An efficient wsn based solution for bordersurveillance
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An efficient WSN based solution for border surveillance To buy this project in ONLINE, Contact: Email: jpinfotechprojects@gmail.com, Website: https://www.jpinfotech.org
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In this modern era, Wireless Sensor Network (WSNs) have turned out to be a more attractive option, because of the advancements in communication. If the network is insecure, an attacker can intercept messages and break the sensor nodes’ security; as well as duplicate the authentication codes to launch a variety of attacks. As a result, Physical Unclonable Functions (PUFs) with unpredictable features are encouraged to be used in the development of lightweight cryptographic protocols. This work introduced the Red Deer Algorithm (RDA) with PUF as a new mutual authentication system. When a sensor receives a challenge from the gateway, the inbuilt PUF generates a key and distributes it to the sensor by providing complete resilience against malicious attacks. PUF is resistant to node acquisition, cloning, and malicious attacks, as well as node physical security flaws. Key distribution is moving too quickly and the adversary won’t be able to conduct a harmful attack in time. Furthermore, PUF’s unclonability and unexpected qualities provide key uniqueness and two-way authentication for improving the security. When compared to existing Tunicate Swarm Grey Wolf optimization (TSGWO) and PUF-Based Mutual-Authenticated Key Distribution (PUF-MAKD), the proposed RDA-PUF demonstrated better results. The simulation results are obtained in terms of minimizing energy consumption as 0.7 J, end-to-end delay as 7 sec, packet delivery ratio of 97%, increasing network lifetime to 1330 sec, and improving secure connectivity to 1.211.
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In this modern era, Wireless Sensor Network (WSNs) have turned out to be a more attractive option, because of the advancements in communication. If the network is insecure, an attacker can intercept messages and break the sensor nodes’ security; as well as duplicate the authentication codes to launch a variety of attacks. As a result, Physical Unclonable Functions (PUFs) with unpredictable features are encouraged to be used in the development of lightweight cryptographic protocols. This work introduced the Red Deer Algorithm (RDA) with PUF as a new mutual authentication system. When a sensor receives a challenge from the gateway, the inbuilt PUF generates a key and distributes it to the sensor by providing complete resilience against malicious attacks. PUF is resistant to node acquisition, cloning, and malicious attacks, as well as node physical security flaws. Key distribution is moving too quickly and the adversary won’t be able to conduct a harmful attack in time. Furthermore, PUF’s unclonability and unexpected qualities provide key uniqueness and two-way authentication for improving the security. When compared to existing Tunicate Swarm Grey Wolf optimization (TSGWO) and PUF-Based Mutual-Authenticated Key Distribution (PUF-MAKD), the proposed RDA-PUF demonstrated better results. The simulation results are obtained in terms of minimizing energy consumption as 0.7 J, end-to-end delay as 7 sec, packet delivery ratio of 97%, increasing network lifetime to 1330 sec, and improving secure connectivity to 1.211.
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In this modern era, Wireless Sensor Network (WSNs) have turned out to be a more attractive option, because of the advancements in communication. If the network is insecure, an attacker can intercept messages and break the sensor nodes’ security; as well as duplicate the authentication codes to launch a variety of attacks. As a result, Physical Unclonable Functions (PUFs) with unpredictable features are encouraged to be used in the development of lightweight cryptographic protocols. This work introduced the Red Deer Algorithm (RDA) with PUF as a new mutual authentication system. When a sensor receives a challenge from the gateway, the inbuilt PUF generates a key and distributes it to the sensor by providing complete resilience against malicious attacks. PUF is resistant to node acquisition, cloning, and malicious attacks, as well as node physical security flaws. Key distribution is moving too quickly and the adversary won’t be able to conduct a harmful attack in time. Furthermore, PUF’s unclonability and unexpected qualities provide key uniqueness and two-way authentication for improving the security. When compared to existing Tunicate Swarm Grey Wolf optimization (TSGWO) and PUF-Based Mutual-Authenticated Key Distribution (PUF-MAKD), the proposed RDA-PUF demonstrated better results. The simulation results are obtained in terms of minimizing energy consumption as 0.7 J, end-to-end delay as 7 sec, packet delivery ratio of 97%, increasing network lifetime to 1330 sec, and improving secure connectivity to 1.211.
