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相关论文: A New Approach to DDoS Defense using SDN and NFV

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Botnets are prevailing mechanisms for the facilitation of the distributed denial of service (DDoS) attacks on computer networks or applications. Currently, Botnet-based DDoS attacks on the application layer are latest and most problematic…

密码学与安全 · 计算机科学 2012-08-03 Esraa Alomari , Selvakumar Manickam , B. B. Gupta , Shankar Karuppayah , Rafeef Alfaris

Distributed denial of service (DDoS) attack becomes a rapidly growing problem with the fast development of the Internet. The existing DDoS attack detection methods have time-delay and low detection rate. This paper presents a DDoS attack…

密码学与安全 · 计算机科学 2019-03-29 Jing Chen , Xiangyan Tang , Jieren Cheng , Fengkai Wang , Ruomeng Xu

The advantages of IoT in strengthening commercial, industrial, and social ecosystems have led to its widespread expansion. Nevertheless, because endpoint devices have limited computation, storage, and communication capabilities, the IoT…

密码学与安全 · 计算机科学 2025-08-19 Masoud Hayeri Khyavi

The development and implementation of Internet of Things (IoT) devices have been accelerated dramatically in recent years. As a result, a super-network is required to handle the massive volumes of data collected and transmitted to these…

密码学与安全 · 计算机科学 2023-11-14 Reem M. Alzhrani , Mohammed A. Alliheedi

The distributed edge storage system can store data collected at the edge of the network in a decentralised manner, with low latency, high security, and flexibility. Traditional edge-distributed storage systems only consider one single…

网络与互联网体系结构 · 计算机科学 2023-10-10 Yejin Yang , Miao Ye , Qiuxiang Jiang , Peng Wen

Denial of Service (DoS) attacks frequently happen on the Internet, paralyzing Internet services and causing millions of dollars of financial loss. This work presents NetFence, a scalable DoS-resistant network architecture. NetFence uses a…

网络与互联网体系结构 · 计算机科学 2010-09-02 Xin Liu , Xiaowei Yang , Yong Xia

Motivated by the transformative impact of deep neural networks (DNNs) in various domains, researchers and anti-virus vendors have proposed DNNs for malware detection from raw bytes that do not require manual feature engineering. In this…

密码学与安全 · 计算机科学 2021-10-26 Keane Lucas , Mahmood Sharif , Lujo Bauer , Michael K. Reiter , Saurabh Shintre

An increasing number of Internet of Things (IoT) devices are connecting to the Internet, yet many of these devices are fundamentally insecure, exposing the Internet to a variety of attacks. Botnets such as Mirai have used insecure consumer…

密码学与安全 · 计算机科学 2018-12-18 Rohan Doshi , Noah Apthorpe , Nick Feamster

Tremendous and extraordinary growths in the field of internet, intranet, extranet and its users have developed an innovative era of great global competition and contention. Denial of service attack by multiple nodes is accomplished of…

密码学与安全 · 计算机科学 2013-04-29 Priyanka Negi , Anupama Mishra , B. B. Gupta

The Internet of Things (IoT) is becoming a part of everyday life through its various sensing devices that collect valuable information. The huge number of interconnected heterogeneous IoT devices poses immense challenges, and network…

网络与互联网体系结构 · 计算机科学 2024-02-09 Mohamed Ali Zormati , Hicham Lakhlef

Denial of service (DoS) and Distributed Denial of Service (DDoS) attacks continue to threaten the reliability of networking systems. Previous approaches for protecting networks from DoS attacks are reactive in that they wait for an attack…

网络与互联网体系结构 · 计算机科学 2014-03-14 Madhulika Mool , Prajyoti Sabale , Sneha Parpelli , Shalaka Chowriwar , Nilesh Sambhe

Software-Defined Networking (SDN) paradigm provides many features including hardware abstraction, programmable networking and centralized policy control. One of the main benefits used along with these features is core/backhaul network…

网络与互联网体系结构 · 计算机科学 2016-09-27 Omer Narmanlioglu , Engin Zeydan

Recent increases in the computational demands of deep neural networks (DNNs), combined with the observation that most input samples require only simple models, have sparked interest in $input$-$adaptive$ multi-exit architectures, such as…

机器学习 · 计算机科学 2021-03-01 Sanghyun Hong , Yiğitcan Kaya , Ionuţ-Vlad Modoranu , Tudor Dumitraş

Deep neural networks (DNNs) are vulnerable to subtle adversarial perturbations applied to the input. These adversarial perturbations, though imperceptible, can easily mislead the DNN. In this work, we take a control theoretic approach to…

机器学习 · 计算机科学 2019-11-13 Arash Rahnama , Andre T. Nguyen , Edward Raff

Network slicing (NS) is a promising technology that supports diverse requirements for next-generation low-latency wireless communication networks. However, the tampering attack is a rising issue of jeopardizing NS service-provisioning. To…

信号处理 · 电气工程与系统科学 2024-03-18 Xin Hao , Phee Lep Yeoh , Changyang She , Yao Yu , Branka Vucetic , Yonghui Li

In recent times, deep neural networks (DNNs) have been successfully adopted for various applications. Despite their notable achievements, it has become evident that DNNs are vulnerable to sophisticated adversarial attacks, restricting their…

计算机视觉与模式识别 · 计算机科学 2025-11-03 Alik Pramanick , Mayank Bansal , Utkarsh Srivastava , Suklav Ghosh , Arijit Sur

Deep neural networks (DNNs) demonstrate superior performance in various fields, including scrutiny and security. However, recent studies have shown that DNNs are vulnerable to backdoor attacks. Several defenses were proposed in the past to…

机器学习 · 计算机科学 2020-10-26 Akshaj Veldanda , Siddharth Garg

With growing intermittency and uncertainty in distribution networks around the world, ensuring operational integrity is becoming challenging. Recent use cases of dynamic operating envelopes (DOEs) indicate that they can be utilized for…

系统与控制 · 电气工程与系统科学 2023-07-07 Md Umar Hashmi , Dirk Van Hertem

In the era of Industry 4.0, ensuring the resilience of cyber-physical systems against sophisticated cyber threats is increasingly critical. This study proposes a pioneering AI-based control framework that enhances short-term voltage…

系统与控制 · 电气工程与系统科学 2025-04-14 Yang Li , Shitu Zhang , Yuanzheng Li

Moving Target Defense (MTD) has emerged as a proactive and dynamic framework to counteract evolving cyber threats. Traditional MTD approaches often rely on assumptions about the attackers knowledge and behavior. However, real-world…

密码学与安全 · 计算机科学 2024-08-20 Megha Bose , Praveen Paruchuri , Akshat Kumar
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