Results 21 to 30 of about 61,931 (258)
On Implementation of Efficient Inline DDoS Detector Based on AATAC Algorithm [PDF]
International Journal of Electronics and Telecommunications, 2022 Distributed Denial of Service (DDoS) attacks constitute a major threat in the current Internet. These cyber-attacks aim to flood the target system with tailored malicious network traffic overwhelming its service capacity and consequently severely ...
Piotr Wiśniewski +2 more
doaj +1 more source
FLAD: Adaptive Federated Learning for DDoS Attack Detection [PDF]
Computers & security, 2022 Federated Learning (FL) has been recently receiving increasing consideration from the cybersecurity community as a way to collaboratively train deep learning models with distributed profiles of cyber threats, with no disclosure of training data ...
R. D. Corin, D. Siracusa
semanticscholar +1 more source
DDoS-Capable IoT Malwares: comparative analysis and Mirai Investigation [PDF]
, 2018 The Internet of Things (IoT) revolution has not only carried the astonishing promise to interconnect a whole generation of traditionally “dumb” devices, but also brought to the Internet the menace of billions of badly protected and easily hackable ...
De Donno, Michele +3 more
core +4 more sources
A Low-Cost Distributed Denial-of-Service Attack Architecture
IEEE Access, 2020 With the advent of Internet-of-Things (IoT) age, IoT-based distributed denial-of-service (DDoS) attacks have become the mainstream of DDoS attacks. This paper is devoted to exploring the possibility of launching an IoT-based DDoS attack at an extremely ...
Kaifan Huang +4 more
doaj +1 more source
AntibIoTic: Protecting IoT Devices Against DDoS Attacks [PDF]
, 2017 The 2016 is remembered as the year that showed to the world how dangerous Distributed Denial of Service attacks can be. Gauge of the disruptiveness of DDoS attacks is the number of bots involved: the bigger the botnet, the more powerful the attack.
De Donno, Michele +3 more
core +2 more sources
IEEE Access, 2023 The absence of standards and the diverse nature of the Internet of Things (IoT) have made security and privacy concerns more acute. Attacks such as distributed denial of service (DDoS) are becoming increasingly widespread in IoT, and the need for ways to
Walid I. Khedr +2 more
semanticscholar +1 more source
J. Sens. Actuator Networks, 2023 In recent times, distributed denial of service (DDoS) has been one of the most prevalent security threats in internet-enabled networks, with many internet of things (IoT) devices having been exploited to carry out attacks.
K. Adedeji, A. Abu-Mahfouz, A. Kurien
semanticscholar +1 more source
ForChaos: Real Time Application DDoS detection using Forecasting and Chaos Theory in Smart Home IoT Network [PDF]
, 2019 Recently, D/DoS attacks have been launched by zombie IoT devices in smart home networks. They pose a great threat to to network systems with Application Layer DDoS attacks being especially hard to detect due to their stealth and seemingly legitimacy.
Douligeris, C. +2 more
core +1 more source
Artificial Intelligence in Network Security with Autonomous Threat Response Systems [PDF]
Iranian Journal of Information Processing & ManagementBackground: With the continued advance in cyber threats, traditional network security systems offer little returns to organizations. AI has turned out to be a useful technology in improving network security because it proactively identifies and responds ...
Mohammed Abdul Jaleel Maktoof +4 more
doaj +1 more source
JOIV: International Journal on Informatics Visualization, 2022 The development of computing technology in increasing the accessibility and agility of daily activities currently uses the Internet of Things (IoT). Over time, the increasing number of IoT device users impacts access and delivery of valuable data.
Alam Rahmatulloh +4 more
doaj +1 more source