Improve cybersecurity of c-its road side infrastructure installations: the seriot-secure and safe iot approach

A Frötscher, B Monschiebl, A Drosou… - … Vehicles and Expo …, 2019 - ieeexplore.ieee.org
Cooperative Intelligent Transport Systems (C-ITS) need to be secured as it is deployed on
roads in Europe. While some aspects of the communication security are secured others …

Measurement based evaluation and mitigation of flood attacks on a lan test-bed

M Nasereddin, M Nakıp… - 2023 IEEE 48th …, 2023 - ieeexplore.ieee.org
The IoT is vulnerable to network attacks, and Intrusion Detection Systems (IDS) can provide
high attack detection accuracy and are easily installed in IoT Servers. However, IDS are …

Attack detection in smart home iot networks using clustream and page-hinkley test

FHY Nakagawa, SB Junior… - 2021 IEEE Latin …, 2021 - ieeexplore.ieee.org
The expansion of IoT device networks increases the demand for security systems that detect
attacks against these new targets. These devices have simple hardware, limited memory …

The random neural network as a bonding model for software vulnerability prediction

K Filus, M Siavvas, J Domańska, E Gelenbe - Modelling, Analysis, and …, 2021 - Springer
Software vulnerability prediction is an important and active area of research where new
methods are needed to build accurate and efficient tools that can identify security issues …

SH-IDS: specification heuristics based intrusion detection system for IoT networks

MJ Babu, AR Reddy - Wireless Personal Communications, 2020 - Springer
The loosely coupled independent hardware of any kind under internet protocol refers to the
Internet of Things (IoT). The IoT network has often framed by the composition of various …

Anomaly Detection IDS for Detecting DoS Attacks in IoT Networks Based on Machine Learning Algorithms

E Altulaihan, MA Almaiah, A Aljughaiman - Sensors, 2024 - mdpi.com
Widespread and ever-increasing cybersecurity attacks against Internet of Things (IoT)
systems are causing a wide range of problems for individuals and organizations. The IoT is …

Online Self-Supervised Deep Learning for Intrusion Detection Systems

M Nakıp, E Gelenbe - IEEE Transactions on Information …, 2024 - ieeexplore.ieee.org
This paper proposes a novel Self-Supervised Intrusion Detection (SSID) framework, which
enables a fully online Deep Learning (DL) based Intrusion Detection System (IDS) that …

Developing an infrastructure for secure patient summary exchange in the EU context: lessons learned from the KONFIDO project

P Natsiavas, G Mazzeo, G Faiella… - Health Informatics …, 2021 - journals.sagepub.com
Background: The increase of healthcare digitalization comes along with potential
information security risks. Thus, the EU H2020 KONFIDO project aimed to provide a toolkit …

Deep learning model for detection of attacks in the Internet of Things based smart home environment

R Bokka, T Sadasivam - … of International Conference on Recent Trends in …, 2021 - Springer
The number of devices getting connected to the internet is growing exponentially day by day
with the advent of the Internet of Things (IoT), commensurately in every domain of IoT attacks …

Associated random neural networks for collective classification of nodes in botnet attacks

E Gelenbe, M Nakıp - arXiv preprint arXiv:2303.13627, 2023 - arxiv.org
Botnet attacks are a major threat to networked systems because of their ability to turn the
network nodes that they compromise into additional attackers, leading to the spread of high …