Security Checks Research Articles

Detecting Harmful Activity in Pilgrimage Using Deep Learning

CCTV surveillance is the most extensively used intelligent latest innovation. The use of surveillance cameras has risen dramatically because of the convenience of monitoring from anywhere and the reduction of crime rates in public areas. In this paper, we introduce the idea of bad vibe activity detection from live videos to enhance the security and safety of pilgrims. The proposed bad vibes activity recognition model is intended to be addressed in the most efficient manner possible using cutting-edge technologies such as TensorFlow and Keras. TensorFlow was chosen because the project could be deployed to a mobile environment in the future with the possibility of extension of other areas such as airport security, bus stain, and public areas that may deserve special attention for security checks. We choose MediaPipe Holistic for employee bad vibe recognition in the model.

Absolutely secure distributed superdense coding: entanglement requirement for optimality

Superdense coding uses entanglement as a resource to communicate classical information efficiently through quantum channels. A superdense coding method is optimal when its capacity reaches Holevo bound. We show that for optimality, maximal entanglement is a necessity across the bipartition of Alice and Bob, but neither absolute nor genuine multipartite entanglement is required. Unlike the previous schemes, which can transmit either even or odd bits of information, we demonstrate a generalized dense coding protocol using the genuine multipartite entangled GHZ state to send arbitrary information bits. Expressed in the eigenbasis of different Pauli operators, GHZ state is characterized by a unique parity pattern which enables us to formulate a security checking technique to ensure absolute security of the protocol. We show this method is better applicable in a scenario, where the initial information is distributed among spatially separated parties. Finally, optimizing the number of qubit(s) sent to Bob, we construct a distributed dense coding method, which completely depicts absolutely secure quantum communication between many to one party.

Dimensioning the Optimal Number of Parallel Service Desks in the Passenger Handling Process at Airports Considered as a Queueing System—Case Study

Queueing theory is currently a widely used method for optimizing activities not only in air transport but also in other sectors, in both production and the use of personnel. Using this theory, it is possible to simulate in advance various scenarios that may arise during aircraft handling, handling of passengers and their luggage, cargo, or in production lines. This article aims to point out the possibilities of modeling queueing systems in air transport using a simulation model. It applies the measured data from the airport to the created simulation model, analyzes the knowledge gained from the simulations, and then proposes improvements or elimination of problems that may arise during the process in order to dimension the most favorable number of parallel service desks. During this process, we chose to evaluate the criteria of the efficiency of service check-in desks in the passenger handling process at the international airport in Košice and Prague. The handling process at the airport in Košice for weekly flights to Warsaw and at the airport in Prague also for flights to Warsaw during one week in the summer of 2019 was analyzed in more detail. During modeling, five efficiency criteria were monitored, which were focused on the probability of passengers waiting and their time spent waiting for their handling at the check-in desk. However, in these experiments, only the time spent at the check-in desk was taken into account; the following security, passport, and other checks were not included. As part of the evaluation of the efficiency of the passenger handling process, it was concluded that the critical point in the optimization of the handling process is dimensioning the optimal number of check-in desks, which had the greatest impact on the speed and possibility of processing all requests that entered the system. Therefore, it is advisable to first choose the most suitable number of desks and then work with other parameters that are adapted to the individual requirements for optimizing the handling process at airports.

Research on the Optimal Number of Lanes for Airport Classification Security Check Based on Virtual Queueing System

Research on the Optimal Number of Lanes for Airport Classification Security Check Based on Virtual Queueing System

Assessment and prediction of railway station equipment health status based on graph neural network

The equipment in railway station is complicated and diverse, and the health status assessment and prediction of equipment is crucial to the safe and stable operation of stations. Graph Neural Networks (GNNs) effectively combine graph data with deep learning technology, which has stronger data and knowledge representation capability and can efficiently handle some non-Euclidean spatial data problems with irregular station equipment associated network structure. Based on this, this paper takes the automatic gate machine and X-ray security checker as an example and proposes a health status assessment and prediction scheme for railway passenger station equipment based on Graph Long Short-Term Memory (G-LSTM) neural network. This paper first analyzes the main factors affecting the health status of passenger station equipment, as well as the correlation between the equipment. Then, the initial graph network structure of the passenger station equipment is constructed, and the G-LSTM model is used to evaluate and predict the health status of the passenger station equipment. Finally, this paper takes the automatic gate machine and X-ray security checker of a high-speed railway station in Beijing as an example to verify the proposed method. The experimental results show that all evaluation metrics perform well, indicating that the G-LSTM model has high accuracy in assessing and predicting the health status of automatic gate machine and X-ray security checker. This paper realizes the health status assessment and prediction of railway passenger station equipment, which can provide some reference for the Prognostics and Health Management (PHM) of equipment in railway stations.

