Salma Abdalla Hamad

TL;DR: This survey investigates the major research efforts over the period of 2013–2019 that address IoT security and privacy issues and provides extensive discussions on securing cloud-based IoT solutions, which include access control, integrity, and authentication.

TL;DR: This paper analyzes a sequence of packets from its high-level network traffic and extracts unique flow-based features to create a fingerprint for each device, and proposes a security system model design that enables enforcement of rules for constraining the IoT device communications.

TL;DR: In this paper, the authors identify 10 key research topics and discuss the research problems and opportunities within these topics, as well as discuss the challenges and opportunities in these topics. But, they do not discuss the potential of these issues to be addressed.

TL;DR: 10 key research topics of the Internet of Things are identified and the research problems and opportunities within these topics are discussed.

TL;DR: This paper proposes a sampling technique and a graph convolutional operation to learn high-quality graph’s node embeddings, which differs from the traditional GCN approaches where a full graph adjacency matrix is needed for the embedding learning.