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Software-Defined Networking (SDN) is another technology that has been developing in the last few years as a relevant technique to improve network programmability and administration. Nonetheless, its centralized design presents a major…

密码学与安全 · 计算机科学 2026-04-24 Ashikuzzaman , Md. Saifuzzaman Abhi , Mahabubur Rahman , Md. Manjur Ahmed , Md. Mehedi Hasan , Md. Ahsan Arif

Software-Defined Network (SDN) is expected to have a significant impact on future networking. Although exciting progress has been made toward realizing SDN, application of this new networking paradigm in the future Internet to support…

网络与互联网体系结构 · 计算机科学 2018-03-29 Qiang Duan , Chonggang Wang , Xiaolin Li

Semantic communication has emerged as a promising paradigm for enhancing communication efficiency in sixth-generation (6G) networks. However, the broadcast nature of wireless channels makes SemCom systems vulnerable to eavesdropping, which…

信息论 · 计算机科学 2025-04-01 Shunpu Tang , Yuhao Chen , Qianqian Yang , Ruichen Zhang , Dusit Niyato , Zhiguo Shi

"Distributed Identity" refers to the transition from centralized identity systems using Decentralized Identifiers (DID) and Verifiable Credentials (VC) for secure and privacy-preserving authentications. With distributed identity, control of…

密码学与安全 · 计算机科学 2025-01-17 Sina Ahmadi

Current practices for reporting the level of differential privacy (DP) protection for machine learning (ML) algorithms such as DP-SGD provide an incomplete and potentially misleading picture of the privacy guarantees. For instance, if only…

Aiming at the privacy preservation of dynamic Web service composition, this paper proposes a SDN-based runtime security enforcement approach for privacy preservation of dynamic Web service composition. The main idea of this approach is that…

密码学与安全 · 计算机科学 2021-05-28 Yunfei Meng , Zhiqiu Huang , Guohua Shen , Changbo Ke

Software Defined Networking (SDN) has brought significant advancements in network management and programmability. However, this evolution has also heightened vulnerability to Advanced Persistent Threats (APTs), sophisticated and stealthy…

密码学与安全 · 计算机科学 2024-11-12 Hedyeh Nazari , Abbas Yazdinejad , Ali Dehghantanha , Fattane Zarrinkalam , Gautam Srivastava

The ongoing trend of moving data and computation to the cloud is met with concerns regarding privacy and protection of intellectual property. Cloud Service Providers (CSP) must be fully trusted to not tamper with or disclose processed data,…

密码学与安全 · 计算机科学 2021-07-14 Luca Wilke , Jan Wichelmann , Florian Sieck , Thomas Eisenbarth

Recent years witnessed a surge in network traffic due to the emergence of new online services, causing periodic saturation and complexity problems. Additionally, the growing number of IoT devices further compounds the problem. Software…

网络与互联网体系结构 · 计算机科学 2024-01-18 Jaime Tamayo , Lorena Isabel Barona López , Ángel Leonardo Valdivieso Caraguay

Intel Trust Domain Extensions (TDX) is a new architectural extension in the 4th Generation Intel Xeon Scalable Processor that supports confidential computing. TDX allows the deployment of virtual machines in the Secure-Arbitration Mode…

Software Defined Networking (SDN) is a novel network management technology, which currently attracts a lot of attention due to the provided capabilities. Recently, different works have been devoted to testing / verifying the (correct)…

网络与互联网体系结构 · 计算机科学 2020-09-22 Igor Burdonov , Alexandre Kossachev , Nina Yevtushenko , Jorge López , Natalia Kushik , Djamal Zeghlache

Semidefinite programming (SDP) provides a principled framework for convex relaxations of nonconvex geometric constraints in motion planning, yet existing solvers are too computationally expensive for real-time control, particularly on…

As deep learning models are usually massive and complex, distributed learning is essential for increasing training efficiency. Moreover, in many real-world application scenarios like healthcare, distributed learning can also keep the data…

机器学习 · 计算机科学 2020-08-24 Jie Xu , Wei Zhang , Fei Wang

IPv6 dependability is increasingly inseparable from IPv6 security: Neighbor Discovery (ND), Router Advertisements (RA), and ICMPv6 are essential for correct operation yet expose a broad attack surface for spoofing and flooding. Meanwhile,…

网络与互联网体系结构 · 计算机科学 2026-02-10 Walid Aljoby , Mohammed Alzayani , Md. Kamrul Hossain , Khaled A. Harras

Recently emerged 6G space-air-ground integrated networks (SAGINs), which integrate satellites, aerial networks, and terrestrial communications, offer ubiquitous coverage for various mobile applications. However, the highly dynamic, open,…

密码学与安全 · 计算机科学 2025-05-08 Qi Qin , Xinye Cao , Guoshun Nan , Sihan Chen , Rushan Li , Li Su , Haitao Du , Qimei Cui , Pengxuan Mao , Xiaofeng Tao , Tony Q. S. Quek

The vanilla Differentially-Private Stochastic Gradient Descent (DP-SGD), including DP-Adam and other variants, ensures the privacy of training data by uniformly distributing privacy costs across training steps. The equivalent privacy costs…

机器学习 · 计算机科学 2022-01-19 Jian Du , Song Li , Xiangyi Chen , Siheng Chen , Mingyi Hong

In today's increasingly interconnected and fast-paced digital ecosystem, mobile networks, such as 5G and future generations such as 6G, play a pivotal role and must be considered as critical infrastructures. Ensuring their security is…

密码学与安全 · 计算机科学 2025-05-15 Loay Abdelrazek , Rim ElMalki , Filippo Rebecchi , Daniel Cho

Sixth-generation (6G) networks are evolving towards new features and order-of-magnitude enhancement of systematic performance metrics compared to the current 5G. In particular, the 6G networks are expected to achieve extreme connectivity…

With the evolution of 6G, semantic communication has emerged as a promising paradigm by prioritizing the delivery of task-relevant meaning over strict bit-level correctness. However, existing transport mechanisms still rely on explicit port…

信号处理 · 电气工程与系统科学 2026-05-05 Yunhao Wang , Shuai Ma , Bin Shen , Shouhan Shi , Youlong Wu , Guangming Shi , Xiang Cheng

Adversarial examples that fool machine learning models, particularly deep neural networks, have been a topic of intense research interest, with attacks and defenses being developed in a tight back-and-forth. Most past defenses are best…

机器学习 · 统计学 2019-05-30 Mathias Lecuyer , Vaggelis Atlidakis , Roxana Geambasu , Daniel Hsu , Suman Jana