Results 41 to 50 of about 507,120 (213)
The time for reconstructing the attack graph in DDoS attacks
Journal of Mathematical Analysis and ApplicationsDespite their frequency, denial-of-service (DoS\blfootnote{Denial of Service (DoS), Distributed Denial of Service (DDoS), Probabilistic Packet Marking (PPM), coupon collector's problem (CCP)}) and distributed-denial-of-service (DDoS) attacks are difficult to prevent and trace, thus posing a constant threat.
D. Barak-Pelleg, D. Berend
openaire +3 more sources
DDoS Attack and Mitigation [PDF]
, 2019 Distributed denial of service (DDoS) attack is a massive threat to the internet which has existed for decades now. Although various detection and defence mechanism have been developed in recent years, the volume of attacks is still rising on the internet.
Upreti, Naran
core
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
wiley +1 more source
Distributed Detection of DDOS Attack [PDF]
, 2011 Denial Of Service (DOS) and Distributed Denial Of Service (DDOS) attacks are attempts to make a server resources unavailable to its intended users. Information Security has three fundamental objectives: they are information integrity, condentiality and
K, Santhosh
core
DDoS attack detection method using cluster analysis
, 2008 Distributed Denial of Service (DDoS) attacks generate enormous packets by a large number of agents and can easily exhaust the computing and communication resources of a victim within a short period of time.
Kwon, Ki Hoon +9 more
core +1 more source
Cyber security risk assessment of a DDoS attack [PDF]
, 2016 This paper proposes a risk assessment process based on distinct classes and estimators, which we apply to a case study of a common communications security risk; a distributed denial of service attack (DDoS) attack.
Wangen, Gaute +2 more
core +2 more sources
DDoS Never Dies? An IXP Perspective on DDoS Amplification Attacks [PDF]
, 2021 To appear at PAM ...
Daniel Kopp +2 more
openaire +4 more sources
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 +3 more
wiley +1 more source
Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions
Software: Practice and Experience, Volume 56, Issue 12, Page 1538-1556, December 2026.ABSTRACT Context The rapid increase in cyber threats, coupled with increasingly sophisticated attack strategies and the exponential growth of data in recent years, has exposed significant limitations in classical machine learning, rule‐based, and signature‐based defense mechanisms.
Siva Sai +5 more
wiley +1 more source
Protecting information systems from DDoS attack using multicore methodology
, 2008 Protecting Information Systems from DDoS Attack Using Multicore ...
Xiang, Yang. +11 more
core +1 more source