A Language-Based Approach to Prevent DDoS Attacks in Distributed Financial Agent Systems

Denial of Service (DoS) and Distributed DoS (DDoS) attacks, with even higher severity, are among the major security threats for distributed systems, and in particular in the financial sector where trust is essential. Our aim is to develop an additional layer of defense in distributed agent systems to combat such threats. We consider a high-level object-oriented modeling framework for distributed systems, based on the actor model with support of asynchronous and synchronous method interaction and futures, which are sophisticated and popular communication mechanisms applied in many systems today. Our approach uses static detection to identify and prevent potential vulnerabilities caused by asynchronous communication including call-based DoS or DDoS attacks, possibly involving a large number of distributed actors.

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