IEEE/ACM Transactions on Networking

A key feature of federated learning (FL) is to preserve the data privacy of end users. However, there still exist potential privacy leakage in exchanging gradients under FL. As a result, recent research often explores the differential privacy (DP) ...

We investigate the capacity of an adversary to learn the underlying interaction network through repeated best response actions in linear-quadratic games. The adversary strategically perturbs the decisions of a set of action-compromised players and ...

Consistent routing updates through Software-Defined Networking (SDN) can be difficult due to the asynchronous and distributed nature of the data plane. Recent studies have achieved consistent unicast routing updates. However, achieving consistent updates ...

This paper addresses the problem of scheduling real-time wireless flows with general traffic patterns in dynamic network conditions. The main goal is to maximize the fraction of packets to be delivered within their deadlines, which is referred to as ...

Training Graph Neural Networks (GNNs) on large graphs is resource-intensive and time-consuming, mainly due to the large graph data that cannot be fit into the memory of a single machine, but have to be fetched from distributed graph storage and processed ...

Packet level measurement in the data plane provides a microscopic view of the network’s state. Although advances in programmable switches and routers make it possible to measure the Sequence of Packet Lengths and Arrival Times (SPLT) in the data ...

Live video streaming has come to dominate today’s Internet traffic. Content Delivery Network (CDN) providers, responsible for hosting outsourced live streaming services, are now striving to ensure an enhanced quality of experience (QoE) to meet the ...

Sparse Mobile CrowdSensing (MCS) aims to reduce sensing cost while ensuring high task quality by intelligently selecting small regions for sensing and accurately inferring the remaining areas. Data inference and cell selection are crucial components in ...

The approximate membership query (AMQ) data structure is a kind of space-efficient probabilistic data structure. It can approximately indicate whether an element exists in a set. The AMQ data structure has been widely used in network measurements, network ...

Covert channel, which can break the logical protections of the computer system and leak confidential or sensitive information, has long been considered a security issue in the network research community. However, recent research has shown that cooperative ...

Topology design is vital to the high performance data center networks. Due to the limited scalability, many traditional server-centric data center networks are confronting the updating and upgrading hurdles. To address the issue, this paper proposes a ...

In this paper, we analyze the impact of data freshness on remote inference systems, where a pre-trained neural network infers a time-varying target (e.g., the locations of vehicles and pedestrians) based on features (e.g., video frames) observed at a ...

Satellite-terrestrial integrated networks (STNs) are considered a promising architecture for 6G networks due to their ability to provide ubiquitous, high-capacity coverage on a global scale by combining satellite and terrestrial network infrastructures. ...

Device fingerprinting can be used by Internet Service Providers (ISPs) to identify vulnerable IoT devices for early prevention of threats. However, due to the wide deployment of middleboxes in ISP networks, some important data, e.g., 5-tuples and flow ...

Fast Internet-wide scanning is essential for network situational awareness and asset evaluation. However, the vast IPv6 address space makes brute-force scanning infeasible. Despite advancements in state-of-the-art methods, they do not work in seedless ...

WiFi backscatter has attracted intensive attention because the large population of WiFi radios can provide plenty of excitation signals. However, WiFi backscatter communication has imposed unwanted constraints on either exciters or receivers since its ...

Weighted fair queueing (WFQ) is an essential strategy for enforcing bandwidth guarantee and isolation in high-speed networks. Unfortunately, implementing the original WFQ packet scheduling algorithm on today’s commodity switch hardware is ...

As datacenter networks continue to support a wider range of applications and faster link speeds, they face the challenge of managing bursty traffic and transient congestion. End-to-end congestion controls (CCs) find it increasingly difficult to maintain ...

We present a comprehensive study on applying machine learning to detect distributed Denial of service (DDoS) attacks using large-scale Internet of Things (IoT) systems. While prior works and existing DDoS attacks have largely focused on individual nodes ...

Anomaly-based network intrusion detection systems (NIDSs) are essential for ensuring cybersecurity. However, the security communities realize some limitations when they put most existing proposals into practice. The challenges are mainly concerned with (i)...

Cloud service providers often provision excessive resources to meet the desired Service Level Objectives (SLOs), by setting lower CPU utilization targets. This can result in a waste of resources and a noticeable increase in power consumption in large-...

Traditional user profiling techniques rely on browsing history or purchase records to identify users’ willingness to pay. This enables sellers to offer personalized prices to profiled users while charging only a uniform price to non-profiled users. ...

In a multi-tenant cloud, the cloud service provider (CSP) leases physical resources to tenants in the form of virtual machines (VMs) with an agreed service level agreement (SLA). As the most important indicator of SLA, we should guarantee the service ...

Recent years have witnessed enormous research efforts on WiFi sensing to enable intelligent services of Internet of Things. However, due to the omni-directional broadcasting manner of WiFi signals, the activity semantic underlying the signals can be ...

In real-world networks, we regularly face the effect of propagating failures over networks, for example, rumors spread over social networks, outages spread over power networks, viruses spread over communication and biological networks. Often, these ...

IPv6 has shown notable growth in recent years, imposing the need for high-speed IPv6 lookup. As the forwarding rate of virtual switches continues increasing, software-based IPv6 lookup without using special hardware such as TCAM, GPU, and FPGA is of ...

We revisit the problem of missing tag identification in RFID networks by making three contributions. Firstly, we quantitatively compare and gauge the existing propositions spanning over a decade on missing tag identification. We show that the expected ...

We consider a communication system where a base station (BS) transmits update packets to N users, one user at a time, over a wireless channel. We investigate the age of this status updating system with an adversary that jams the update packets in the ...

Fast-advancing mobile communication technologies have increased the scale of the Internet of Things (IoT) dramatically. However, this poses a tough challenge to the robustness of IoT networks when the network scale is large. In this paper, we present DAC-...

Networks of large scales are an essential component in supercomputing systems as well as in data centers. As the network scale increases, the probability of processor/server failures also inevitably increases. It is therefore a worthwhile undertaking to ...