# Realizing Efficient Security and Privacy in IoT Networks
## 3 Related Works
This method is known as cooperative jamming. The noise-forwarding approach which was introduced in [24], and applied in a channel comprising of four-terminal relay-eavesdropper also considered a full-duplex relay, which independently transmits secret messages codewords which are targeted at complicating the eavesdropper's transmission. The authors of [44] investigated a two-stage cooperative jamming scheme (TSCS) which involves multiple relay nodes acting as the single-antenna's source node extension. The relays in this study do not transmit the information signals as they only function as a helper. However, for a single-antenna relay network, the authors of [45] proposed three different cooperative communication methods. On the other hand, for the second hop, they attempted to optimize secrecy by deriving a power allocation approach and its corresponding relay weights. The study in [46] investigated a decode-and-forward (DF) relays performance based on an optimal beamforming strategy; however, the investigation is limited because it only considered a transmission where the Eve monitors just a single connection linking the transmission destination and relay. The investigation of [47] was based on different privacy enhancing technologies (PETs) for IoT devices which have resulted in a much efficiency and convenience to our daily life. Their survey claim to have identified current state of improvement of the PETs in several turfs and also analyzed how the current technologies adhere with the modern legal ideologies and privacy criteria in curtailing the threats to privacy. A secured IoT-based healthcare system, which operates through the body sensor networks (BSN) architecture, was examined by the authors of [48]. The main focus of their system is to concurrently realize system robustness of transmission and efficiency within publicly transmitting IoT-based communication networks. Utilizing a vigorous utilize crypto-primitives, they constructed two communication schemes to ensure confidentiality in transmission and support entity authentication among smart objects. As most of the IoT data is relevant to personal privacy, it is necessary to pay attention to data transmission security. The authors of [49] investigated an IoT-oriented offloading method (IOM) which is enclave with privacy preservation to solve the problem of privacy in Cloudlet-enabled Wireless Metropolitan Area Networks (CWMAN). Their research and that of [50] adopted the non-dominated sorting differential evolution algorithm (NSDE) in order to optimize the multi-objective problem. By contrast to the works analyzed above, the work in [51] proposed a cooperative jamming approach for a half-duplex two-hop wireless MIMO relay scheme where the eavesdropper can bug the channels throughout the phases of transmission. The study investigation considered both single and multiple streams of data transmissions. However, for jamming support, due to the absence of an \"outer\" helpers, the relay, destination, and source must depend on themselves. Whether the eavesdropper is in proximity to the source or the destination, the strategy guarantees that it is jammed. In this strategy, both the source and the destination nodes perform as provisional assistants for transmitting jamming signals throughout the phases of transmission where they are generally inactive. In summary, the event of optimizing privacy without the users recognizing [PERSON]'s CSI is sparsely contained in literature; however, a few works like [52; 53; 54; 55; 56; 57] gave more attention to the use of only enough energy to authenticate a particular QoS for [PERSON] and is this energy is estimated in terms of signal-to-interference-plus-noise-ratio (SINR). Using the remaining energy, artificial interference is generated to jam [PERSON] not minding the effect of [PERSON]'s location. This process is implemented in place of making attempts to optimize the rate of secrecy, which is impossible without the users having a knowledge of [PERSON]'s CSI [58; 59].