A Novel Approach to Identifying DDoS Traffic in the Smart Home Network via Exploratory Data Analysis

Wali, Asmau; Apejoye, Oluwasegun; Raja, Thejavathy; He, Jifeng; Ma, Xiaoqi

doi:10.1007/978-3-031-24801-6_34

Cited by 2 publications

(2 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Collect Initial Data: The initial data is collected from smart home network traffic as benign data and attack data [24]. Using Wireshark, the network traffic data is collected and saved as a .pcap file and .csv file.…”

Section: A Data Understanding/collectionmentioning

confidence: 99%

See 1 more Smart Citation

Detection of DDoS Attack on Smart Home Infrastructure Using Artificial Intelligence Models

Raja

Ezziane

et al. 2022

2022 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)

Self Cite

View full text Add to dashboard Cite

The whole web world is concerned and constantly threatened by security intrusion. From the topmost corporate companies to the recently established start-ups, every company focuses on their network, system, and information security as it is the core of any company. Even a simple small security breach can cause a considerable loss to the company and compromises the CIA Triad (Confidentiality, Integrity, and Availability). Security concerns and hacking activities such as Distributed Denial of Service (DDoS) attacks are also experienced within home networks which could be saturated reaching a crashing point. This work focuses on using Artificial Intelligence (AI) and identifying suitable models to train, identify, and detect DDoS attacks. In addition, it aims to implement on smart home datasets and find the best model from those which performs with a high accuracy rate on the smart home dataset. The novelty of this project is identifying one best AI model among many of the existing models that works best on smart home datasets and in identifying and detecting DDoS attacks.

show abstract

Section: A Data Understanding/collectionmentioning

confidence: 99%

“…Smart Home Architecture [25] Fig2. DoS attack on smart home architecture [24] To explore data in depth, the Exploratory Data Analysis (EDA) is performed before processing ML algorithms on the data. The dataset quality is assessed when converting it to .csv from Wireshark, which is as same as the network traffic.…”

Section: A Data Understanding/collectionmentioning

confidence: 99%