Detection of Distributed Denial of Service (DDoS) Attacks Using Artificial Intelligence on Cloud
| Title | Detection of Distributed Denial of Service (DDoS) Attacks Using Artificial Intelligence on Cloud |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Alzahrani, S., Hong, L. |
| Conference Name | 2018 IEEE World Congress on Services (SERVICES) |
| Publisher | IEEE |
| ISBN Number | 978-1-5386-7374-4 |
| Keywords | Amazon public cloud, Anomaly, anomaly-based distributed artificial neural networks, artificial intelligence, artificial intelligence security, Artificial neural networks, cloud, cloud computing, composability, Computer crime, Computer hacking, computer network security, DDoS, DDoS attack detection, Detectors, digital signatures, distributed denial of service attacks, feature extraction, Human Behavior, Intrusion detection, Metrics, Neural, neural nets, pubcrawl, Resiliency, signature, signature-based approach, Spark |
| Abstract | This research proposes a system for detecting known and unknown Distributed Denial of Service (DDoS) Attacks. The proposed system applies two different intrusion detection approaches anomaly-based distributed artificial neural networks(ANNs) and signature-based approach. The Amazon public cloud was used for running Spark as the fast cluster engine with varying cores of machines. The experiment results achieved the highest detection accuracy and detection rate comparing to signature based or neural networks-based approach. |
| URL | https://ieeexplore.ieee.org/document/8495783 |
| DOI | 10.1109/SERVICES.2018.00031 |
| Citation Key | alzahrani_detection_2018 |
- Detectors
- Spark
- signature-based approach
- signature
- Resiliency
- pubcrawl
- neural nets
- Neural
- Metrics
- Intrusion Detection
- Human behavior
- feature extraction
- distributed denial of service attacks
- digital signatures
- Amazon public cloud
- DDoS attack detection
- DDoS
- computer network security
- Computer hacking
- Computer crime
- composability
- Cloud Computing
- cloud
- Artificial Neural Networks
- artificial intelligence security
- Artificial Intelligence
- anomaly-based distributed artificial neural networks
- Anomaly