Tuesday April 24, 2018
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McAfee unveils refreshed cyber security solutions portfolio

The new McAfee Behavioral Analytics uses machine learning to identify threats

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McAfee, Inc. is an American global computer security software company.
McAfee, Inc. is an American global computer security software company. Wikimedia Commons
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  • McAfee reveals refreshed portfolio of its cybersecurity
  • This will optimise its operations and users’ experience
  • The new technology uses machines to identify threats

Global cybersecurity firm McAfee on Wednesday unveiled a refreshed portfolio of its cybersecurity solutions that allows rapid response to advanced cybersecurity threats. McAfee’s updated Enterprise Security Manager (ESM 11) leverages a new data architecture optimised for scalability, performance, faster search and collaboration.

McAfee says that online security concerns are rising in India. IANS
McAfee revises its online security portfolio. IANS

This new architecture combined with the newly-launched McAfee Behavioral Analytics and enhanced McAfee Investigator, McAfee Advanced Threat Defense, and McAfee Active Response would help security operation teams optimise their security infrastructure. McAfee ESM 11, and McAfee Behavioral Analytics are now available. McAfee Investigator will be available in April and enhancements to McAfee Advanced Threat Defense and McAfee Active Response will be available in May, the company said in a statement.

“Given the difficulty in finding skilled resources, enterprises need advanced analytics and machine learning-powered solutions to augment the people they have,” said Jason Rolleston, Vice-President of Security Analytics at McAfee.

Also Read: Indians’ online security concerns increasing: McAfee

“By combining the strength and speed of these new solutions with the power of human intellect, security operations teams become faster, smarter, more effective, and more efficient,” added Rolleston.

McAfee ESM 11 shares huge volumes of raw, parsed, and correlated security events, and allows for flexible horizontal expansion with active-active high availability, enabling organisations to rapidly query billions of occurrences.

Cyber attack has effected millions of people globally. Wikimedia Commons
The technology will identify threats using machine learning. Wikimedia Commons

The new McAfee Behavioral Analytics uses machine learning to identify threats. It distills billions of security events down to hundreds of anomalies to produce a handful of prioritised threat leads. The updated McAfee Investigator has expanded investigation guides that include new navigation features to multi-select findings for faster case closure. IANS

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New algorithm may help locate fake Facebook and Twitter accounts

Using the meta-features, the researchers, constructed a generic classifier that can detect fake profiles

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Facebook and Twitter fake accounts can now be identified. Pixabay

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 icon of Facebook.
Facebook has many fake profiles. Pixabay

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.

Also Read: Facebook Rolls Out Fact-Checking News In Karnataka

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.

Twitter to soon release Snapchat like feature. VOA
Fake accounts on Twitter will be identifie too. VOA

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. IANS