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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Four held in Kalaburagi for brutal murder of man
Kalaburagi: Four men have been arrested in Kalaburagi on charge of hacking a man with lethal weapons and pelting stones at him under the limits of Station Bazaar Police Station recently.
According to police sources, Anand Jalak Shinde (34), Ashitosh Jalak Shinde (30), Imran Mehboob Sheikh (28) and Sohaib Anwar Qureshi have been arrested. The men are accused of the brutal murder of Syed Mehboob, a resident of Station Bazaar Upper Line Hamalawadi in the city.
An FIR was filed by the Station Bazaar Police Station based on a complaint given by Syed Ismail, father of the deceased Syed Mehboob.
Following quick probe, the police team successfully arrested the suspects within 24 hours. The arrested men were produced in court and have been sent to judicial custody.
The City Police Commissionerate has appreciated in an official release the police team’s quick solving of the murder case and arrest of the four men accused of murdering Syed Mehboob.
