The datasets shared here are either generated by us in a controlled environment or crawled from websites. In particular, they do not belong to any customers or private users.
Note: Since 2024, this page is no more updated. Links to all open datasets are in the papers (see Publications page).
This site has the labeled datasets used in the following work:
This site has the labeled datasets of webpage screenshots and logos as well as implementations of various baselines. Refer the following paper for more details:
This dataset consists of network traffic corresponding to botnet attacks used in the context of IoT attack detection:
This dataset was used in our work on building phishing detection system robust to evasion techniques:
Jehyun Lee, Pingxiao Ye, Ruofan Liu, Dinil Mon Divakaran, and Chan Mun Choon, “Building robust phishing detection system: an empirical analysis,” in NDSS MADWeb (Workshop on Measurements, Attacks, and Defenses for the Web), Feb. 2020.
This dataset was used for device fingerprinting in the following works:
Biswadeep Chakraborty, Dinil Mon Divakaran, Ido Nevat, Gareth W. Peters, and Mohan Gurusamy, “Cost-aware Feature Selection for IoT Device Classification,” IEEE Internet of Things Journal, 2021 [Dataset] [PDF].
Vijayanand Thangavelu, Dinil Mon Divakaran, Rishi Sairam, Suman Sankar Bhunia, and Mohan Gurusamy, “DEFT: A Distributed IoT Fingerprinting Technique,” IEEE Internet of Things Journal, vol. 6, no. 1, pp. 940–952, Feb 2019 [Dataset] [PDF].
Bharat Atul Desai, Dinil Mon Divakaran, Ido Nevat, Gareth W. Peters, and Mohan Gurusamy, “A feature-ranking framework for IoT device classification,” in 11th International Conference on Communication Systems & Networks (COMSNETS 2019), Jan. 2019 [PDF].