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Nowadays, Fog architecture or Edge architecture is becoming a popular research trend to distribute a
substantial amount of computing resources, data processing and resource management at the extreme edge
of the wireless sensor networks (WSNs). Industrial communication is a research track in next generation
wireless sensor networks for the fourth revolution in the industrial process. Adopting fog architecture into
Industrial communication systems is a promising technology within sensor networks architecture. With
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Nowadays, Fog architecture or Edge architecture is becoming a popular research trend to distribute a
substantial amount of computing resources, data processing and resource management at the extreme edge
of the wireless sensor networks (WSNs). Industrial communication is a research track in next generation
wireless sensor networks for the fourth revolution in the industrial process. Adopting fog architecture into
Industrial communication systems is a promising technology within sensor networks architecture. With
Software Defined Network (SDN) architecture, in this paper, we address edge controller placement as an
optimization problem with the objective of more robustness while minimizing the delay of network
management and the associated synchronization overhead. The optimization problem is provided and
modelled as submodular function. Two algorithms are provided to find the optimal solution using a real
wireless network to get more realistic results. Greedy Algorithm and Connectivity Ranking Algorithm are
provided. Greedy algorithm outperforms connectivity ranking algorithm to find the optimum balance
between the different metrics. Also, based on the network operator preference, the number of edge
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[IJET-V1I3P2] Authors :Monali Madne, Prof.Manjusha Yeola
[IJET-V1I3P2] Authors :Monali Madne, Prof.Manjusha YeolaIJET - International Journal of Engineering and Techniques
Wireless Sensor Network (WSN) is a promising field for research. As the use of this field increases, it is
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in unfriendly unattended area, from the time of system design these security concerns should be addressed. The paper,
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protocol a hash function based approach is used to detect replay attacks. For data access control key lock matching
method i.e. memory data access control policy is used to prevent unauthorized data access. Encoding and
reconstruction scheme is used to find out attacker. Flooding attack detection by comparing data rate. There is currently
massive research is present in the area of wireless sensor network security..Keywords: GPS,GCM,LBS Android.
Keywords: secure communication architecture, wireless Sensor network security.A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wireless ...
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50120140506008
The document summarizes various techniques for event detection and transmission in wireless sensor networks. It proposes a new protocol that uses a single node to transmit event data to improve reliability, reduce energy consumption and computation costs. The protocol uses clustering for real-time event detection based on sensor thresholds. It applies single and composite decision rules to the clustered sensor data to accurately detect events. Upon detection, a single node is selected to transmit the event data to the sink node.
Performance Analysis in MANET Routing Protocol using Machine Learning Algorit...
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Data Security and Data Dissemination of Distributed Data in Wireless Sensor N...
The document discusses a data dissemination protocol called seDrip for wireless sensor networks. seDrip allows multiple authorized network users to simultaneously distribute data items directly to sensor nodes, without relying on a central sink node. It implements authentication using digital signatures to provide security and prevent unauthorized access. The protocol is analyzed and shown to satisfy security requirements like authenticity, integrity, and resistance to denial-of-service attacks. RSA encryption is used to encode data for confidentiality.
Skt.2013.innovation technology for future convergence network
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1. Software-defined networking (SDN) and network function virtualization (NFV) to create a more agile, cost-efficient network architecture.
2. SUPER Cell, a future network architecture that aims to enhance capacity 100x and reduce costs 10x through techniques like massive MIMO, small cells, and new frequency bands.
3. The importance of R&D collaboration for developing leadership in 5G technologies and convergence networks.
A Brief Research Study Of Wireless Sensor Network
The document summarizes a research study on wireless sensor networks (WSNs). It discusses WSNs applications in various fields like military, environment, healthcare, homes, and traffic control. It also examines key challenges in WSNs like energy consumption, data reporting models, and security issues. Additionally, the document reviews common simulation platforms used to test WSN protocols and evaluates their features, interfaces, support, scalability and availability of WSN modules.
19X01A0413.SEMIAR.pdf
Wireless integrated network sensors (WINS) can be used for border security by monitoring footsteps and other sounds to detect strangers entering border areas. WINS nodes are distributed across the border and communicate with each other and a main node. When a sensor detects footsteps, it analyzes the sound and compares it to a reference value to identify strangers. WINS require very low power compared to other security systems like radar, and can detect targets faster with less delay. WINS allow dense distribution of sensors along borders for efficient monitoring of movement across land borders.
abstract LNG world
1) The FSRU Toscana is a floating storage and regasification unit anchored 22km offshore between Livorno and Pisa, Italy.
