Results 51 to 60 of about 6,132 (205)

Geometric Characterization of LEO–GEO Inter‐Satellite Links for Bidirectional Communications

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT Incorporating geosynchronous Earth orbit (GEO) and low Earth orbit (LEO) satellites can extend communication services far beyond the reach of terrestrial infrastructure. A key enabler of such architectures is the establishment of inter‐satellite links (ISLs) between LEOs and GEOs to support bidirectional communications.
Muhammad Furqan, Lingfeng Ye, Yanming Feng   +2 more
wiley   +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

Privacy-Preserving and Security in SDN-Based IoT: A Survey

IEEE Access, 2023
In recent years, the use of Software Defined Networking (SDN) has increased due to various network management requirements. Using SDN in computer network applications has brought several benefits to users, including lower operational costs, better ...
Hossein Ahmadvand, Chhagan Lal, Hadi Hemmati, Mehdi Sookhak, Mauro Conti   +4 more
doaj   +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

The Challenges in ML-Based Security for SDN [PDF]

2018 2nd Cyber Security in Networking Conference (CSNet), 2018
Machine learning (ML) is gaining popularity in the network security domain as more network-enabled devices get connected, as malicious activities become stealthier, and as new technologies like Software Defined Networking (SDN) emerge. From the application layer, ML-based SDN security models control the routing/switching of an entire Software Defined ...
openaire   +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

Study of SDN intrusion intent identification algorithm based on Bayesian attack graph

Tongxin xuebao, 2023
Since the existing software defined network (SDN) security prediction methods do not consider the attack cost and the impact of controller vulnerabilities on SDN security, a Bayesian attack graph-based algorithm to assessing SDN intrusion intent was ...
Zhiyong LUO, Yu ZHANG, Qing WANG, Weiwei SONG   +3 more
doaj   +2 more sources

Secure Collecting, Optimizing, and Deploying of Firewall Rules in Software-Defined Networks

IEEE Access, 2020
Firewalls are a fundamental element of network security systems with the ability to block network data traffic flows according to pre-defined rules.
Sunghwan Kim, Seunghyun Yoon, Jargalsaikhan Narantuya, Hyuk Lim   +3 more
doaj   +1 more source

Network intrusion detection in software defined networking with self-organized constraint-based intelligent learning framework

Measurement: Sensors, 2022
With the advent of internet and communication system, a huge number of opportunities have been presented to humans, however, its vision will not be easy and comfortable. Instead the current network systems are filled up with slew of problems that must be
Anurag Bhardwaj, Ritu Tyagi, Neha Sharma, Akhilendra Khare, Manbir Singh Punia, Vikash Kumar Garg   +5 more
doaj   +1 more source

Equity–Equality Tensions in Police Social Media Communication With Socially Disadvantaged Neighbourhoods: The Case of Instagram

Information Systems Journal, EarlyView.
ABSTRACT This study draws on Instagram‐related data to examine how and why the equity and equality principles of fairness govern police communication with socially disadvantaged neighbourhoods on social media. Using the computationally intensive theory construction methodology and drawing on institutional theory and the framework for the interplay of ...
Nataliya Berbyuk Lindström, Hamid Khobzi, Ofir Turel   +2 more
wiley   +1 more source