Development of an unmanned aerial vehicle for remote live streaming on web dashboard

As the prominence of autonomous aerial vehicles continues to rise globally, the ability of surveillance carried out remotely is likely to become a key aspect. In large spaces, random security checks are performed by security guards and are quite inefficient since on-foot monitoring is extremely non-productive and slow. This paper proposes a remote surveillance solution integrated into an aerial vehicle that performs random inspections and streams the live video on a web dashboard which is a faster and more reliable solution. The paper presents how to design and implement an Unmanned Aerial Vehicle (UAV) with surveillance capabilities wherein the live stream will be remotely accessible on any device connected to the same network. The main purpose of this drone is to transmit live data/video to a web dashboard and hence run inferences to analyse the data. A custom-made drone is integrated with Raspberry Pi with a Universal Serial Bus (USB) camera. An attempt to stream drone video feeds on local devices has been made in this field. The proposed framework operates in the robot operating system (ROS) integrated with the gazebo simulator and is designed to enable the software to communicate with the hardware. Two primary methodologies are utilised; simulations and experimental. The expected outcome should satisfy the need to view the drone’s live video feed on a web dashboard for remote surveillance and computer vision application. At the resolution of 640 × 480, the latency in the live stream varied from 1 to 3 s with 10 frame rates per second. The analysis of the flight logs of the drone suggests that it meets the desired stability required for smooth video streaming. The total estimate calculated to implement this system is Rs. 70,000 including contingencies and spare parts required for experimentation. The proposed prototype appears to be a viable solution for security solutions required by multiple large space owners on the study's findings.

Pandemic vs. Post-Pandemic Airport Operations: Hard Impact, Slow Recovery

The elements of a new daily normal, airports need to face in post-pandemic operations, are massive flight delays, operational disruptions, and shortage of trained staff. The authors analysed the problems and reactions of airport human resources staff during the early stages of the COVID-19 pandemic and their approach to the management of human resources after the remission of the pandemic. Additionally, this paper describes problems of airports during the recovery phase and increases the understanding of specific problems airports are facing due to lack of qualified staff in their post-pandemic recovery period. Critical areas, in which airports underperform are ground handling services and security checks of passengers. Staff recruitment is not capable of providing enough workers to do the job. This leads to flight cancellations and delays or unsatisfied passengers during check-in and security. On top of this, ground-handling services remain unattractive for newcomers due to poor working conditions, such as low wages and 7 days a week shift work. ‘Cross-training’, allowing airports to have employees shadow colleagues from other airport teams, or ‘employee sharing’ (with other airports) could help in reducing problems, with unavailability of trained staff, especially at smaller airports.

Impact of COVID-19 lockdown and health risk modeling of polycyclic aromatic hydrocarbons in Onne, Nigeria.

