Target Defense Against Link-Prediction-Based Attacks via Evolutionary Perturbations

Understand

In social networks, by removing some target-sensitive links, privacy protection might be achieved.

• However, some hidden links can still be re-observed by link prediction methods on observable networks.
• In this paper, the conventional link prediction method named Resource Allocation Index (RA) is adopted for privacy attacks.
• Several defense methods are proposed, including heuristic and evolutionary approaches, to protect targeted links from RA attacks via evolutionary perturbations.