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Wireless and Optical Technologies (GCWOT), 2020 Global Conference on

作者： Warda Haider Shehnila Zardari Shiza Riaz Memon Muhammad Aamir Department of Software Engineering NED University of Engineering & Technology Karachi Pakistan Department of Telecommunication Engineering Sir Syed University of Engineering & Technology Karachi Pakistan

ISBN: (数字)9798331534271

ISBN: (纸本)9798331534288

In today's networking environments caching algorithms plays a very important role to get the best use of resources and maximizing performance of networks. In this paper, we conduct a comparative analysis of the three caching algorithms: Dependent set, Cover set and Mixed set. Every algorithm is intended to solve one problem of rule dependency management and cache optimization in the network switches. Each has its strengths and trade-offs, and a detailed comparison across dozens of dimensions, throughput, adaptability, memory usage, cache-hit rate, execution time, resource efficiency, scalability (both operational- and system-level), flexibility in supporting different workloads, robustness to system behavior changes independent of user behavior (like the slow generation asymptote), and operational stability just to name a few popular ones, are relevant for many high-scale web services products. There are many other dependencies in the region, so pay a lot of memory which is not acceptable for the very first versions. The Dependent Set algorithm is designed to be an optimized memory, easy to adapt and resource-efficient rule dependency manager. This further enforces the emphasis on rule coverage policies of the Cover Set algorithm, improving cache performance and scalability. The Mixed Set algorithm combines the strengths of both methods providing a rounded approach, with throughput, adaptability and resource allocation. The study examines the benefits of each algorithm in real-world situations. It shows how they improve network efficiency and adaptability. This research expands our understanding of caching algorithms. It explains how they optimize networks. This paves the way for better network management and performance. By comparing these algorithms, the paper provides useful information. It helps network administrators and researchers enhance caching mechanisms in networks.

关键词： Wireless communication Web services Scalability Software algorithms Throughput Stability analysis Robustness Resource management Software defined networking Thermal stability

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Optimizing Underwater Acoustic Sensor Networks: Insights from Energy-Efficient, Reliable, and Void Issue-Based Routing Protocols

Optimizing Underwater Acoustic Sensor Networks: Insights fro...

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Wireless and Optical Technologies (GCWOT), 2020 Global Conference on

作者： Muhammad Umar Khan Muhammad Aamir Waleej Haider Department of Telecommunication Engineering Sir Syed University of Engineering and Technology Pakistan Department of Computer Science and Information Technology Sir Syed University of Engineering and Technology Pakistan

ISBN: (数字)9798331534271

ISBN: (纸本)9798331534288

The Underwater Acoustic Sensor Network (UASN) is based on the sensory elements that detect the environmental conditions of submerged regions and transmit the information through acoustic waves at the sink node placed on top of the water. All these sensory elements are battery-operated just like the Terrestrial Wireless Sensor Network (TWSN). However, these nodes are not stationary, unlike the nodes in TWSN. Thus, routing with limited energy and ever-changing topology decreases the reliability of the network and increases the chances of Void existence. This research paper focuses on the comparative analysis by critically reviewing some of the state-of-the-art routing protocols which are based on the effective usability of the limited energy resource, reliability of the network, and Void occurrence issues. An analytical method is employed to examine the strengths and shortcomings of existing routing protocols, with a specific emphasis on the identified difficulties. It provides a solid foundation related to UASN routing protocols which are primarily designed with a focus on resolving issues such as limited energy, low reliability, and high chances of void occurrence. The contribution of this comparative study helps the research partners from the academy and industry which are new to this field of study and would like to contribute.

