Design and Development of Biometrics Secure Person Detection System for E-Passport using Cryptographic Security Protocols

In the last decade, surveillance camera technology has become widely practiced in public and private places to ensure the safety of individuals. Merely, face to limits of violation the private life of people and the inability to identify malicious persons that hid their faces, finding a new policy of surveillance video has become compulsory. The authors' work deals on the development of a suspicious person detection system using a new insect behaviour algorithm called artificial social cockroaches ASC based on a new image representation method (n-gram pixel). It has as input a set of artificial cockroaches (human images) to classify them (hide) into shelters (classes) suspicious or normal depending on a set of aggregation rules (shelter darkness, congener's attraction and security quality). Their experiments were performed on a modified MuHAVi dataset and using the validation measures (recall, precision, f-measure, entropy and accuracy), in order to show the benefit derived from using such approach compared to the result of classical algorithms (KNN and C4.5). Finally, a visualisation step was achieved to see the results in graphical form with more realism for the purpose to help policeman, security associations and justice in their investigation.

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A Monocular Vision-based Specific Person Detection System for Mobile Robot Applications

Procedia Engineering ◽

10.1016/j.proeng.2012.07.138 ◽

2012 ◽

Vol 41 ◽

pp. 22-31 ◽

Cited By ~ 4

Author(s):

Mohd Nazri Abu Bakar ◽

Abdul Rahman Mohd. Saad

Keyword(s):

Mobile Robot ◽

Detection System ◽

Monocular Vision ◽

Person Detection

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Online Multi-Layers Social Distance Detection in Iraqi Schools

Turkish Journal of Computer and Mathematics Education (TURCOMAT) ◽

10.17762/turcomat.v12i6.4815 ◽

2021 ◽

Vol 12 (6) ◽

pp. 2103-2108

Author(s):

Abdulhakeem Q. Albayati, Farah F. Alkhalid, Rafah K. Hussain

Keyword(s):

Social Distance ◽

Detection System ◽

Main Idea ◽

High Accuracy ◽

Epidemic Spread ◽

Health Organizations ◽

Person Detection ◽

Whole School ◽

School Yard ◽

Better Than

In the circumstance of the COVID-19 pandemic, Prevention is better than cure, especially if the cure is not available, the first motto that all health organizations recommend is keep distances between people to prevent epidemic spread. In this paper, an online multi layers social distance detection system is proposed, the main idea is to detect distance among pupils and classify the distance to accept or not, this system treats stream video of fixed camera which monitor the whole school yard where the pupils are available, this proposed system used multi layers, the first is to make person detection using Yolo-4 approach including CNN model, and surround it by rectangle, the second is to specify the center of detected person, finally, calculate the relative distance to decide if it is accepted or not, this system works online and give high accuracy.

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Design and Development of Network Intrusion Detection System Detection Scheme on Network Processing Unit

2006 8th International Conference Advanced Communication Technology ◽

10.1109/icact.2006.206146 ◽

2006 ◽

Author(s):

R. Salim ◽

G.S.V.R.K. Rao

Keyword(s):

Intrusion Detection ◽

Intrusion Detection System ◽

Detection System ◽

Network Intrusion Detection ◽

Processing Unit ◽

Design And Development ◽

Detection Scheme ◽

Network Intrusion ◽

Network Intrusion Detection System ◽

Network Processing

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Framework for Threat Analysis and Attack Modelling of Network Security Protocols

Securing the Internet of Things ◽

10.4018/978-1-5225-9866-4.ch007 ◽

2020 ◽

pp. 110-124

Author(s):

Nachiket Athavale ◽

Shubham Deshpande ◽

Vikash Chaudhary ◽

Jatin Chavan ◽

S. S. Barde

Keyword(s):

Network Security ◽

Intrusion Detection ◽

Detection System ◽

Security Protocols ◽

Intrusion Detection Systems ◽

Sensitive Information ◽

Detection Systems ◽

Threat Analysis ◽

Warning Message ◽

System Administrator

Nowadays everything is computerized including banking and personal records. Also, to boost business profits, businessmen have changed their way of operations from physical way to electronic way, for example Flipkart. But as these developments benefit the developer they also increase the chance of exposing all of customer's personal details to malicious users. Hackers can enter into the system and can steal crucial or sensitive information about other authentic users and in case of banks leads to frauds. Security thus, becomes an important issue for all companies and banks. Intrusion detection systems help such companies by detecting in real time whether an intrusion is carried on or not. Here the authors are developing a signature based intrusion detection system which will scan incoming packets and send a warning message to system administrator. Also, the authors are implementing a framework and provide it to all the users so that developing intrusion detection based system similar to ours. The advantage of using framework is that it can be upgraded and re-defined whenever it is needed.

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