7 citations · 43 across the 68 of their papers we have counts for
10 papers · 1 filter
Evading Malware Analysis Using Reverse Execution
Adhokshaj Mishra, Animesh Roy, Manjesh Kumar Hanawal
Malware is a security threat, and various means are adapted to detect and block them. In this paper, we demonstrate a method where malware can evade malware analysis. The method is…
Profit Sharing Contracts between Content and Service Providers for Enhanced Network Quality
Fehmina Malik, Manjesh K. Hanawal Yezekael Hayel
It has been a long demand of Internet Service Providers (ISPs) that the Content Providers (CPs) share their profits for investments in network infrastructure. In this paper, we stu…
FairNet: A Measurement Framework for Traffic Discrimination Detection on the Internet
Vinod S. Khandkar, Manjesh K. Hanawal
Network neutrality is related to the non-discriminatory treatment of packets on the Internet. Any deliberate discrimination of traffic of one application while favoring others viol…
Continuous Time Bandits With Sampling Costs
Rahul Vaze, Manjesh K. Hanawal
We consider a continuous-time multi-arm bandit problem (CTMAB), where the learner can sample arms any number of times in a given interval and obtain a random reward from each sampl…
Federated Learning for Intrusion Detection in IoT Security: A Hybrid Ensemble Approach
Sayan Chatterjee, Manjesh K. Hanawal
Critical role of Internet of Things (IoT) in various domains like smart city, healthcare, supply chain and transportation has made them the target of malicious attacks. Past works…
Stochastic Multi-Armed Bandits with Control Variates
Arun Verma, Manjesh K. Hanawal
This paper studies a new variant of the stochastic multi-armed bandits problem where auxiliary information about the arm rewards is available in the form of control variates. In ma…
Censored Semi-Bandits for Resource Allocation
Arun Verma, Manjesh K. Hanawal, Arun Rajkumar +1
We consider the problem of sequentially allocating resources in a censored semi-bandits setup, where the learner allocates resources at each step to the arms and observes loss. The…
Unsupervised Learning of Explainable Parse Trees for Improved Generalisation
Atul Sahay, Ayush Maheshwari, Ritesh Kumar +3
Recursive neural networks (RvNN) have been shown useful for learning sentence representations and helped achieve competitive performance on several natural language inference tasks…
Challenges in Net Neutrality Violation Detection: A Case Study of Wehe Tool and Improvements
Vinod S. Khandkar, Manjesh K. Hanawal
We consider the problem of detecting deliberate traffic discrimination on the Internet. Given the complex nature of the Internet, detection of deliberate discrimination is not easy…
Masking Host Identity on Internet: Encrypted TLS/SSL Handshake
Vinod S. Khandkar, Manjesh K. Hanawal
Network middle-boxes often classify the traffic flows on the Internet to perform traffic management or discriminate one traffic against the other. As the widespread adoption of HTT…