An Innovative Security Screening Architecture for Detecting Illicit Goods and Threats

Skraparlis, Athanasios; Ntalianis, Klimis; Kouremenos, Dimitris; Mastorakis, N.E.

doi:10.46300/9102.2021.15.28

Cited by 2 publications

(1 citation statement)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Even though very interesting, most aforementioned works are not tested on real world settings and do not provide specific levels of threat. This paper builds on previous extensive experience on surveillance, authentication, illicit goods detection and location-based action analysis [48] - [53], to perform threat assessment of neighboring CIs. Three scenarios are analyzed, multiple explosions are considered, a CI-based fusion algorithm is proposed for non-overlapping segments of the Voronoi tessellation and a real time innovative algorithm to assess the specific threat of each CI is presented.…”

Section: Related Workmentioning

confidence: 99%

Real Time Threat Assessment of Truck Cargos Carrying Dangerous Goods for Preventing Terrorism Attacks on Neighboring Critical Infrastructures

2022

Self Cite

View full text Add to dashboard Cite

Critical infrastructures are assets of invaluable importance, essential for the whole world. Since they serve core functions of our societies, they often become targets of terrorists. Many critical infrastructures are vulnerable, due to their short distance from public roads and in the past years, several vehicle-bomb incidents have been recorded. This paper focuses on the case of truck-bombs, which can either be created from scratch, or terrorists can easily hijack truck cargos carrying dangerous goods and turn them into bombs. The latter are typically called ADR truck cargos, according to the respective agreement of the 30th of September 1957, concerning the international carriage of dangerous goods by road. The proposed scheme performs threat assessment of neighboring critical infrastructures, aiming at preventing explosions of truck-bombs. To do so, each crucial point of a critical infrastructure is initially associated with a level of importance. Next, three scenarios are analyzed: (a) single-attack single-infrastructure, (b) multiple-attack single-infrastructure, and (c) multiple-attack multiple-infrastructure. To reduce computational complexity, the third scenario is simplified to one of the two other scenarios, by introducing a novel fusion technique for the non-overlapping segments of the Voronoi tessellation. By this way, an area of threat assessment is estimated for each critical infrastructure. Then, the threat level is assessed in real time by an innovative algorithm, which: (a) estimates the impact of multiple consecutive explosions, (b) uses five adapted threat levels and (c) introduces multiple criteria and minimum classification conditions based on the number of crucial points and their levels of importance. Extensive real world experimental results and comparisons to other works, exhibit the pros and cons of the proposed scheme. In particular the proposed scheme improves: (a) computational time by 74.5%, compared to [69], (b) threat notification time by 86.9% compared to [70] and (c) estimated surveillance cost by 98.6% compared to [71].

show abstract

Section: Related Workmentioning

confidence: 99%

Real Time Threat Assessment of Truck Cargos Carrying Dangerous Goods for Preventing Terrorism Attacks on Neighboring Critical Infrastructures

2022

Self Cite

View full text Add to dashboard Cite

show abstract

Detecting Indoor Tiny Autonomous Malicious Drones within Critical Infrastructures: An Innovative Algorithm based on Harmonic Radar-Equipped Mini-Drones

Skraparlis,

Ntalianis,

Ntaliani

et al. 2024

Wseas Transactions on Information Science and Applications

View full text Add to dashboard Cite

Critical infrastructures play a central role in the welfare of contemporary societies and they should properly function 24/7. Since their role is so important, they regularly become targets of malicious parties, terrorists, industrial spies, and even hostile governments. In this paper, the scenario of cyber or physical attacks to CIs from tiny autonomous malicious drones is analyzed. In particular, this work focuses on indoor spaces, protected by mini-drones. The mini-drones are equipped with harmonic radar and run a novel algorithm, which guides them to scan the whole area. Assuming that the malicious drones behave as non-linear systems, the mini-drones transmit signals and analyze the received signals, creating a non-linear system 3D location map for the whole space. In the consecutive scans, any changes on the 3D location map indicate that the malicious drone has changed location. Simulated results and comparisons to state-of-the-art approaches exhibit the cost-effectiveness and time efficiency of the proposed scheme as well as its limitations.

show abstract

An Innovative Security Screening Architecture for Detecting Illicit Goods and Threats

Cited by 2 publications

References 22 publications

Real Time Threat Assessment of Truck Cargos Carrying Dangerous Goods for Preventing Terrorism Attacks on Neighboring Critical Infrastructures

Real Time Threat Assessment of Truck Cargos Carrying Dangerous Goods for Preventing Terrorism Attacks on Neighboring Critical Infrastructures

Detecting Indoor Tiny Autonomous Malicious Drones within Critical Infrastructures: An Innovative Algorithm based on Harmonic Radar-Equipped Mini-Drones

Contact Info

Product

Resources

About