Abstract: TPL detection is crucial to Android malware analysis. Recent research emphasizes signature-based methods. Previous methods have limitations like high time complexity and low precision, especially with similar TPLs and different TPL versions. LibRoad, a…
Abstract: Road safety depends on drivers’ physical and mental health as they spend more time driving. Drivers’ breathing patterns indicate their health. Existing breathing monitoring studies require user participation by wearing sensors or sleeping in…
Abstract: 5G networks will support many new services and applications with diverse QoS requirements like high data rates and low E2E latency. Moving computation to the network edge reduces E2E latency. However, edge nodes have…
Abstract: Underwater acoustic sensor networks (UASNs) have been promoted for developing marine applications that require sensor nodes to work together. An associated trust model evaluates node trustworthiness and detects defective nodes, such as during network…
Abstract: This project proposes a joint transceiver beamforming design method for hybrid full-duplex (FD) and half-duplex (HD) ad-hoc networks to cancel co-channel interference and improve system spectral efficiency. Using a stochastic geometry model, we derive…
Abstract: Many IoT devices lack keyboards and screens for entering passwords or changing defaults. These devices have trouble bootstrapping trust. We solve device pairing without secrets. Pairing is a two-step process that requires mutual authentication…
Abstract: F-BSs improve user experience with content caching. F-BSs’ storage size is usually small compared to their content library, so content placement must be optimized for user association (UA), networking issues, and content retransmissions. Content-centric…
Abstract: Vehicular edge computing (VEC) is a promising paradigm based on the Internet of vehicles to provide computing resources for end users and reduce cellular network traffic. This paper considers a VEC network with dynamic…
Abstract: Identity-based attacks (IBAs) are a major wireless network threat. RSS is becoming more popular for wireless network IBA detection. Current mobile schemes generate too many false alarms. This project proposes a stronger Reciprocal Channel…
Abstract: Mobile traffic forecasting with high accuracy is essential for proactive network service provisioning and efficient network resource allocation in smart cities due to the rapid development of mobile cellular technologies and the rising popularity…
Abstract: Edge computing dominates networking research. Processing demand has skyrocketed as data analytics-based mobile apps proliferate. Edge networks (EN), a wireless ad-hoc network of mobile cloudlets, vehicular cloudlets, dedicated edge devices, and cloud platforms, can…
Abstract: Inter-node distance measurements are crucial for network topology inference. Sparse distance measurements can lead to ambiguous realizations that differ greatly from the ground truth. Separators, 2D and 3D binary and triple vertex cut sets,…
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