The people living in Onne are highly vulnerable to PAH exposure due to constant exposure to black soot through oral, dermal, and inhalation routes. This work aims to determine the PAHs profile of selected soils in Onne, to determine the health risks associated with PAHs exposure through the soil, and to determine the impact of reduced industrial and other activities on the PAHs profile and associated public health risks. This study evaluated 16 priority polycyclic aromatic hydrocarbon (PAHs) pollutants in soil samples from the four (4) major clans in Onne using a gas chromatography flame ionization detector (GC-FID) during and after the COVID-19 lockdown. The results showed a differential presence of PAHs during and after the lockdown. Of the 16 priority PAHs, 10 and 8 PAHs were respectively detected during and after the COVID-19 lockdown. High molecular weight PAHs such as benzo(k)fluoranthene and benzo(a)anthracene were major contributors during the lockdown, while low molecular weight PAHs such as naphthalene, acenaphthylene, and fluorene were present at higher levels after the lockdown. An assessment of health risk by incremental lifetime cancer risks revealed that the entire population of Onne might be at risk of cancer development across periods, though a higher risk was presented during the lockdown. In addition, children under the age of 18 may be at greater risk. To the best of our knowledge, there is no previous report on the impact of the COVID-19 lockdown on soil PAH profile and health risks, with particular attention to the Onne industrial host community. Earlier work considered the ecological risks of heavy metals on dumpsites in Onne. Taken together, the PAH-contaminated soil in Onne poses an immediate health concern. Therefore, reduced anthropological activities, as evident during the COVID-19 lockdown, may play a role in exposure and cancer risk reduction. While there may not be another lockdown due to the challenging impacts associated with a physical lockdown, firmly controlled economic activity can be a solution if embraced by stakeholders. The COVID-19-lockdown was encumbered with restricted movements and security checks, which limited the number of samples collected. However, the Local Government Council (Department of the Environment) granted permission for the researchers to work with a minimal threat to their lives.

PENGARUH KUALITAS PELAYANAN PETUGAS AVSEC DI SECURITY CHECK POINT (SCP) TERHADAP KEPUASAN PENUMPANG DI BANDAR UDARA SULTAN BABULLAH TERNATE

Aviation Security (AVSEC) is a work unit formed by PT. Angkasa Pura in fulfilling international and national regulations as a manager and provider of airport security services must have the required license according to the position. The quality of security services provided by security officers or Aviation Security (AVSEC) at the Security Check Point (SCP) unit at Sultan Babullah Airport Ternate is very important for passengers. the researcher got information from seniors who had already carried out On Job Training (OJT) where there were some passengers who complained about the service during the inspection. Therefore, the researcher aims to find out whether there is an influence on the quality of service of avsec officers at the security check point on passenger satisfaction and also to find out how much influence the quality of service of avsec officers at the security check point has on passenger satisfaction at Sultan Babullah Airport, Ternate
 This study uses quantitative data. The data used in this study were taken from primary data based on questionnaires distributed to passengers at Sultan Babullah Airport Ternate for the period February 2022. With a total of 96 people, the data analysis technique used was simple linear regression analysis, T test, coefficient of determination and normality test.
 The results showed that Ho was rejected and Ha was accepted, which means that there is an influence of service quality for Avsec Officers at Security Check Point (SCP) on Passenger Satisfaction at Sultan Babullah Airport, Ternate. The T test results show tcount = 15.212> ttable value = 1.985. The results of the Coefficient of Determination test which show how much influence the service quality variable (X) has on the passenger satisfaction variable (Y) it is known that the determination coefficient value is 71.1%, which means that the service quality variable (X) contributes 71.1% to the passenger satisfaction variable. (Y), while the remaining 28.9% was caused by other factors not examined by the researcher.
 Keywords: Quality of Service, Passenger Satisfaction, Sultan Babullah Ternate

Breaking Cellular IoT with Forged Data-plane Signaling: Attacks and Countermeasure

We devise new attacks exploiting the unprotected data-plane signaling in cellular IoT networks (a.k.a. both NB-IoT and Cat-M). We show that, despite the deployed security mechanisms on both control-plane signaling and data-plane packet forwarding, novel data-plane signaling attacks are still feasible. The attacker can forge both uplink and downlink data-plane signaling messages that pass the current security checks used by the receiver. With the capability of forging messages, the attacker can launch attacks that exhibit a variety of attack forms beyond simplistic packet-blasting, denial-of-service (DoS) threats, including location privacy breach, packet delivery loop, prolonged data delivery, throughput limiting, radio resource draining, connection reset, and multicast disabling. Our testbed evaluation and operational network validation have confirmed the attack viability. To combat the threat, we further propose a new defense solution within the 3GPP C-IoT standard framework. It leverages the synchronized timer clock information to protect the data-plane signaling messages with low overhead.

