Statistical approach based detection of distributed denial of service attack in a software defined network

K Bavani, MP Ramkumar… - 2020 6th International …, 2020 - ieeexplore.ieee.org
Distributed Denial of Service (DDoS) attack is one of the rapidly growing attack that threat
the networks to disrupt the network services available to the intended users. The attack is …

Smote variants for data balancing in intrusion detection system using machine learning

S Sams Aafiya Banu, B Gopika, E Esakki Rajan… - … Conference on Machine …, 2022 - Springer
Supervisory control and data acquisition (SCADA) systems keep track of critical
infrastructure. The information exchange and communication aspect of such systems make …

Scada intrusion detection system using cost sensitive machine learning and smote-svm

M Mahalakshmi, MP Ramkumar… - 2022 4th International …, 2022 - ieeexplore.ieee.org
Emerging technologies throughout the world work with the baseline of Cyber Physical
Systems (CPS) to provide remote accessibility. Large scale industries make use of CPS …

Interest forwarding strategies in vehicular named data networks

G Manisha, SGSR Emil… - … on Computation of …, 2019 - ieeexplore.ieee.org
Vehicular Ad-hoc Network (VANET) architecture consider the vehicles in motion as nodes in
the network, in which each node acts as an end-user as well as a router. The highly dynamic …

Pending interest lifetime mechanism for vehicular named data networks

G Manisha, GSRE Selvan… - … Conference on Vision …, 2019 - ieeexplore.ieee.org
Named Data Networking (NDN) is a future Internet architecture, which locates the requested
content using unique content names for effective content distribution. The very nature of …

Information Retrieval in Search Engines Using Pseudo Relevance Feedback Mechanism

M Bhavadharani, MP Ramkumar… - … Conference on Vision …, 2019 - ieeexplore.ieee.org
Online data generation is increasing rapidly due to technological development. In order to
handle the huge volume of data, big data methodology is used widely. Though big data can …

Goodput Improvement with Low–Latency in Data Center Network

MP Ramkumar, GSR Emil Selvan… - … Conference on Machine …, 2022 - Springer
Data Center is used for large data storage in various industries and Organizations. The data
traversing from source to destination is a process of Data Center Network (DCN). In the …

HDD Failure Detection using Machine Learning

IG Ganesh, AS Sugan, S Hariharan… - … Conference on Machine …, 2022 - Springer
Abstract Hard Disk Drives (HDD) are essential for computers which acts as a computer's
data center. The speed at which the data is transferred and the programs loaded on the PC …