2) The initial communication link between the FSRU and shore had insufficient bandwidth and challenges due to the long distance over water.
3) The final solution installed three connection points - one onshore, one at a 900m elevation rebound point, and one on the FSRU itself - creating a 75km link instead of the initial 22km and overcoming line of sight issues.
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Java Web Application Project Titles 2023-2024.
🔗Email: jpinfotechprojects@gmail.com,
🌐Website: https://www.jpinfotech.org
📞MOBILE: (+91)9952649690.
Java Application Projects 2023 - 2024
Java Web Application Project Titles
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Student Attendance System Using QR-Code
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QR Code Based Smart Online Student Attendance System
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Detecting Malicious Facebook Applications
Detection of Bullying Messages in Social Media
Enhanced Secure Login System using Captcha as Graphical Passwords
Filtering Unwanted Messages in Online Social Networking User walls
Secure Online Transaction System with Cryptography
Detecting Mobile Malicious Webpages in Real Time
Credit Card Fraud Detection in Online Shopping System
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Detection of Offensive Messages in Social Media to Protect Online Safety
Healthcare Projects
Diabetes Prediction using Data Mining in Healthcare Management System
Online Hospital Management System
Online Oxygen Management System
Enhanced Hospital Admission System to Mitigate Crowding
Online Parking Booking System
E-Pass Management System | Curfew e-pass management system
Online Tender Management System
Online Toll Gate Management System
Online Election System
Panchayat Union Automation System
Smart City Project - A Complete City Guide Using Database
Visa Processing Management System
Cricket Win Predictor using Machine Learning
College Management System
Online college Counselling system
Online No Dues Management System
Online Student Mentoring System
Online Tuition Management System
Bike Store Management System
Computer Inventory System
Distilled Water Management System
Donation Tracking System | Online Charity Management System
Online Bug Tracking System
Online Content Based Image Retrieval System with Ranking Model
Online Crime File Management System
Online Courier Management System
Online Blood Bank Management System
Online Secure Organ Donation Management System
Connecting Social Media to E-Commerce
Twitter Based Tweet Summarization
Mental Disorders Detection via Online Social Media Mining
Detecting Stress Based on Social Interactions in Social Networks
Knowledge Sharing Based Online Social Network with Question and Answering System
Predicting Suicide Intuition in Online Social Network
Predicting Emotions of User in Online Social Network
Employee Payroll Management System
Human Resource Management System
Online Employee Tracking System
College Admission Predictor
Online Book Recommendation System
Personalized Movie Recommendation System
Product Recommendation System in Online Social Network
Mining Online Product Evaluation System based on Ratings and Review Comments
Online Book Buying and Selling
Dot Net Final Year IEEE Project Titles.pdf
Dot Net Final Year IEEE Project Titles.pdf
🔗Email: jpinfotechprojects@gmail.com,
🌐Website: https://www.jpinfotech.org
📞MOBILE: (+91)9952649690.
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of the wireless sensor networks (WSNs). Industrial communication is a research track in next generation
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optimization problem with the objective of more robustness while minimizing the delay of network
management and the associated synchronization overhead. The optimization problem is provided and
modelled as submodular function. Two algorithms are provided to find the optimal solution using a real
wireless network to get more realistic results. Greedy Algorithm and Connectivity Ranking Algorithm are
provided. Greedy algorithm outperforms connectivity ranking algorithm to find the optimum balance
between the different metrics. Also, based on the network operator preference, the number of edge
controllers to be placed will be provided. This research paper plays a great role in standardization of
softwarization into Industrial communication systems for next generation wireless sensor networks.
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Nowadays, Fog architecture or Edge architecture is becoming a popular research trend to distribute a
substantial amount of computing resources, data processing and resource management at the extreme edge
of the wireless sensor networks (WSNs). Industrial communication is a research track in next generation
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Software Defined Network (SDN) architecture, in this paper, we address edge controller placement as an
optimization problem with the objective of more robustness while minimizing the delay of network
management and the associated synchronization overhead. The optimization problem is provided and
modelled as submodular function. Two algorithms are provided to find the optimal solution using a real
wireless network to get more realistic results. Greedy Algorithm and Connectivity Ranking Algorithm are
provided. Greedy algorithm outperforms connectivity ranking algorithm to find the optimum balance
between the different metrics. Also, based on the network operator preference, the number of edge
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This document reviews cluster-based routing protocols for wireless sensor networks. It discusses the challenges facing routing in WSNs such as limited energy, hardware constraints, and dynamic network topologies. It then categorizes cluster-based routing protocols into chain-based, tree-based, grid-based, and block-based approaches. A popular chain-based protocol called PEGASIS is described which forms sensor nodes into a chain to reduce data transmissions to the base station. The document aims to compare different cluster-based routing protocols to improve energy efficiency, network lifetime, and quality of service in WSNs.
