The article deals with the current problem of ensuring security when developing embedded technologies for the Internet of things. The authors analyze modern technological features of this concept; consider the main vulnerabilities of information security. An approach is proposed to protect the data transferred between the physical, logical and virtual components of the dedicated Internet infrastructure of things. Distinctive features of the proposed approach are the intellectual analysis of messages transmitted in IoT and the use of digital watermarks for data transfer between IoT-devices.

The paper proposes an approach to assessing the allowed signal-to-noise ratio (SNR) for light detection and ranging (LiDAR) of unmanned autonomous vehicles based on the predetermined probability of false alarms under various intentional and unintentional influencing factors. The focus of this study is on the relevant issue of the safe use of LiDAR data and measurement systems within the “smart city” infrastructure. The research team analyzed and systematized various external impacts on the LiDAR systems, as well as the state-of-the-art approaches to improving their security and resilience. It has been established that the current works on the analysis of external influences on the LiDARs and methods for their mitigation focus mainly on physical (hardware) approaches (proposing most often other types of modulation and optical signal frequencies), and less often software approaches, through the use of additional anomaly detection techniques and data integrity verification systems, as well as improving the efficiency of data filtering in the cloud point. In addition, the sources analyzed in this paper do not offer methodological support for the design of the LiDAR in the very early stages of their creation, taking into account a priori assessment of the allowed SNR threshold and probability of detecting a reflected pulse and the requirements to minimize the probability of “missing” an object when scanning with no a priori assessments of the detection probability characteristics of the LiDAR. The authors propose a synthetic approach as a mathematical tool for designing a resilient LiDAR system. The approach is based on the physics of infrared radiation, the Bayesian theory, and the Neyman–Pearson criterion. It features the use of a predetermined threshold for false alarms, the probability of interference in the analytics, and the characteristics of the LiDAR’s receivers. The result is the analytical solution to the problem of calculating the allowed SNR while stabilizing the level of “false alarms” in terms of background noise caused by a given type of interference. The work presents modelling results for the “false alarm” probability values depending on the selected optimality criterion. The efficiency of the proposed approach has been proven by the simulation results of the received optical power of the LiDAR’s signal based on the calculated SNR threshold and noise values.

One of the main functions of an information security system is the identification of any access subject to be able to investigate information security incidents. During executing procedures of scanning and vulnerability exploitation, qualified adversaries regularly change identifying features. Such operations can not only obfuscate logging the data in subsystems, thus, complicating the restoring of events chronology for an information security expert but also call into question the irrefutability of the evidence of participation of particular adversary to particular illegal operations. In the paper analyses of application of modern approaches of adversary identification in web resources, which does not require authentification of main part of users, is given (fingerprinting, analysis of behavioral features). Along with widely used in web analytics “thermal maps”, user adapted profile and computer model of dynamics of “user-mouse” system, authors offer to identify the subjects of information security incident in readily available informational resources of the Internet. The main idea of the prospective approach consists of the following: when a thermal map is built, not only the density of data layout should be considered but also statistical parameters should be defined by an expert (the distance of intensity gradient, distance overlap, etc.). The authors also offer to consider the dynamics of user operations (e.g. calculation of the average duration of data entry into interactive elements). A description of each step of an appropriate technique and also information on its practical implementation are given. Robustness of the given approach is confirmed by a practical experiment. The offered technique is not a universal instrument of adversary identification . Only manual targeted attacks are considered, the cURL tools etc. used by adversaries are not taken into account. Therefore, it is recommended to use this technique exclusively in addition to working protective systems (WAF, IPS, IDS).