1. Soumya Sen (UPenn), Supervisors: Carl Livadas, Eve Schooler, DDI team
Estimation of Messaging Overhead Distributed Detection and Inference (DDI)
Soumya Sen (UPenn), Supervisors: Carl Livadas, Eve Schooler, DDI team
Objective – Understand overhead of DDI messaging
Challenge – Design/evaluate scalable scheme for membership maintenance
Approach – Implement a gossip-based messaging and membership scheme
Achievement – Evaluation of effect of packet duplication on detection
The DDI System Architecture
Messaging & Membership Scheme
Local Detectors (LDs) gossip their Local Reports (LRs) to random subset of Global Detectors (GDs)
LDs and GDs maintain random partial membership view
Membership views exchanged between LDs and GDs to ensure view uniformity and prevent node isolation and overlay partition
Challenges: Bootstrapping, Isolation Recovery, Partition Prevention/Recovery, Un-subscriptions
Extent of LR duplication
Effect of LR Duplication on Detection
Fig: % of non-duplicate LRs Vs Effective Fanout Fig. Effect of varying effective fanout on worm detection