High-throughput production of LuAG-based highly luminescent thick film scintillators for radiation detection and imaging

Radiography is non-destructive imaging for engineering, medical diagnostics, airport security checks, and decontamination activities in nuclear plants. Inorganic scintillators are phosphor materials that convert radiation into visible photons with high luminescence and fast response, and scintillators with a few tens of micrometers thickness can improve sensitivity in radiation detection and imaging. To date, a production method for thick film scintillators is a time and cost consuming way of slicing and poshing bulk single crystals and transparent ceramics. Here, the chemically vapor deposited Ce3+-doped Lu3Al5O12 thick film scintillators (CVD-Ce3+:LuAG) with a thickness of 1–25 μm were produced at deposition time of 1–30 min. Numerical simulations indicated the penetration depth of α-particle in Ce3+:LuAG is 12.8 μm, and the 14-μm-thick CVD-Ce3+:LuAG showed highest light yield (31,000 photons 5.5 MeV−1), superior to the commercial Ce3+:LuAG single crystal scintillator (21,000 photons 5.5 MeV−1). In the X-ray radiograph taken with CVD-Ce3+:LuAG as a scintillation screen, 5-μm-width bar of metal microgrids can be identified. Vapor deposition technique can be a novel high-throughput production way of a thick film scintillator which is in a micrometer-thickness effective to converting radiations into photons for sensitive α-emitter detection and high-resolution X-ray imaging.

Using Artificial Intelligence to Prevent Banking Frauds

Abstract: Banks have been providing a better way for people to save and deposit money. With the advent of banks, payment and deposit methods became far more convenient than they were previously, but thefts continued to plague banks, causing millions of dollars in damage. These thefts have harmed the lives of thousands of businesses all over the world. Theft is increasing at a rapid pace as technology advances, but technological concepts such as artificial intelligence and machine learning have assisted businesses and individuals in dealing with these issues. Companies are using artificial intelligence to track down these thefts, from proper customer authentication to multiple level security checks. AI is proving to be a better way to combat these thefts. In this article, we discussed the most common types of theft and how to prevent them using artificial intelligence.

The Use of Terrestrial and Maritime Autonomous Vehicles in Nonintrusive Object Inspection.

Traditional nonintrusive object inspection methods are complex or extremely expensive to apply in certain cases, such as inspection of enormous objects, underwater or maritime inspection, an unobtrusive inspection of a crowded place, etc. With the latest advances in robotics, autonomous self-driving vehicles could be applied for this task. The present study is devoted to a review of the existing and novel technologies and methods of using autonomous self-driving vehicles for nonintrusive object inspection. Both terrestrial and maritime self-driving vehicles, their typical construction, sets of sensors, and software algorithms used for implementing self-driving motion were analyzed. The standard types of sensors used for nonintrusive object inspection in security checks at the control points, which could be successfully implemented at self-driving vehicles, along with typical areas of implementation of such vehicles, were reviewed, analyzed, and classified.

Prodogious Potential of Redtacton Solitary and in Digital Network

Abstract: Communication between people and objects in close propinquity is feasible using technologies like Ethernet, IoT, Wifi, etc. Technologies connect objects, networks & people together for data sharing and thus make information ready for access.In new era of technology ,the network security has became the greatest challenge in digital networks. That creates a room and need to have more secure network technology.A breakthrough technology that consider body surface as secure medium is considered to be a promising technology in field of network security.Under Redtacton technology the signals are transmitted through the physical structure that ultimately supports “IEEE 802.3 half-duplex communication” and mobile terminals or seems similar terminals that are implanted within the environment. It uses the weak radio signals and transmit data at greater speeds efficiently.This technology can be applied in multiple application like, in field of banking, security checks, health, etc .During this paper we are going to discuss about Redtacton, and its perks as a secured network for digital system like ATM . we'll also compare enormous potential of Redtacton as an individual's area network with the other available technology .

Hybrid Scheduling Model Based on Fare Incentives for Peak Time Interval of the Metro: The Harbin Metro System

