New algorithm may help reveal fake Facebook, Twitter accounts
New York, April 18: Scientists have developed a new generic algorithm based on machine-learning to detect fake accounts on social network platforms including Facebook and Twitter, an advance with considerable potential for applications in the cyber-security arena.
"With recent disturbing news about failures to safeguard user privacy, and targeted use of social media to influence elections, rooting out fake users has never been of greater importance," said lead researcher Dima Kagan from the Ben-Gurion University (BGU) in Israel.
The study showed that the algorithm is generic, and efficient both in revealing fake users and in disclosing the influential people in social networks.
"Overall, the results demonstrated that in a real-life friendship scenario we can detect people who have the strongest friendship ties as well as malicious users, even on Twitter," the researchers said.
Based on machine-learning algorithms, the new method, detailed in the journal Social Network Analysis and Mining, works on the assumption that fake accounts tend to establish improbable links to other users in the networks.
It constructs a link prediction classifier that can estimate, with high accuracy, the probability of a link existing between two users.
It also generates a new set of meta-features based on the features created by the link prediction classifier.
Using the meta-features, the researchers, constructed a generic classifier that can detect fake profiles in a variety of online social networks.
"We tested our algorithm on simulated and real-world data sets on 10 different social networks and it performed well on both," Kagan said.
Previously, researchers from the BGU had developed the Social Privacy Protector (SPP) to help users evaluate their friends list in seconds to identify which have few or no mutual links and might be "fake" profiles.
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Elephant attacks man riding his children to school in Belthangady
Belthangady: In a shocking incident, a wild elephant attacked a man and his two children while they were on their way to school on a bike in Shishila village on Wednesday morning. The attack left the trio injured and their bike completely destroyed.
The victim, Vasantha Gowda, a resident of Kallaje in Shishila, was riding his bike to drop his children, Lavya and Advith, at Perla School in Shibaje village. The incident occurred around 8:30 AM when a lone elephant suddenly emerged on a curve in the road.
Startled by the sudden appearance of the animal, Vasantha Gowda braked abruptly, causing the bike to topple. All three fell to the ground, sustaining injuries to their arms and legs. As the elephant advanced, they managed to escape the scene, leaving their bike behind.
The elephant then approached the fallen bike, smashed it with its trunk, and completely crushed it underfoot.
The attack has heightened concerns among residents of Belthangady taluk, where incidents of human-elephant conflict have been rising. Locals have called on the Forest Department to take measures to prevent such encounters and ensure the safety of residents.
