Results 61 to 70 of about 9,115 (220)

Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning

SmartBot, EarlyView.
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo, Rodrigo S. Jamisola Jr., Molaletsa Namoshe   +2 more
wiley   +1 more source

Mitigasi Distributed Denial Of Service(DDoS) Attack Pada Arsitektur Software Defined Network (SDN)

Techno.Com, 2022
Pada era globalisasi perkembangan teknologi informasi telah semakin canggih dan berkembang sangat pesat serta keamanan jaringan komputer begitu penting untuk diterapkan dalam teknologi informasi, dimana keamanan jaringan digunakan untuk mengidentifikasi ...
Tamsir Ariyadi, Aan Restu Mukti, Heru Saputra   +2 more
doaj   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source

Practical extensions to countermeasure DoS attacks in software defined networking

, 2017
In this paper, we propose two simple and practically feasible countermeasures to address the Route Spoofing and Resource Exhaustion attacks in Software Defined Networking (SDN) scenarios.
Conti M., Keshtgary M., Mohammadi R., Javidan R., Lal C.   +4 more
core   +1 more source

Enterprise Network Security Using Few‐Shot Meta‐Learning

Artificial Intelligence for Engineering, EarlyView.
This paper involves a few‐shot learning study that uses model‐agnostic meta‐learning. A meta‐dataset was curated by combining six benchmark network intrusion detection datasets by parsing network traffic data from PCAP files. An MAML model performs meta‐training, validation and meta‐testing before and after fine‐tuning.
Sushant Jain, Sumukh Gupta, Amit Pundir, Sanjeev Singh, Geetika Jain Saxena   +4 more
wiley   +1 more source

An SDN-Based Vehicular Networking Platform for Mobility-Aware QoS and Handover Evaluation

Applied Sciences
Vehicular Ad Hoc Networks (VANETs) are a key enabler of intelligent transportation systems, supporting safety-critical and latency-sensitive applications through vehicle-to-vehicle and vehicle-to-infrastructure communications. However, high node mobility,
Faethon Antonopoulos, Eirini Liotou
doaj   +1 more source

Cognitive Software Defined Networking and Network Function Virtualization and Applications

Future Internet, 2023
The emergence of Software-Defined Networking (SDN) and Network Function Virtualization (NFV) has revolutionized the Internet. Using SDN, network devices can be controlled from a centralized, programmable control plane that is decoupled from their data ...
Sachin Sharma, Avishek Nag
doaj   +1 more source

Graph neural network‐based attack prediction for communication‐based train control systems

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao, Tao Tang, Bing Bu, Qichang Li   +3 more
wiley   +1 more source

Formal model and Policy specification for software defined networks

Journal of Kufa for Mathematics and Computer, 2016
Software-defined networking SDN is gaining a sharp increase in adoption by very well-known companies Like Google and Microsoft. Currently, the two stands out reliability and security are the most issues that hampering the SDN rapid growth.
DAWOOD SALMAN JASIM AL-FARTTOOSI
doaj   +1 more source

Securing SDN controller placement with MuZero and blockchain-based smart contracts

Journal of King Saud University: Computer and Information Sciences
Software-Defined Networking (SDN) has revolutionized network administration with its unparalleled flexibility and programmability. The secure placement of controllers within a Software-Defined Networking framework remains a significant challenge.
Ouafae Benoudifa, Abderrahim Ait Wakrime, Redouane Benaini   +2 more
doaj   +1 more source