Detection of DDOS attack using deep learning model in cloud storage application
In recent years, distributed denial of service (DDoS) attacks pose a serious threat to network
security. How to detect and defend against DDoS attacks is currently a hot topic in both …
security. How to detect and defend against DDoS attacks is currently a hot topic in both …
[PDF][PDF] DDoS attack intrusion detection system based on hybridization of CNN and LSTM
ASA Issa, Z Albayrak - Acta Polytechnica Hungarica, 2023 - researchgate.net
A distributed denial-of-service (DDoS) attack is one of the most pernicious threats to network
security. DDoS attacks are considered one of the most common attacks among all network …
security. DDoS attacks are considered one of the most common attacks among all network …
Training of information technology personnel through simulations for protection against cyber attacks
Nowadays, the development of information technology, robotics and artificial intelligence,
has brought radical changes in every aspect of people's lives and this has made our lives …
has brought radical changes in every aspect of people's lives and this has made our lives …
Detecting insider attacks in blockchain networks
O Ajayi, T Saadawi - 2021 International Symposium on …, 2021 - ieeexplore.ieee.org
Blockchain technology has recently gained high popularity in data security, primarily to
mitigate against data breach and manipulation. Since its inception in 2008, it has been …
mitigate against data breach and manipulation. Since its inception in 2008, it has been …
Secured cyber-attack signatures distribution using blockchain technology
O Ajayi, M Cherian, T Saadawi - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
The proliferation of cloud database has increased its vulnerability to cyberattacks. Despite
several proposed methods of securing databases, malicious intruders find ways to exploit …
several proposed methods of securing databases, malicious intruders find ways to exploit …
Blockchain-based architecture for secured cyber-attack features exchange
O Ajayi, T Saadawi - 2020 7th IEEE International conference on …, 2020 - ieeexplore.ieee.org
Despite the increased accuracy of intrusion detection systems (IDS) in identifying
cyberattacks in computer networks and devices connected to the internet, distributed or …
cyberattacks in computer networks and devices connected to the internet, distributed or …
Consortium blockchain-based architecture for cyber-attack signatures and features distribution
One of the effective ways of detecting malicious traffic in computer networks is intrusion
detection systems (IDS). Though IDS identify malicious activities in a network, it might be …
detection systems (IDS). Though IDS identify malicious activities in a network, it might be …
An immune optimization based deterministic dendritic cell algorithm
W Zhou, Y Liang - Applied Intelligence, 2022 - Springer
Anomaly detection is an important issue, which has been deeply studied in different
research domains and application fields. The dendritic cell algorithm (DCA) is one of the …
research domains and application fields. The dendritic cell algorithm (DCA) is one of the …
P4Chain: A Multichain Approach for Real-Time Anomaly Traffic Detection in P4 Network
O Ajayi, T Akinyemi, T Saadawi - 2023 IEEE 14th Annual …, 2023 - ieeexplore.ieee.org
Programming Protocol-independent Packet Processors (P4) is an open-source domain-
specific language to aid the data plane devices in programming packet forwarding. It has a …
specific language to aid the data plane devices in programming packet forwarding. It has a …
Secure resilient edge cloud designed network
Systems for Internet of Things (IoT) have generated new requirements in all aspects of their
development and deployment, including expanded Quality of Service (QoS) needs …
development and deployment, including expanded Quality of Service (QoS) needs …