173 citations · 311 across the 10 of their papers we have counts for
10 papers
Clustering Algorithm to Detect Adversaries in Federated Learning
Krishna Yadav, B. B Gupta
In recent times, federated machine learning has been very useful in building intelligent intrusion detection systems for IoT devices. As IoT devices are equipped with a security ar…
A Survey of Deep Active Learning
Pengzhen Ren, Yun Xiao, Xiaojun Chang +5
Active learning (AL) attempts to maximize the performance gain of the model by marking the fewest samples. Deep learning (DL) is greedy for data and requires a large amount of data…
Cloud-based Federated Boosting for Mobile Crowdsensing
Zhuzhu Wang, Yilong Yang, Yang Liu +3
The application of federated extreme gradient boosting to mobile crowdsensing apps brings several benefits, in particular high performance on efficiency and classification. However…
Defending against Phishing Attacks: Taxonomy of Methods, Current Issues and Future Directions
B. B. Gupta, Nalin Asanka Gamagedara Arachchilage, Konstantinos E. Psannis
Internet technology is so pervasive today, for example, from online social networking to online banking, it has made people's lives more comfortable. Due the growth of Internet tec…
Security Strength Indicator in Fallback Authentication: Nudging Users for Better Answers in Secret Questions
Awanthika Senarath, Nalin Asanka Gamagedara Arachchilage, B. B. Gupta
In this paper, we describe ongoing work that focuses on improving the strength of the answers to security questions. The ultimate goal of the proposed research is to evaluate the p…
Enhanced CBF Packet Filtering Method to Detect DDoS Attack in Cloud Computing Environment
Priyanka Negi, Anupama Mishra, B. B. Gupta
Tremendous and extraordinary growths in the field of internet, intranet, extranet and its users have developed an innovative era of great global competition and contention. Denial…