关键词： Wireless communication Wireless sensor networks Energy resolution Solids Routing protocols Energy efficiency Topology Reliability Underwater acoustics Usability

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Invariant of Enhanced AES Algorithm Implementations Against Power Analysis Attacks

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computers, Materials & Continua 2022年第7期72卷 1861-1875页

作者： Nadia Mustaqim Ansari Rashid Hussain Sheeraz Arif syed Sajjad Hussain Department of Electronic Engineering Dawood University of Engineering&TechnologyKarachiPakistan Faculty of Engineering Sciences and Technology Hamdard UniversityKarachiPakistan Faculty of Information Technology Salim Habib UniversityKarachiPakistan Faculty of Computer Sciences SZABISTKarachiPakistan

The security of Internet of Things(IoT)is a challenging task for researchers due to plethora of IoT *** Channel Attacks(SCA)are one of the major *** prime objective of SCA is to acquire the information by observing the power consumption,electromagnetic(EM)field,timing analysis,and acoustics of the ***,the attackers perform statistical functions to recover the *** Encryption Standard(AES)algorithm has proved to be a good security solution for constrained IoT *** paper implements a simulation model which is used to modify theAES algorithm using logicalmasking *** invariant of the AES algorithm hides the array of bits during substitution byte transformation of *** model is used against SCAand particularly Power Analysis Attacks(PAAs).Simulation model is designed on MATLAB *** will give better solution by hiding power profiles of the IoT devices against *** future,the lightweight AES algorithm with false key mechanisms and power reduction techniques such as wave dynamic differential logic(WDDL)will be used to safeguard IoT devices against side channel attacks by using Arduino and field programmable gate array(FPGA).

关键词： Side channel attacks power analysis attacks network security masking advance encryption standard

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Mango Farming Optimization With AI: Boosting Cultivation Efficiency 3

Mango Farming Optimization With AI: Boosting Cultivation Eff...

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3rd International Conference on Computing and Information technology, ICCIT 2023

作者： Ahmed, syed Umaid Khan, Mohammad Rafay Siddiqui, Muhammad Emmad Department of Computer Sciences Karachi Pakistan Ned University of Engineering and Technology Department of Electronic Engineering Karachi Pakistan Ned University of Engineering and Technology Department of Industrial & Manufacturing Engineering Karachi Pakistan

ISBN: (纸本)9798350321487

Mangoes have long played an important role in global import and export, but a fall in mango commerce has been seen over the past few years, preventing producers from meeting market demand. The predominant cause of this loss is the prevalence of mango tree disease, which finally transforms healthy and fruitful mango orchids into low-yield varieties. Our proposed approach offers a "Mango Leaf Health Detection Dataset"for mango tree health detection. The dataset has been validated and tested with YOLO v5s, YOLO v7, and YOLO v8s. The YOLO Algorithm analyzes the image of the leaf by passing it through a pipeline consisting of redefining the image in grid cells, constructing bounding boxes, and predicting the class. This not only saves time, but also delivers accurate and effective results, thereby designating the area of the orchid where pesticide must be treated. Our trained YOLO v7 detection video can be found Blue here, and the dataset used can be accessed Blue here. © 2023 IEEE.

关键词： Object detection

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Lung Cancer Detection using Artificial Neural Network on Android

Lung Cancer Detection using Artificial Neural Network on And...

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Wireless and Optical Technologies (GCWOT), 2020 Global Conference on

作者： Aemon Jawaid Jawaria Hafeez Sallar Khan Aqeel Ur Rehman Computer Science Department Sir Syed University of Engineering & Technology Karachi Pakistan

Cancer is a disease that threatens majority of the world’s survival rate. Lung cancer is one of most deadly malignancies, having a high rate of morbidity and death compared to other cancers. The goal of this paper is to identify lung cancer from a CT scan by employing image processing, segmentation, feature extraction and classification of lung cancer with stage detection to find reliable results. Artificial Neural Network has been used for classification and staging of cancerous nodule. This concept is built on Android smartphone technology, and it aims to make cancer diagnosis as simple as possible. Early detection of lung cancer opens the gate to a variety of treatment options, effective recoveries, and eventually, increased survival prospects. The proposed work intends to promote early detection of cancer in lung with stage detection. Our system is able to obtain an accuracy of 96.5%.

