Reputation in M2M Economy
Dragos Strugar, Rasheed Hussain, JooYoung Lee, Manuel Mazzara, Victor, Rivera

TL;DR
This paper explores the role of reputation in the emerging M2M economy driven by autonomous vehicles and AI, emphasizing its importance for security, privacy, and trust among intelligent agents.
Contribution
It introduces the concept of reputation for artificial agents like EAVs, highlighting its significance in the M2M ecosystem and addressing trust issues beyond human agents.
Findings
Reputation mechanisms can enhance trust among autonomous vehicles.
Reputation systems may improve security and privacy in M2M interactions.
Reputation is crucial for managing errors and cooperation among intelligent agents.
Abstract
Triggered by modern technologies, our possibilities may now expand beyond the unthinkable. Cars externally may look similar to decades ago, but a dramatic revolution happened inside the cabin as a result of their computation, communications, and storage capabilities. With the advent of Electric Autonomous Vehicles (EAVs), Artificial Intelligence and ecological technologies found the best synergy. Several transportation problems may be solved (accidents, emissions, and congestion among others), and the foundation of Machine-to-Machine (M2M) economy could be established, in addition to value-added services such as infotainment (information and entertainment). In the world where intelligent technologies are pervading everyday life, software and algorithms play a major role. Software has been lately introduced in virtually every technological product available on the market, from phones…
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Taxonomy
TopicsBlockchain Technology Applications and Security · Access Control and Trust · Privacy-Preserving Technologies in Data
