Internet of Things (IoT) enables information sharing among massive small and cheap wireless devices. However, the secret key sharing process in massive IoT applications becomes more challenging due to the low latency communication requirements and resource constrained IoT devices. To adress those probelms, we propose a physical layer secret key sharing scheme for MIMO (multiple-input-multiple-output) IoT applications, which can realize secret key sharing with communication simultaneously. This is because the information of secret key is attached in the combination of the activated/non-activated parallel sub-channels of the legitimate receiver, which is created by SVD (singular value decomposition) of the MIMO channel of the legitimate receiver. Consequently, the legitimate receiver can accurately obtain the shared key and demodulate the communication data with an arbitrary low key BER and BER (bit error rate). The simulation results verified the validity and security of the proposed scheme.
Internet of Things (IoT) enables information sharing among massive small and cheap wireless devices. However, the secret key sharing process in massive IoT applications becomes more challenging due to the low latency communication requirements and resource constrained IoT devices. To adress those probelms, we propose a physical layer secret key sharing scheme for MIMO (multiple-input-multiple-output) IoT applications, which can realize secret key sharing with communication simultaneously. This is because the information of secret key is attached in the combination of the activated/non-activated parallel sub-channels of the legitimate receiver, which is created by SVD (singular value decomposition) of the MIMO channel of the legitimate receiver. Consequently, the legitimate receiver can accurately obtain the shared key and demodulate the communication data with an arbitrary low key BER and BER (bit error rate). The simulation results verified the validity and security of the proposed scheme.
Internet of Things (IoT) enable information transmission and sharing among massive IoT devices. However, the key establishment and management in IoT become more challenging due to the low latency requirements and resource constrained IoT devices. In this work, we propose a practical physical layer based secret key sharing scheme for MIMO (multiple-input-multiple-output) IoT devices to reduce the communication delay caused by key establishment of MIMO IoT devices. This is because the proposed scheme attachs secret key sharing with communication simultaneously. It is achieved by the proposed MIMO self-injection AN (SAN) tranmsission, which is designed to deliberately maximum the receive SNR (signal to noise ratio) at different antenna of the legitimate IoT device, based on the value of secret key sharing to him. The simulation results verified the validity and security of the proposed scheme
With the increasing demands for sharing confidential information among massive Internet of Things (IoT) devices in 5G and beyond wireless networks, many applications require the common secret key generation for a group of IoT devices. However, most of the existing works on physical layer secret key generation (PLKG) only focus on the pairwise key generation between two users, which is a low efficient and high cost to be extended to the scenarios of group key generation. In this work, we propose a new efficient multiple-input–multiple-output (MIMO) physical layer group secret key generation scheme to reduce the consumption of channel probing and improve the efficiency for group key generation. Different from current schemes, in the proposed scheme, the transmitter randomly generates the group secret key and directly broadcasts the downlink data symbols to the group users. At the receiver end, each group user can efficiently “observe” the common group key through the downlink broadcasting data symbols, while keeping perfect secrecy of the shared group key against eavesdroppers. The performance of reliability, security, and the group key generation rate is fully investigated, which shows the advantages of high efficiency, low consumption, and strong robustness of the proposed scheme. Extensive simulations are conducted to validate the effectiveness of the proposed scheme.
Internet-of-Things (IoT) networks generally contain resource-constrained devices that require an energy-efficient key generation procedure to producing secure keys at a faster rate. The physical characteristics of the wireless channel can be exploited to secure communication within IoT networks. In particular, secret keys can be generated by leveraging on the randomness of the wireless physical channel between two communicating parties. The conventional mechanism of generating keys at the physical layer, i.e., using channel probing, quantization, information reconciliation, and privacy amplification, may not be preferable for IoT devices. In addition, in some cases IoT devices may be deployed in static environments, wherein the channel coherence time is too high to generate keys at a faster rate and with the desired randomness. This study proposes a mapping table-based key distribution scheme for IoT environments, wherein multiple characteristics of the random channel are combined to improve not only the key generation rate (KGR) but also the key agreement rate (KAR) and bit error rate (BER). In the proposed scheme, both the channel magnitude and the phase are exploited in the key generation process. The proposed scheme is immune to channel estimation errors while providing sufficient randomness in the static environment. Additionally, the scheme is thoroughly investigated for different scenarios including the case of a smarter eavesdropper, which attempts to estimate the channel between the legitimate nodes. This case verifies the robustness of the proposed scheme in different settings and attack models.
