IoT

This paper presents a novel implementation scheme

of the essential circuit blocks for high performance, full-precision

Booth multipliers leveraging a hybrid logic style. By exploiting

the behavior of parasitic capacitance of MOSFETs, a carefully

engineered design style is employed to reduce dynamic power dissipation

while improving the glitch immunity of the circuit blocks.

The circuit-level techniques along with the proposed signal-flow

optimization scheme prevent the generation and propagation

Including the symbol under demodulation in data-aided reference/pilot recovery process, dominates the contribution of all the received sybmols. Therefore, excluding the contribution of the symbol under detection allows other symbols to equally contributeto the reference estimation.

Truth discovery techniques, which can obtain accurate aggregation results based on the weighted sensory data of users, are widely adopted in industrial sensing systems. However, there are some privacy matters that cannot be ignored in truth discovery process. While most of the existing privacy preserving truth discovery methods focus on the privacy of sensory data, they may neglect to protect the privacy of another equally important information, the tagged location information.

With the increasing popularity of the Internet of Things (IoT), security issues in the IoT
network have become the focus of research. Since the number of IoT devices connected to the network
has increased, the conventional network framework faces several problems in terms of network latency
and resource overload. Fog computing is intended to construct a new network framework. However, fog
computing has also caused new security challenges, such as authentication, authorization, and secure