چكيده به لاتين
The Internet of Things (IoT) is a huge topic of discussion these days and it has responded to many of the issues raised in traditional power distribution technologies. Some issues in the traditional power grid are unidirectional flows, rapidly rising demand for energy, waste of energy, reliability and network security. These issues can be solved by connecting, automating, and detecting sensors and smart meters introduced by IoT. In term of security, smart grid is more vulnerable against attacks due to the type of communication technologies that it uses and the infrastructures. Among these attacks, the denial of service attack is a serious threat in which the attacker wants to prevent the sending of data by sensors to the control center. Jamming attack, which is a kind of DoS attack, disturbs communication channels by affecting the network physical layer and sending noises.
This attack will be important when we have time critical data in smart grid, and these data will become invalid if they are not received on time. Therefore they cannot be retransmitted. In this research, the jamming attack has been considered, and we have tried to provide an efficient way to detect and defend this attack on smart grid. In the proposed algorithm, after the Jamming diagnosis , network can continue by changing the transmission parameters such as frequency, transmission power, transmission rate and modulation mode and it selects a new channel without the presence of jammers. It has also been shown that this algorithm increases the packet delivery ratio about 15%, and it has a better performance than camouflage traffic method suggested previously. Another comparison has been done with an algorithm based on game theory and our proposed algorithm had a better performance in this case too.
