The Michigan Engineer News Center

Best paper award for analysis of a decade of malware reports

The research suggests that common blacklist-based prevention systems are ineffective.| Short Read

Muhammad Ikram, a joint postdoc in the labs of Prof. Roya Ensafi and Prof. Dali Kaafar at Macquarie University in Australia, received the Best Paper Award at AsiaCCS 2019 along with collaborators. The team performed an analysis of malicious internet activity from over a decade in order to determine whether the blacklist approach to suspicious IP addresses is truly the most effective.

The main contributions of the paper are a novel means of collecting malicious activity reports, a machine learning approach to classifying reported activities, and an analysis of mal-activity reporting behavior over a decade’s worth of data. The researchers’ analysis shows that some classes of mal-activities (like phishing) and a small number of mal-activity sources are persistent, suggesting that either blacklist-based prevention systems are ineffective or have unreasonably long update periods. The analysis also indicates that resources can be better utilized by focusing on heavy mal-activity contributors, which constitute the bulk of mal-activities.

Read “A Decade of Mal-Activity Reporting: A Retrospective Analysis of Internet Malicious Activity Blacklists.”

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The electrons absorb laser light and set up “momentum combs” (the hills) spanning the energy valleys within the material (the red line). When the electrons have an energy allowed by the quantum mechanical structure of the material—and also touch the edge of the valley—they emit light. This is why some teeth of the combs are bright and some are dark. By measuring the emitted light and precisely locating its source, the research mapped out the energy valleys in a 2D crystal of tungsten diselenide. Credit: Markus Borsch, Quantum Science Theory Lab, University of Michigan.

Mapping quantum structures with light to unlock their capabilities

Rather than installing new “2D” semiconductors in devices to see what they can do, this new method puts them through their paces with lasers and light detectors. | Medium Read