A Wireless Sensor Network ( Wsn )
This document provides an introduction to wireless sensor networks. It describes a wireless sensor network as a network consisting of distributed sensors that monitor conditions like temperature, sound, and pollutants and pass data to a central location. Each sensor node contains a radio transceiver, microcontroller, sensor interface electronics, and a power source. The sensors form a multi-hop network to transmit data across long distances. Event-driven wireless sensor networks only transmit messages when events of interest occur to avoid overloading the network and wasting energy.
[IJET-V1I3P2] Authors :Monali Madne, Prof.Manjusha Yeola
[IJET-V1I3P2] Authors :Monali Madne, Prof.Manjusha YeolaIJET - International Journal of Engineering and Techniques
Wireless Sensor Network (WSN) is a promising field for research. As the use of this field increases, it is
required to give proper security to this field. So to ensure the security of communication of data or messages and to
control the use of data in WSN is of great importance. As sensor networks interact with responsive data and operate
in unfriendly unattended area, from the time of system design these security concerns should be addressed. The paper,
presents a modified Motesec security protocol which is a security mechanism for Wireless sensor network. In this
protocol a hash function based approach is used to detect replay attacks. For data access control key lock matching
method i.e. memory data access control policy is used to prevent unauthorized data access. Encoding and
reconstruction scheme is used to find out attacker. Flooding attack detection by comparing data rate. There is currently
massive research is present in the area of wireless sensor network security..Keywords: GPS,GCM,LBS Android.
Keywords: secure communication architecture, wireless Sensor network security.A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wireless ...
This document presents a virtual grid-based dynamic routes adjustment (VGDRA) scheme for wireless sensor networks with a mobile sink. The scheme aims to conserve network energy while dynamically routing information towards the moving sink. It divides the sensor field into a virtual grid with cell header nodes. These cell header nodes participate in adjusting routes according to the latest location of the mobile sink, reducing communication costs and energy consumption compared to having all nodes participate. The VGDRA scheme balances energy expenditure of nodes and allows data to be efficiently disseminated to the mobile sink as it changes locations through dynamic routing reconstruction using the virtual grid structure.
IRJET-A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wir...
This document presents a virtual grid-based dynamic routes adjustment (VGDRA) scheme for wireless sensor networks with a mobile sink. The scheme aims to minimize the energy consumed when sensor nodes adjust their routes to the sink's new location. It divides the sensor field into a virtual grid with cell headers. When the sink moves, only the cell headers participate in rerouting to the new location, reducing the communication cost compared to all nodes adjusting routes. The VGDRA scheme maintains nearly optimal routes to the mobile sink while minimizing the cost of route reconstruction as the sink moves.
IRJET- Security Efficiency of Transfering the Data for Wireless Sensor Ne...
This document discusses security challenges in wireless sensor networks, specifically for wireless body area networks (WBANs). It proposes a new medium access control (MAC) protocol called SDMAC to detect and prevent selfish attacks in WBANs. The SDMAC protocol can identify rogue nodes and block abnormal activities to improve network performance. Simulation results using NS3 show that SDMAC performs better than existing protocols in terms of energy efficiency and throughput reduction.
50120140506008
The document summarizes various techniques for event detection and transmission in wireless sensor networks. It proposes a new protocol that uses a single node to transmit event data to improve reliability, reduce energy consumption and computation costs. The protocol uses clustering for real-time event detection based on sensor thresholds. It applies single and composite decision rules to the clustered sensor data to accurately detect events. Upon detection, a single node is selected to transmit the event data to the sink node.
Performance Analysis in MANET Routing Protocol using Machine Learning Algorit...
This document presents a machine learning approach for routing in mobile ad hoc networks (MANETs) to improve security and performance. The proposed approach uses reinforcement learning to establish the shortest and most stable path for routing packets from the source to destination. Simulation results show that the reinforcement learning approach reduces transmission delay, increases packet delivery ratio by up to 35%, and decreases energy consumption compared to traditional routing methods for MANETs. The document also discusses using machine learning for intrusion detection and trust evaluation in MANETs to enhance security against various attacks.
