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<title>MS (TN) (BUIC-E-8)</title>
<link>http://hdl.handle.net/123456789/13172</link>
<description/>
<pubDate>Sat, 04 Apr 2026 12:27:02 GMT</pubDate>
<dc:date>2026-04-04T12:27:02Z</dc:date>
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<title>Advanced Message Queuing Protocol Transported Over QUIC.</title>
<link>http://hdl.handle.net/123456789/13016</link>
<description>Advanced Message Queuing Protocol Transported Over QUIC.
Faheem Iqbal, 01-245201-002
The use of IoT devices is expanding every day in today’s environment. An interoperable protocol like AMQP is essential for supporting multiple IoT use cases and interconnecting IoT devices from different providers. Many IoT applications are sensitive to delays, which researchers are working to avoid as much as possible. One of the main sources of the delay is the underlying transport layer protocol, such as TCP or UDP. TCP is more reliable than UDP, although it is slower due to the three-way handshake and the use of TLS for security. QUIC, a new transport layer protocol developed by the Internet Engineering Task Force, combines the finest aspects of UDP and TCP to provide quick and reliable communication. We used the Go programming language to implement AMQP over QUIC to reduce latency and improve battery life. The Docker tool was used to containerize the AMQP Broker, Sender, and Receiver implementations, and various scenarios were tested in the NS3 simulator. The performance of AMQP over TCP and AMQP over QUIC has been evaluated using variables such as Delay, Packet Loss, and Channel Bandwidth. In addition, the battery usage has been calculated. With the exception of low bandwidth conditions, where AMQP over QUIC takes longer to communicate than AMQP over TCP, the results show that AMQP over QUIC outperforms AMQP over TCP in all cases.
Supervised by Dr. Moneeb Gohar
</description>
<pubDate>Sat, 01 Jan 2022 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/123456789/13016</guid>
<dc:date>2022-01-01T00:00:00Z</dc:date>
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<title>Decision Based Data Routing for Drone-Enabled Internet of Things</title>
<link>http://hdl.handle.net/123456789/13145</link>
<description>Decision Based Data Routing for Drone-Enabled Internet of Things
Maisam Ali, 01-245191-007
New technologies and communication standards have changed the traditional networks processes. Internet of Things (IoT) is one of the emerging technology where the devices are connected with each to facilitates the users. When the networks are more congested due to large number of users at IoT networks then the existing routing protocol and communication channel have suffered with congestion, disconnection, overhead and packet drop issues. Unmanned Aerial Vehicles (UAVs) are adopted to support the ground networks for more feasible data communication. These networks provide coverage facilities to IoT networks which are suffered with congestion issues. Use of the relay and cooperative communication technologies, UAVs could enlarge the appropriate insurance place of IoT. New technologies and communication standards have changed the traditional networks processes. The traditional Mobile Ad hoc Network (MANET) and other static networks routing protocols have adopted for data communication in these networks. These protocols have suffered with various routing issues. In this thesis, we propose a Decision based Routing for Unmanned Aerial Vehicles and Internet of Things (DR-UAVIoT) based on decision criteria for IoT networks. The proposed protocols are categorized into two main types UAV-to-IoT and UAV-to-UAV Data communication. The simulation is adopted to test the proposed solution in terms of data delivery, delay, and network overhead. The proposed protocol is also tested with existing protocols AODV and GyTAR to check its performance. The results indicated the better performance of proposed protocol as compared with existing routing protocols
Supervised by Dr. Kashif Naseer Qureshi
</description>
<pubDate>Sat, 01 Jan 2022 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/123456789/13145</guid>
<dc:date>2022-01-01T00:00:00Z</dc:date>
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<item>
<title>An Enhanced Trust Based Routing Protocol For Internet of Things</title>
<link>http://hdl.handle.net/123456789/11578</link>
<description>An Enhanced Trust Based Routing Protocol For Internet of Things
Anjum Abbas, 01-245191-002
The Internet of Things (IoT) is an ideal area and concept where objects are connected for data communication to share information by using different communication standards. The IoT comprises smart objects which have partial processing capacity. The multi-hop routing of IoT frequently develops the target of malicious attacks. The attack may damage physically devices and generate apparently collision of traffic with effective transmission, drop or deceive packets or strait the communication in the network by generating radio interference. Some harmful hard to detect attacks such as wormhole, blackhole, grayhole are easy to implement and cause of malicious node in network. The routing behavior also disturb with these attacks and such as false reporting, early depletion and network misbehavior noticed. To deal with malicious node an efficient trust aware protocol needed to deal with false reporting and packet dropping and consider residual energy and traffic load. The proposed Attack Resistant Trust Evaluation Model for IoT (ARTEM-IoT) addresses the lifelessness issue of trust base directing convention's in IoTs. The aim of proposed model is based on design and enhanced trust aware routing protocol for IoT networks. The purpose of the study was to recognize dishonest nodes and to revoke trusted IoT environment in enhancing trust and efficiency of the data. The main research objective was to develop lightweight belief conscious routing protocol for IoT to protect against misbehaving nodes.
Supervised by Dr. Kashif Naseer Qureshi
</description>
<pubDate>Fri, 01 Jan 2021 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/123456789/11578</guid>
<dc:date>2021-01-01T00:00:00Z</dc:date>
</item>
<item>
<title>Design and analysis of quantum computing based key distribution algorithms</title>
<link>http://hdl.handle.net/123456789/10550</link>
<description>Design and analysis of quantum computing based key distribution algorithms
Zara Shahid, 01-245182-010
We are living in the new era of computing where internet of things is increasing the connectivity of machine to machine or machine to environment which leads to the massive amount of data over the internet. Hence, securing the data is one of the most important areas of interest these days. The process of cryptography is used to secure the transmission of data from being stolen or intercepted by third party. Up till now classical cryptography techniques based on digital computers were enough to provide integrity, confidentiality and authenticity to the transmitted data but the processing power of transistors used in digital computers is growing fast with the exponential decrease in the transistor size. As stated in Moore’s law that the size of transistor will become too small in the coming years that the moving electrons in the transistor will make it very hot and it will not function properly. This will lead to the era of digital computers to come to an end and there will be need of quantum computers and hence quantum cryptography algorithms for securing data. As quantum cryptography is device specific and can only be done by using quantum computers. These quantum computers are large, expensive and complex to use and we do not have access to quantum computers. Considering these limitations, we need some simulation and emulation models that can check the working of key distribution algorithms. The main focus of the proposed research work is to design a resource efficient standalone system that will help to test the performance of quantum cryptography protocols and benefits the future researchers to implement already tested quantum key distribution protocols for making the IoT (Internet of Things) communication reliable and secure.
Supervised by Dr.Najam Ul Islam
</description>
<pubDate>Wed, 01 Jan 2020 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/123456789/10550</guid>
<dc:date>2020-01-01T00:00:00Z</dc:date>
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