Online social networks: threats and solutions
Many online social network (OSN) users are unaware of the numerous security risks that
exist in these networks, including privacy violations, identity theft, and sexual harassment …
exist in these networks, including privacy violations, identity theft, and sexual harassment …
Target defense against link-prediction-based attacks via evolutionary perturbations
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 …
achieved. However, some hidden links can still be re-observed by link prediction methods …
Computationally efficient link prediction in a variety of social networks
Online social networking sites have become increasingly popular over the last few years. As
a result, new interdisciplinary research directions have emerged in which social network …
a result, new interdisciplinary research directions have emerged in which social network …
Relationship prediction in dynamic heterogeneous information networks
Most real-world information networks, such as social networks, are heterogeneous and as
such, relationships in these networks can be of different types and hence carry differing …
such, relationships in these networks can be of different types and hence carry differing …
Towards link inference attack against network structure perturbation
The increasing popularity and diversity of social media sites have resulted in an emergent
number of available social networks. These social networks are now the source of …
number of available social networks. These social networks are now the source of …
Differentially private demand side management for incentivized dynamic pricing in smart grid
In order to efficiently provide demand side management (DSM) in smart grid, carrying out
pricing on the basis of real-time energy usage is considered to be the most vital tool …
pricing on the basis of real-time energy usage is considered to be the most vital tool …
How to hide one's relationships from link prediction algorithms
Our private connections can be exposed by link prediction algorithms. To date, this threat
has only been addressed from the perspective of a central authority, completely neglecting …
has only been addressed from the perspective of a central authority, completely neglecting …
Link prediction in highly fractional data sets
In recent years, online social networks have grown in scale and variability and offer
individuals with similar interests the possibility of exchanging ideas and networking. On the …
individuals with similar interests the possibility of exchanging ideas and networking. On the …
NetSRE: Link predictability measuring and regulating
Link prediction is an elemental issue for network-structured data mining, which has already
found a wide range of applications. The organization of real-world networks usually …
found a wide range of applications. The organization of real-world networks usually …
Privacy-preserving network embedding against private link inference attacks
Network embedding represents network nodes by a low-dimensional informative vector.
While it is generally effective for various downstream tasks, it may leak some private …
While it is generally effective for various downstream tasks, it may leak some private …