Data Security and Data Dissemination of Distributed Data in Wireless Sensor N...
The document discusses a data dissemination protocol called seDrip for wireless sensor networks. seDrip allows multiple authorized network users to simultaneously distribute data items directly to sensor nodes, without relying on a central sink node. It implements authentication using digital signatures to provide security and prevent unauthorized access. The protocol is analyzed and shown to satisfy security requirements like authenticity, integrity, and resistance to denial-of-service attacks. RSA encryption is used to encode data for confidentiality.
Skt.2013.innovation technology for future convergence network
This document discusses innovation technologies for future convergence networks, including:
1. Software-defined networking (SDN) and network function virtualization (NFV) to create a more agile, cost-efficient network architecture.
2. SUPER Cell, a future network architecture that aims to enhance capacity 100x and reduce costs 10x through techniques like massive MIMO, small cells, and new frequency bands.
3. The importance of R&D collaboration for developing leadership in 5G technologies and convergence networks.
A Brief Research Study Of Wireless Sensor Network
The document summarizes a research study on wireless sensor networks (WSNs). It discusses WSNs applications in various fields like military, environment, healthcare, homes, and traffic control. It also examines key challenges in WSNs like energy consumption, data reporting models, and security issues. Additionally, the document reviews common simulation platforms used to test WSN protocols and evaluates their features, interfaces, support, scalability and availability of WSN modules.
19X01A0413.SEMIAR.pdf
Wireless integrated network sensors (WINS) can be used for border security by monitoring footsteps and other sounds to detect strangers entering border areas. WINS nodes are distributed across the border and communicate with each other and a main node. When a sensor detects footsteps, it analyzes the sound and compares it to a reference value to identify strangers. WINS require very low power compared to other security systems like radar, and can detect targets faster with less delay. WINS allow dense distribution of sensors along borders for efficient monitoring of movement across land borders.
abstract LNG world
1) The FSRU Toscana is a floating storage and regasification unit anchored 22km offshore between Livorno and Pisa, Italy.
2) The initial communication link between the FSRU and shore had insufficient bandwidth and challenges due to the long distance over water.
3) The final solution installed three connection points - one onshore, one at a 900m elevation rebound point, and one on the FSRU itself - creating a 75km link instead of the initial 22km and overcoming line of sight issues.
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An efficient wsn based solution for bordersurveillance
- 1. An efficient WSN based solution for border surveillance ABSTRACT: Since a long time, the integrity of physical borders is seen as a challenging concern. Indeed, governments have to facilitate travelling and trade so that economies continue to grow while preventing the entry of dangerous entities. To this aim, several conventional techniques were enforced to secure borders in the recent past. However, due to the immensity of the area to be monitored, such solutions require an intensive human involvement and high maintenance costs. This advocated to use new technologies, such as Wireless Sensor Networks (WSN), to reduce the costs and improve the efficiency of the border surveillance system. Although using and combining these technologies has been already addressed in different existing solutions, it still some key points to be considered like energy efficiency, load balancing and redundancy elimination. In this paper, we first propose a multilayer hybrid architecture based on cameras, scalar sensors, radars and UAVs to design a border surveillance system. Then, a detailed deployment strategy is discussed. Finally, an activation scheduling strategy based on load balancing and energy saving is addressed. The simulation results show that our solution could not only detect the intrusion in border areas, but also outperforms the other solutions by managing efficiently the network and extending its lifetime. SYSTEM REQUIREMENTS: HARDWARE REQUIREMENTS:
- 2. System : Pentium Dual Core. Hard Disk : 120 GB. Monitor : 15’’ LED Input Devices : Keyboard, Mouse Ram : 1 GB SOFTWARE REQUIREMENTS: Operating system : UBUNTU/Windows XP/7 Implementation : NS2 NS2 Version : NS2.2.28 Front End : OTCL (Object Oriented Tool Command Language) Tool : Cygwin (To simulate in Windows OS) REFERENCE: Mohamed Lamine Laouira, Abdelkrim Abdelli, Jalel Ben othman and Hyunbum Kim, “An efficient WSN based solution for border surveillance”, IEEE Transactions on Sustainable Computing, 2019.