Results 81 to 90 of about 13,413,861 (210)
GA‐ANN: An Efficient Hybrid Deep Learning Scheme for Network Intrusion Detection in IoT
SECURITY AND PRIVACY, Volume 9, Issue 4, July/August 2026.ABSTRACT Intrusion detection systems (IDS) are critical to the security of the dynamic internet of things (IoT) environment. The integration of Artificial Intelligence (AI) into IDS has substantially improved network security. Particularly, deep learning techniques have shown strong potential in addressing IoT security challenges.
Naveed Ahmed +4 more
wiley +1 more source
Hypothesis Test for Low-rate DDoS Attack Detection in Cloud Computing Environment
Procedia Computer Science, 2018 Abstract Low-rate Distributed Denial of Service (LDoS) attack is another form of DDoS attack for disrupting the cloud services. It differs from DDoS attack in terms of attack volume. DDoS attacks usually have very high attack volume; however, LDoS have very low attack rate.
Kriti Bhushan, B.B. Gupta
openaire +1 more source
A Feature Analysis Based Identifying Scheme Using GBDT for DDoS with Multiple Attack Vectors
, 2019 In recent years, distributed denial of service (DDoS) attacks have increasingly shown the trend of multiattack vector composites, which has significantly improved the concealment and success rate of DDoS attacks.
Jian Zhang, Rui Jiang, Xi Li, Qidi Liang
core +1 more source
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
A review of detection approaches for distributed denial of service attacks
Systems Science & Control Engineering, 2017 Distributed Denial of Service (DDoS) attacks are the intimidation trials on the Internet that depletes the network bandwidth or exhausts the victim’s resources. Researchers have introduced various defense mechanisms (such as attack prevention, traceback,
Parneet Kaur +2 more
doaj +1 more source
Utilizing Random Forest for DDoS Attack Detection [PDF]
The “Distributed Denial of Service” (DDoS) attack represents one of the most common forms of cyber assaults. Top of FormThe goal of DDoS is to overwhelm the server machine with an overwhelming number of data packets.
Mishra , Anupama
core
Very Short Intermittent DDoS Attacks in an Unsaturated System
, 2018 We present a new class of low-volume application layer DDoS attack–Very Short Intermittent DDoS (VSI-DDoS). Such attack sends intermittent bursts (tens of milliseconds duration) of legitimate HTTP requests to the target website with the goal of degrading
Huasong Shan +5 more
core +1 more source
Defending against low-rate TCP attack: dynamic detection and protection. [PDF]
, 2005 Sun Haibin.Thesis (M.Phil.)--Chinese University of Hong Kong, 2005.Includes bibliographical references (leaves 89-96).Abstracts in English and Chinese.Abstract --- p.iChinese Abstract --- p.iiiAcknowledgement --- p.ivChapter 1 --- Introduction --- p ...
core
Visualizing TCP-SYN DDoS flooding attack.
Software Defined Network (SDN) has alleviated traditional network limitations but faces a significant challenge due to the risk of Distributed Denial of Service (DDoS) attacks against an SDN controller, with current detection methods lacking evaluation ...
Mohammed Anbar (6541496) +6 more
core +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