Year of Publication||2018|
|Conference Name||2018 IEEE International Conference on Big Data (Big Data)|
|Keywords||algorithm-based media, archival science, data privacy, Digital signatures, disinformation, Facebook, Google, insider threat, insider threats, Internet, Media, organisational aspects, proprietary organizational information, security, security of data, social media disinformation, social media organizations, social networking (online), threat actors, Voting, zero knowledge, zero-knowledge verifiable computing, ZK-Sedai|
The risks of insider threats and social media disinformation have independently received much attention in recent years. Missing from the conversation is discussion of insider threats inside social media organizations. This paper considers the risks of insider threats in social media organizations and proposes ZK-Sedai, an approach leveraging current and evolving techniques for zero-knowledge verifiable computing that will grant consumers verifiable evidence of fairness on the part of social media organizations without requiring undue exposure of proprietary organizational information.