DDoS Attack Dataset in AMI

Citation Author(s):
Sriranjani
R
SASTRA Deemed to be Univerity, Thanjavur, TamilNadu, India
Hemavathi
N
SASTRA Deemed to be University
Jim Solomon Raja
D
SASTRA Deemed to be Univerity, Thanjavur, TamilNadu, India
Sai Krishna
Mitta
SASTRA Deemed to be Univerity, Thanjavur, TamilNadu, India
Submitted by:
Hemavathi N
Last updated:
Sun, 12/15/2024 - 05:49
DOI:
10.21227/4yjc-vj38
Data Format:
*.pcap
License:
Creative Commons Attribution
868 Views
Categories:
IoT
Keywords:
Advanced Metering Infrastructure Testbed, Distributed Denial of Service Attack, Real Time Traffic Analysis
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Abstract 

Smart grid, an application of Internet of Things (IoT) is modern power grid that encompasses power and communication network from generation to utilization . Home Area Network (HAN), Field or Neighborhood Area Network (FAN/NAN) and Wide Area network (NAN) using Wireless LAN and Wireless/Wired WAN protocols are employed from generation to utilization . Advanced Metering Infrastructure, a utilization side infrastructure facilitates communication between smart meters and the server where energy efficient protocols are mandate to support smart grid . Under such circumstance, the smart devices involved in bidirectional communication is prone to diverse cyber threats due to diversity of devices, protocols, application programming interfaces and light weight cryptographic algorithms. Among the cyber threats, Distributed Denial of Service (DDoS) attack is one of the prominent threats that would result in unavailability of service.

Instructions: 

The normal and malicious traffic is captured using wireshark and stored as .csv. The captured data is preprocessed and the features namely frame number, time, protocol, source IP (Internet Protocol) and MAC (Medium Access Control) address, destination IP and MAC address, source port and destination port numbers, packet length, information and label are fed as input to the machine learning algorithms

Funding Agency: 
Science Engineering and Research Board, New Delhi, India
Grant Number: 
SPG/2021/000332

Comments

I would like to access this dataset

Submitted by Waldon Hendricks on Thu, 08/03/2023 - 16:44

Dear Sir,
Greetings,
I am currently undertaking a study on botnet attack detection in an AMI network.
As part of my methodology, this dataset would be greatly relevant to my analysis using machine learning and deep learning.
Could you please grant me access to this dataset?

Counting on your kind cooperation.

Regards,

Oliver.

Submitted by Oliver Kornyo on Thu, 08/17/2023 - 07:19

I would like access to this dataset please.

Submitted by Yemi Akere on Fri, 09/08/2023 - 10:25

I would like please to access the dataset.

Submitted by Mamdouh Muhammad on Wed, 09/27/2023 - 00:15

Dear Professor Hemavathi,
i would like to request to access the dataset please.

Submitted by Abdillahi Abdillahi on Sat, 12/30/2023 - 03:41

I would like please to access the dataset.

Submitted by Pan ying on Thu, 01/25/2024 - 06:43

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