Recently, shared secret key generation from wireless channel characteristics has attracted a lot of attention due to its low computational overhead. However, in a static environment, the secret key rate is relatively lower due to the lack of channel time-variation. In this paper, we propose a lightweight and efficient PLKG scheme for static channels. Different from current schemes, in the proposed scheme, the transmitter attaches the information of the secret key into the downlink pilot signals to the legitimate receiver by the proposed secret precoding. At the receiving end, the legitimate receiver can directly observe the correct information of secret key from the public downlink pilot signals, while keeping perfect secrecy of the generated key against eavesdroppers. The key principle lies in that the information of the secret key is coded in the index of the non-activated MIMO (multiple-input-multiple-output) sub-channel. Consequently, only the legitimate receiver can accurately observe the value of the key information. For any other eavesdroppers who suffer an independent channel from the legitimate transmitter and receiver, it is proven that she cannot observe any key information from her received signals. Therefore, the key rate can be improved for the static channels by increasing the symbol rate of the pilot signals. Simulations are conducted to validate the effectiveness of the proposed scheme.
Physical layer security (PLS) provides strong and lightweight secure communications for vehicle networks, which has attracted great attention. However, current schemes cannot defend against the passive eavesdroppers with any number of antennas. To fill this gap, we propose a physical layer secure MIMO-SVD (singular value decomposition) communication scheme (SSVD) to defend against such an eavesdropper with any number of antennas. In the SSVD scheme, the confidential information first goes through a special data frames secure process at the transmitter. After that, by integrating with SSVD precoding, the key information is attached and delivered in the combination of activated/non-activated MIMO parallel sub-channels of the legitimate receiver through the wireless channel. Due to the uniqueness and independence of wireless channel, only the legitimate receiver can observe the key information and use it to “decrypt” (XOR) the confidential information step by step with an arbitrary low BER (bit error rate). However, for any other eavesdropper who suffers an independent channel from legitimate users, the eavesdropper cannot obtain any key information from the received signals, regardless of how many antennas he/she has. Consequently, the eavesdropper cannot “decrypt” any information about the confidential information. The SSVD security and reliability are theoretically analyzed, and the simulation and numerical results fully verified its validity and effectiveness.
Internet of Things (IoT) is becoming an emerging paradigm to provide pervasive connectivity where “anything“ can be connected “anywhere” at “anytime” via massive deployment of physical objects like sensors, controllers, and actuators. However, the open nature of wireless communications and the energy constraint of the IoT devices impose strong security concerns. In this context, traditional cryptographic techniques may not be suitable in such a resource-constrained network. To address this problem, an effective security solution that ensures a trade-off between security effectiveness and energy efficiency is required. In this paper, we exploit cooperative transmission between sensor nodes in IoT for e-Health application, as a promising technique to enhance the physical layer security of wireless communications in terms of secrecy capacity while considering the resource-impoverished devices. Specifically, we propose a dynamic and cooperative virtual multiple-input and multiple-output (MIMO) configuration approach based on game theory to preserve the confidentiality of the transmitted messages with high energy savings. For this purpose, we model the physical layer security cooperation problem as a non-transferable coalition formation game. The set of cooperative devices form a virtual dynamically-configured MIMO network that is able to securely and efficiently transmit data to the destination. Simulation results show that the proposed game-based virtual MIMO configuration approach can improve the average secrecy capacity per device as well as the network lifetime compared to non-cooperative transmission.