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Your search keyword '"Bagchi, Saurabh"' showing total 17 results
Start Over Author "Bagchi, Saurabh" Publisher institute of electrical and electronics engineers (ieee)
17 results on '"Bagchi, Saurabh"'

2. Context-Aware Collaborative Intelligence With Spatio-Temporal In-Sensor-Analytics for Efficient Communication in a Large-Area IoT Testbed

Author

Chatterjee, Baibhab, primary, Seo, Dong-Hyun, additional, Chakraborty, Shramana, additional, Avlani, Shitij, additional, Jiang, Xiaofan, additional, Zhang, Heng, additional, Abdallah, Mustafa, additional, Raghunathan, Nithin, additional, Mousoulis, Charilaos, additional, Shakouri, Ali, additional, Bagchi, Saurabh, additional, Peroulis, Dimitrios, additional, and Sen, Shreyas, additional

Published
2021
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4. Hybrid Low-Power Wide-Area Mesh Network for IoT Applications

Author

Jiang, Xiaofan, primary, Zhang, Heng, additional, Barsallo Yi, Edgardo Alberto, additional, Raghunathan, Nithin, additional, Mousoulis, Charilaos, additional, Chaterji, Somali, additional, Peroulis, Dimitrios, additional, Shakouri, Ali, additional, and Bagchi, Saurabh, additional

Published
2021
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8. Vision Paper: Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures

Author

Bagchi, Saurabh, primary, Aggarwal, Vaneet, additional, Chaterji, Somali, additional, Douglis, Fred, additional, Gamal, Aly El, additional, Han, Jiawei, additional, Henz, Brian J., additional, Hoffmann, Henry, additional, Jana, Suman, additional, Kulkarni, Milind, additional, Lin, Felix Xiaozhu, additional, Marais, Karen, additional, Mittal, Prateek, additional, Mou, Shaoshuai, additional, Qiu, Xiaokang, additional, and Scutari, Gesualdo, additional

Published
2020
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17. Learning from the Ones that Got Away: Detecting New Forms of Phishing Attacks

Author

Dan Goldwasser, Saurabh Bagchi, Gutierrez Christopher, Marcello Cinque, Jeff Avery, Taegyu Kim, Raffaele Della Corte, Gutierrez, Christopher N., Kim, Taegyu, Corte, Raffaele Della, Avery, Jeffrey, Goldwasser, Dan, Cinque, Marcello, and Bagchi, Saurabh

Subjects
machine learning security, Learning classifier system, Computer science, online learning, Feature extraction, 02 engineering and technology, Computer security, computer.software_genre, Phishing, Electronic mail, university-based phishing campaign, Software deployment, 020204 information systems, Phishing attack, 0202 electrical engineering, electronic engineering, information engineering, Blacklisting, 020201 artificial intelligence & image processing, Electrical and Electronic Engineering, computer, Classifier (UML), Email filtering
Abstract

Phishing attacks continue to pose a major threat for computer system defenders, often forming the first step in a multi-stage attack. There have been great strides made in phishing detection; however, some phishing emails appear to pass through filters by making simple structural and semantic changes to the messages. We tackle this problem through the use of a machine learning classifier operating on a large corpus of phishing and legitimate emails. We design SAFe-PC (Semi-Automated Feature generation for Phish Classification), a system to extract features, elevating some to higher level features, that are meant to defeat common phishing email detection strategies. To evaluate SAFe-PC , we collect a large corpus of phishing emails from the central IT organization at a tier-1 university. The execution of SAFe-PC on the dataset exposes hitherto unknown insights on phishing campaigns directed at university users. SAFe-PC detects more than 70 percent of the emails that had eluded our production deployment of Sophos, a state-of-the-art email filtering tool. It also outperforms SpamAssassin, a commonly used email filtering tool. We also developed an online version of SAFe-PC , that can be incrementally retrained with new samples. Its detection performance improves with time as new samples are collected, while the time to retrain the classifier stays constant.

Published
2018
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