Biblio

In order to solve the problem that the ordinary intrusion detection model cannot effectively identify the increasingly complex, continuous, multi-source and organized network attacks, this paper proposes an Internet of Things attack group identification model to identify the planned and organized attack groups. The model takes the common attack source IP, target IP, time stamp and target port as the characteristics of the attack log data to establish the identification benchmark of the attack gang behavior. The model also combines the spectral clustering algorithm to cluster different attackers with similar attack behaviors, and carries out the specific image analysis of the attack gang. In this paper, an experimental detection was carried out based on real IoT honey pot attack log data. The spectral clustering was compared with Kmeans, DBSCAN and other clustering algorithms. The experimental results shows that the contour coefficient of spectral clustering was significantly higher than that of other clustering algorithms. The recognition model based on spectral clustering proposed in this paper has a better effect, which can effectively identify the attack groups and mine the attack preferences of the groups.

In this article, we study the transmission secrecy performance of primary user in overlay cognitive wireless networks, in which an untrusted energy-limited secondary cooperative user assists the primary transmission to exchange for the spectrum resource. In the network, the information can be simultaneously transmitted through the direct and relay links. For the enhancement of primary transmission security, a maximum ratio combining (MRC) scheme is utilized by the receiver to exploit the two copies of source information. For the security analysis, we firstly derive the tight lower bound expression for secrecy outage probability (SOP). Then, three asymptotic expressions for SOP are also expressed to further analyze the impacts of the transmit power and the location of secondary cooperative node on the primary user information security. The findings show that the primary user information secrecy performance enhances with the improvement of transmit power. Moreover, the smaller the distance between the secondary node and the destination, the better the primary secrecy performance.