Balancing QoS and security in the edge: Existing practices, challenges, and 6G opportunities with machine learning
While the emerging 6G networks are anticipated to meet the high-end service quality
demands of the mobile edge users in terms of data rate and delay satisfaction, new attack …
demands of the mobile edge users in terms of data rate and delay satisfaction, new attack …
Darknet as a source of cyber intelligence: Survey, taxonomy, and characterization
Today, the Internet security community largely emphasizes cyberspace monitoring for the
purpose of generating cyber intelligence. In this paper, we present a survey on darknet. The …
purpose of generating cyber intelligence. In this paper, we present a survey on darknet. The …
Investigating the prospect of leveraging blockchain and machine learning to secure vehicular networks: A survey
With recent developments in communication technologies, vehicular networks have become
a reality with various applications. However, the cybersecurity aspect of vehicular networks …
a reality with various applications. However, the cybersecurity aspect of vehicular networks …
LITNET-2020: An annotated real-world network flow dataset for network intrusion detection
Network intrusion detection is one of the main problems in ensuring the security of modern
computer networks, Wireless Sensor Networks (WSN), and the Internet-of-Things (IoT). In …
computer networks, Wireless Sensor Networks (WSN), and the Internet-of-Things (IoT). In …
Fuzzy logic based unequal clustering for wireless sensor networks
R Logambigai, A Kannan - Wireless Networks, 2016 - Springer
The primary challenges in outlining and arranging the operations of wireless sensor
networks are to enhance energy utilization and the system lifetime. Clustering is a powerful …
networks are to enhance energy utilization and the system lifetime. Clustering is a powerful …
[HTML][HTML] Botnet detection using graph-based feature clustering
Detecting botnets in a network is crucial because bots impact numerous areas such as cyber
security, finance, health care, law enforcement, and more. Botnets are becoming more …
security, finance, health care, law enforcement, and more. Botnets are becoming more …
Software-defined networking security: pros and cons
Software-defined networking (SDN) is a new networking paradigm that decouples the
forwarding and control planes, traditionally coupled with one another, while adopting a …
forwarding and control planes, traditionally coupled with one another, while adopting a …
An accurate and efficient collaborative intrusion detection framework to secure vehicular networks
H Sedjelmaci, SM Senouci - Computers & Electrical Engineering, 2015 - Elsevier
The advancement of wireless communication leads researchers to develop and conceive
the idea of vehicular networks, also known as vehicular ad hoc networks (VANETs). Security …
the idea of vehicular networks, also known as vehicular ad hoc networks (VANETs). Security …
Designing collaborative blockchained signature-based intrusion detection in IoT environments
With the rapid development of Internet-of-Things (IoT), there is an increasing demand for
securing the IoT environments. For such purpose, intrusion detection systems (IDSs) are one …
securing the IoT environments. For such purpose, intrusion detection systems (IDSs) are one …
An effect of big data technology with ant colony optimization based routing in vehicular ad hoc networks: Towards smart cities
SK Lakshmanaprabu, K Shankar, SS Rani… - Journal of cleaner …, 2019 - Elsevier
Rapid growth in urban population creates various kinds of issues like long hours traffic-jams,
pollution which makes the city life insecure and non-liveable. The concept of a smart city is …
pollution which makes the city life insecure and non-liveable. The concept of a smart city is …