As a key component of the information sensing and aggregating for big data, cloud computing, and Internet of Things (IoT), the information security in wireless sensor network (WSN) is critical. Due to constrained resources of sensor node, WSN is becoming a vulnerable target to many security attacks. Compared to external attacks, it is more difficult to defend against internal attacks. The former can be defended by using encryption and authentication schemes. However, this is invalid for the latter, which can obtain all keys of the network. The studies have proved that the trust management technology is one of effective approaches for detecting and defending against internal attacks. Hence, it is necessary to investigate and review the attack and defense with trust management. In this paper, the state-of-the-art trust management schemes are deeply investigated for WSN. Moreover, their advantages and disadvantages are symmetrically compared and analyzed in defending against internal attacks. The future directions of trust management are further provided. Finally, the conclusions and prospects are given.

The authenticity and integrity of sensed data in the data collection stage is very critical aspect for the smart city industrial environment. They impact on the accuracy of data analysis and the objectivity of making decision. However, how to distinguish attack behaviors from interference in complex environments, and establish secure route to transmit data for resource-constrained terminals are the challenging problems. To address these problems, in this paper, we propose a trust-based security system (TSS). In TSS, we first design a trust model using binomial distribution for calculating the node's trust value and a third-party recommendation scheme for improving the objectivity of trust value. Then, we propose a trust management scheme for preventing the On-Off attack. After that, we design a secure routing protocol, which is used to balance the security, transmission performance and energy efficiency. Finally, the analytical results of the TSS are evaluated with extensive simulation experiment.

As one of data sources in cloud–edge–terminal collaboration enabled artificial intelligence of things (CETC-AIoT), the integrity and confidentiality of sensed information in the terminal side directly impact on the modeling and decision-making for CETC-AIoT. However, due to openness of transmission media among cloud, edge and terminal, it could be vulnerable to pollution attack and eavesdropping attack. Additionally, the constrained resources of some terminals make it difficult to deploy strong security schemes. In this context, how to make a tradeoff between the requirement of security and the limitation of resources needs to be explored. Therefore, toward secure and lightweight data transmission for CETC-AIoT, we propose a novel Gold sequence-based secure network coding (GS-SNC) scheme in this article. Specifically, the Gold sequence is introduced to generate the pseudo-random sequence, which is used to scramble and descramble the original information. The precoding matrix is constructed to encode and decode the scrambled information. The intermediate nodes perform the random linear network coding. The simulation results show that GS-SNC has advantages compared with double prime numbers-based secure network coding (DP-SNC) and secure practical network coding (SPOC), in terms of security, computational complexity, encryption capacity, and space overhead.

Currently, increasing attention is devoted to artificial intelligence (AI) enabled software defined industrial networks (AI-SDINs). Toward energy-efficient and secure data transmission in AI-SDINs, a metric called energy-cost-per-useful-bit (ECPUB), which means energy cost of transmitting per useful bit is presented to evaluate energy efficiency and a novel energy-efficiency based secure multipath routing scheme is then put forward. Specifically, the ECPUB incorporates the utility and the law of diminishing marginal utility, for revealing the relationship among energy consumption, residual energy, and useful bits required. Moreover, in this article, an energy-efficiency based secure multipath routing scheme (E ² SMR) is proposed by adopting the ECPUB and ( t , n ) threshold secret sharing scheme, for enhancing the security under the premise of guaranteeing energy efficiency. Extensive simulation results show that ECPUB can evaluate the energy efficiency and facilitate the balance of network load, while E ² SMR can prolong the lifetime of the network and simultaneously ensure the network functionality securely.