5 citations · 24 across the 12 of their papers we have counts for
12 papers
Towards xApp Conflict Evaluation with Explainable Machine Learning and Causal Inference in O-RAN
Pragya Sharma, Shihua Sun, Shachi Deshpande +2
The Open Radio Access Network (O-RAN) architecture enables a flexible, vendor-neutral deployment of 5G networks by disaggregating base station components and supporting third-party…
ViTGuard: Attention-aware Detection against Adversarial Examples for Vision Transformer
Shihua Sun, Kenechukwu Nwodo, Shridatt Sugrim +2
The use of transformers for vision tasks has challenged the traditional dominant role of convolutional neural networks (CNN) in computer vision (CV). For image classification tasks…
FedMADE: Robust Federated Learning for Intrusion Detection in IoT Networks Using a Dynamic Aggregation Method
Shihua Sun, Pragya Sharma, Kenechukwu Nwodo +2
The rapid proliferation of Internet of Things (IoT) devices across multiple sectors has escalated serious network security concerns. This has prompted ongoing research in Machine L…
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning
Shihua Sun, Shridatt Sugrim, Angelos Stavrou +1
Federated Learning (FL) exposes vulnerabilities to targeted poisoning attacks that aim to cause misclassification specifically from the source class to the target class. However, u…
5G-WAVE: A Core Network Framework with Decentralized Authorization for Network Slices
Pragya Sharma, Tolga Atalay, Hans-Andrew Gibbs +3
5G mobile networks leverage Network Function Virtualization (NFV) to offer services in the form of network slices. Each network slice is a logically isolated fragment constructed b…
A First Look at 5G Core Deployments on Public Cloud: Performance Evaluation of Control and User Planes
Tolga O. Atalay, Dragoslav Stojadinovic, Alireza Famili +2
The Fifth Generation (5G) mobile core network is designed as a set of Virtual Network Functions (VNFs) hosted on Commercial-Off-the-Shelf (COTS) hardware. This creates a growing de…
Securing 5G OpenRAN with a Scalable Authorization Framework for xApps
Tolga O. Atalay, Sudip Maitra, Dragoslav Stojadinovic +2
The ongoing transformation of mobile networks from proprietary physical network boxes to virtualized functions and deployment models has led to more scalable and flexible network a…
iDROP: Robust Localization for Indoor Navigation of Drones with Optimized Beacon Placement
Alireza Famili, Angelos Stavrou, Haining Wang +2
Drones in many applications need the ability to fly fully or partially autonomously to accomplish their mission. To allow these fully/partially autonomous flights, first, the drone…
OPTILOD: Optimal Beacon Placement for High-Accuracy Indoor Localization of Drones
Alireza Famili, Angelos Stavrou, Haining Wang +2
For many applications, drones are required to operate entirely or partially autonomously. To fly completely or partially on their own, drones need access to location services to ge…
PILOT: High-Precision Indoor Localization for Autonomous Drones
Alireza Famili, Angelos Stavrou, Haining Wang +2
In many scenarios, unmanned aerial vehicles (UAVs), aka drones, need to have the capability of autonomous flying to carry out their mission successfully. In order to allow these au…
RAIL: Robust Acoustic Indoor Localization for Drones
Alireza Famili, Angelos Stavrou, Haining Wang +2
Navigating in environments where the GPS signal is unavailable, weak, purposefully blocked, or spoofed has become crucial for a wide range of applications. A prime example is auton…
Securing your Airspace: Detection of Drones Trespassing Protected Areas
Alireza Famili, Angelos Stavrou, Haining Wang +3
There has been a rapid growth in the deployment of Unmanned Aerial Vehicles (UAVs) in various applications ranging from vital safety-of-life such as surveillance and reconnaissance…