Cổng tri thức PTIT

Bài báo quốc tế

Kho tri thức

/

/

Towards an efficient approach using graph-based evolutionary algorithm for iot botnet detection

Towards an efficient approach using graph-based evolutionary algorithm for iot botnet detection

Nguyễn Huy Trung, Ngô Quốc Dũng

In recent years, a large number of Internet of Things devices are used in life, many of which are vulnerable to attacks from a security perspective. Botnet malware is one of the main threats to IoT devices. Hence detection of IoT botnet is one of the most important challenge for IoT devices. This paper proposes an IoT botnet detection approach based on PSI graph data combine with evolutionary algorithm-based technique. In recent years, a large number of Internet of Things devices are used in life, many of which are vulnerable to attacks from a security perspective. Botnet malware is one of the main threats to IoT devices. Hence detection of IoT botnets is one of the most important challenges for IoT devices. In the paper, a IoT botnet detection approach based on PSI graph analysis by using the evolutionary algorithmbased technique. It applies bacterial evolution algorithm (BEA) in the training process on PSI graph multi-architecture IoT Botnet data to detect IoT Botnet. The PSI graphs were extracted from executable files and transform into vectors to feed into the classical machine learning classifiers. The result of the classifiers is then combine using soft voting method with BEA. The proposed method has achieved good experimental results (i.e., Accuracy at 95.30%, F1 at 96.15%). The approach also achieves a relatively low false-positive rate at 4.59%.

Xuất bản trên:

Informatica


Nhà xuất bản:

Slovene Society Informatika

Địa điểm:


Từ khoá:

IoT botnet, evolutionary algorithm, IoT security, PSI graph

Bài báo liên quan

Hoàng Trọng Minh, Lương Đức Thuận, Nguyễn Hồng Đức, Trần Thị Thanh Thủy
Lê Thị Trang Linh, Nguyễn Minh Quý, Hoàng Trọng Minh
Bui Van Cong, Ma Công Thanh, Dao Hoang Mai, Đỗ Xuân Chợ
Nguyễn Đình Hóa, Đỗ Xuân Chợ, Nguyễn Hoa Cương, Nguyễn Thành Long
Đỗ Xuân Chợ, Nguyễn Duy Phương, Đào Ngọc Phong