Considering the operation efficiency of the metro system, the boarding queuing problem is a complex and intractable dilemma caused by the security and ticket checking process in urban metro stations, especially for the mass-transit metro system in China. In this study, a novel scheme of fare differentials based on demand control and congestion management for reducing congestion in the metro boarding process was proposed. In addition, we extended Vickrey’s point-queue model into a boarding congestion model incorporating the bidesired departure time considering the security and ticket checking process in stations as a continuum bottleneck. The train-run and departure time choosing behaviors of passengers under different schedule gaps of the adjacent train runs are explored when the boarding system achieves user equilibrium in the proposed model. Then, we examined the demand regulatory mechanisms of fare incentives (fare differentials) in reducing the queuing boarding time in metro stations when the optimization of the schedule gaps is ineffective in the pattern of mass-scale travel demand. The analytical solutions of these two optimal methods (schedule gaps and fare differentials) for boarding congestion management are presented. After comparing the two congestion-reduced methods, the fare incentive rule has a better regulation effect on the smoothing of travel demand. The results of the sensitivity analysis using numerical simulations reveal the regulatory mechanism of fare differentials in reducing the queuing time and increasing the incremental revenue. (1) The demand threshold is only related to the boarding capacity and schedule gaps (i.e., the greater the boarding capacity and schedule gaps, the greater the passenger capacity of the metro station). (2) The effect of fare incentives in reducing the boarding congestion is better if the lower fare is implemented in the later train runs. (3) A lower fare differential between two adjacent metro runs can be used to regulate the proportion of staggered passengers in the queuing line to reduce the crowd gathering in the metro station hall when travel demand is high, meanwhile, a higher fare differential between two adjacent metro shuttles can increase incremental revenue effectively. (4) The measure of fare differentials causes worse results in both the reduction of the queuing time and the increase of the incremental revenue when the metro travel demand is lower than the demand threshold. This conclusion is consistent with the pattern of reality and experience. Therefore, the definition and judgment conditions of demand thresholds, introduced in this study, can provide theoretical guidance when implementing fare incentive policies in aviation and metro networks.

The Influence of Plastic Barriers on Aerosol Infection Risk during Airport Security Checks

Plastic barriers physically separate queuing passengers in airport security check areas as a measure against aerosol transmission. However, this may create “canyons” that interfere with the existing ventilation design: potentially inhibiting airflow, concentrating exhaled viruses, and exacerbating aerosol transmission risk. Accordingly, this study investigated the transmission implications of installing plastic barriers in a security check area with computational fluid dynamics (CFD). Two air distribution schemes were modeled: one with linear air supply diffusers aligned vertically to (Case 1) and another with diffusers parallel with (Case 2) the orientation of partitions. The drift-flux model was used to calculate the spread of viral bioaerosols with 5 µm in diameter; then the Wells–Riley equation was applied to assess aerosol transmission risk for SARS-CoV-2. According to simulation results, in Case 1, installing plastic barriers resulted in relatively small changes in volume with a high infection risk of 1% or greater in the breathing zone within the first 25 min. However, in Case 2, using plastic barriers resulted in the continuous increase in this volume within the first 25 min while this volume was near zero if without plastic barriers. In conclusion, installing plastic barriers needs careful consideration because they do not reduce the risk of airborne SARS-CoV-2 transmission and might even exacerbate it without localized ventilation and air cleaning.

Analisis Penerapan Prosedur Penanganan Barang Berbahaya di Security Check Point (SCP) 1 Bandar Udara Internasional Raja Haji Fisabilillah Tanjungpinang

The implementation of procedures in dealing with dangerous goods in accordance with the existing rules in Security Check Point (SCP) 1 is one of the first steps in improving security at the airport, considering the increasingly diverse ways to commit crimes found at the airport related to the inspection of passengers and luggage. The purpose of this study is to analyze the implementation of hazardous goods handling procedures at Security Check Point (SCP) 1 and to find out the constraints of Aviation Security officers in handling dangerous goods at Security Check Point (SCP) 1 Raja Haji Fisabilillah Tanjungpinang International Airport.
 This study uses a descriptive qualitative approach with data collection techniques using participant observations, structured interviews, and documentation collected from related sources and when the author goes down the field.
 The results of this study show that the implementation of hazardous goods handling procedures at Security Check Point (SCP) 1 has been implemented in accordance with the rules or Standard Operating Procedures by Aviation Security personnel of Raja Haji Fisabilillah International Airport. This application is not only done when there are instructions from the x-ray operator but can also be applied if it looks suspicious passenger movements. In addition, there are also obstacles, namely differences of opinion with passengers who are arrogant and do not understand the regulations regarding luggage inspection which belongs to the category of dangerous goods or prohibited items and facilities that are suddenly error or not primed when used or run during the inspection time.
 Keywords : Aviation Security, Security Check Point (SCP) 1, application of procedures for handling dangerous goods.

