Results 31 to 40 of about 214,208 (273)
Detection of Distributed Denial of Service Attacks for IoT-Based Healthcare Systems
Computer Assisted Methods in Engineering and Science, 2022 One of the major common assaults in the current Internet of things (IoT) network-based healthcare infrastructures is distributed denial of service (DDoS).
Gaganjot Kaur, Prinima Gupta
doaj +1 more source
Real-time DDoS attack detection based on deep learning
Dianxin kexue, 2017 Distributed denial of service (DDoS) is a special form of denial of service (DoS) attack based on denial of service(DoS).It is a distributed,collaborative large-scale network attack.A DDoS detection method based on deep learning was presented.The method ...
Chuanhuang LI +5 more
doaj +2 more sources
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
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Mitigation of Distributed Denial of Service Attacks in the Cloud
Cybernetics and Information Technologies, 2017 Cybersecurity attacks resulting in loss of availability of cloud services can have significantly higher impact than those in the traditional stand-alone enterprise setups.
Alosaimi Wael +4 more
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Impact of Distributed Denial-of-Service Attack on Advanced Metering Infrastructure [PDF]
, 2015 The age of Internet of Things has brought in new challenges specifically in areas such as security. The evolution of classic power grids to smart grids is a prime example of how everything is now being connected to the Internet.
Asri, Satin, Pranggono, Bernardi
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Distributed Denial of Service Attack Detection
, 2020 Distributed Denial of Service (DDoS) attacks has been a persistent threat for network and applications. Successful attacks can lead to inaccessible service to legitimate users in time and loss of business reputation. In this paper, we explore DDoS attack detection using Term Frequency (TF)-Inverse Document Frequency (IDF) and Latent Semantic Indexing ...
Travis Blue, Hossain Shahriar
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Distributed Denial-of-Service Characterization [PDF]
, 2003 Distributed denial of service (DoS) attacks on cyber-resources are complex problems that are difficult to completely define, characterize, and mitigate. We recognize the process-nature of DoS attacks and view them from multiple perspectives. Identification of opportunities for mitigation and further research may result from this attempt to characterize
Draelos, Timothy J. +7 more
openaire +2 more sources
Active router approach to defeating denial-of-service attacks in networks [PDF]
, 2007 Denial-of-service attacks represent a major threat to modern organisations who are increasingly dependent on the integrity of their computer networks. A new approach to combating such threats introduces active routers into the network architecture. These
El-Moussa, FA, Hope, MD, Linge, N
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Improving distributed denial of service attack detection using supervised machine learning
Measurement: Sensors, 2023 Distributed denial-of-service (DDoS) attacks are a big problem for cyber security because they can cause a lot of damage to both people and companies. Distributed Denial of Service (DDoS) attacks have been seen to do a lot of damage to the networks and ...
Afrah Fathima +2 more
doaj +1 more source
Future Internet, 2023 Software-Defined Networking (SDN) stands as a pivotal paradigm in network implementation, exerting a profound influence on the trajectory of technological advancement. The critical role of security within SDN cannot be overstated, with distributed denial
Evangelos D. Spyrou +2 more
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