Towards Design and Development of Security Assessment Framework for Internet of Medical Things

The majority of medical equipment in use today does not have built-in security features. As a result, whether linked to a hospital system or the cloud, these devices’ built-in weaknesses make them vulnerable to a variety of cyberattacks. In hospitals and clinics, hackers can breach equipment, manipulate data, and disrupt facilities, putting patients’ health as well as their lives in jeopardy. A professional can manage cybersecurity threats by lowering the attack surface of the system. Security analysis, whether as a means to detect possible vulnerabilities that can be exploited by attackers or as a means to prevent cyberattacks, plays an important role in risk mitigation. In addition, throughout the pre-market and post-market phases, security checks are required. This study presents a paradigm for incorporating security check concepts into medical device design and development and healthcare big data security. The security of devices and healthcare data is tested by the integrated fuzzy AHP-TOPSIS method. After the security check of devices, with the parameters security-checked for data, the algorithm is designed and implemented. As a result, the appropriate customized security controls are prompted in order to impede the attack.

Analisis Penerapan Prosedur Penanganan B3 di Bandar Udara Internasional Raja Haji Fisabilillah Tanjungpinang Riau

The implementation of procedures in dealing with dangerous goods in accordance with the existing rules in Security Check Point (SCP) 1 is one of the first steps in improving security at the airport, considering the increasingly diverse ways to commit crimes found at the airport related to the inspection of passengers and luggage. The purpose of this study is to analyze the implementation of hazardous goods handling procedures at Security Check Point (SCP) 1 and to find out the constraints of Aviation Security officers in handling dangerous goods at Security Check Point (SCP) 1 Raja Haji Fisabilillah Tanjungpinang International Airport. This study uses a descriptive qualitative approach with data collection techniques using participant observations, structured interviews, and documentation collected from related sources and when the author goes down the field.The results of this study show that the implementation of hazardous goods handling procedures at Security Check Point (SCP) 1 has been implemented in accordance with the rules or Standard Operating Procedures by Aviation Security personnel of Raja Haji Fisabilillah International Airport. This application is not only done when there are instructions from the x-ray operator but can also be applied if it looks suspicious passenger movements. In addition, there are also obstacles, namely differences of opinion with passengers who are arrogant and do not understand the regulations regarding luggage inspection which belongs to the category of dangerous goods or prohibited items and facilities that are suddenly error or not primed when used or run during the inspection time.
 Keywords : Aviation Security, Security Check Point (SCP) 1, application of procedures for handling dangerous goods.

Improved SSD network for fast concealed object detection and recognition in passive terahertz security images

With the strengthening of global anti-terrorist measures, it is increasingly important to conduct security checks in public places to detect concealed objects carried by the human body. Research in recent years has shown that deep learning is helpful for detecting concealed objects in passive terahertz images. However, previous studies have failed to achieve superior accuracy and performance for real-time labeling. Our research aims to propose a novel method for accurate and real-time detection of concealed objects in terahertz images. To reach this goal we trained and tested a promising detector based on deep residual networks using human image data collected by passive terahertz devices. Specifically, we replaced the backbone network of the SSD (Single Shot MultiBox Detector) algorithm with a more representative residual network to reduce the difficulty of network training. Aiming at the problems of repeated detection and missed detection of small targets, a feature fusion-based terahertz image target detection algorithm was proposed. Furthermore, we introduced a hybrid attention mechanism in SSD to improve the algorithm’s ability to acquire object details and location information. Finally, the Focal Loss function was introduced to improve the robustness of the model. Experimental results show that the accuracy of the SSD algorithm is improved from 95.04 to 99.92%. Compared with other current mainstream models, such as Faster RCNN, YOLO, and RetinaNet, the proposed method can maintain high detection accuracy at a faster speed. This proposed method based on SSD achieves a mean average precision of 99.92%, an F1 score of 0.98, and a prediction speed of 17 FPS on the validation subset. This proposed method based on SSD-ResNet-50 can provide a technical reference for the application and development of deep learning technology in terahertz smart security systems. In the future, it can be widely used in some public scenarios with real-time security inspection requirements.