关键词： Wireless communication Training Wireless sensor networks Sensitivity Operating systems Computed tomography Lung cancer

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Frameworks, Applications and Challenges in Streaming Big Data Analytics: A Review 3

Frameworks, Applications and Challenges in Streaming Big Dat...

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3rd International Conference on Innovations in computer Science and Software engineering, ICONICS 2022

作者： Nabeel Mustafa, syed Muhammd Umer Farooque, Muhammad Tahir, Muhammad Khan, Shariq Mahmood Qamar, Rohail NED University of Engineering and Technology Dept. of Computer Science and I.T Karachi Pakistan Sir Syed University of Engineering and Karachi Dept. of Software Engineering Pakistan

ISBN: (纸本)9781665461412

Data output has increased dramatically in the twenty-first century. The speed at which data is introduced into the stream has increased as a result of the digitization of practically all industries. Big data refers to this enormous amount of data. A complex network of data with volume, velocity, diversity, authenticity, and value makes up this information. To derive useful insights from the data, it became necessary to examine the data. The term "streaming Big data"refers to data that changes very quickly. Big data analytics that are live or streaming have significantly improved analytics. Instantaneous analytics of the real-Time data are provided by streaming big data analytics, assisting the decision-makers. Big data analytics in real-Time has taken center stage in business. We thoroughly examine the phenomenon of streaming Big data analytics in this review study. We also look at the various streaming analytics frameworks in use. Additionally, we look into the fields in which streaming Big Data analytics are applied as well as the difficulties encountered. © 2022 IEEE.

关键词： Big data

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Identification of Damaged Date Palm Tree in a Farm using IoT-based Thermal Image Analysis

Identification of Damaged Date Palm Tree in a Farm using IoT...

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2023 IEEE International Conference on computer, Information, and Telecommunication Systems, CITS 2023

作者： Nadeem, Adnan Ashraf, Muhammad Mehmood, Amir Siddiqui, Muhammad Shoaib Almoamari, Hani Abbasi, Qammer H. Islamic University of Madinah Faculty of Computer and Information Systems Madinah42351 Saudi Arabia Federal Urdu University of Arts Science and Technology Department of Physics Karachi75300 Pakistan Sir Syed University of Engineering and Technology Department of Computer Science and Information Technology Karachi75300 Pakistan James Watt School of Engineering University of Glasgow Glasgow United Kingdom

ISBN: (纸本)9798350336092

The Kingdom of Saudi Arabia is one of the world's leading fresh date producers. Identifying damaged date palm trees on the farm is important for saving water and stopping the spread of pest which has caused the damage. In this paper, we aim to evaluate the performance of IoT-based thermal image camera input for the automatic detection of damaged trees in a Date Tree farm. The thermal images will be obtained by an IoTbased thermal camera attached to UAV. Then the temperature histogram vector will be generated which will be fed to the SVM for identification of the damaged tree. The system will raise the alarm along with the coordinates of the damaged tree for the farmer to proactively deal with the issue. The initial results of the tested scenario are encouraging for its detailed implementation in the future. © 2023 IEEE.

关键词： Cameras

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Lightweight security Mechanism for IoT Applications using Substitution-Box

Lightweight security Mechanism for IoT Applications using Su...

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AI in Cybersecurity (ICAIC), International Conference on

作者： Fozia Hanif Rehan Shams Urooj Waheed Department of Mathematics University of Karachi Karachi Pakistan Department of Telecommunication Sir Syed University of Engineering and Technology Karachi Pakistan Department of Computer Science DHA Suffa University Karachi Pakistan

ISBN: (数字)9798331518882

ISBN: (纸本)9798331518899

In recent times the use of small computing devices for gathering information from the real world is increasing day by day. The devices like wireless sensors, RIFD tags, embedded devices and IoT devices are required to transmit huge amounts of confidential data for monitoring and controlling. IoT applications have now become an important factor across various industries. That is why the security of IoT device is always been an important issue, because they transmit private and sensitive data. For handling the security issue cryptography is one the way for handling the security issues of IoT devices but sometimes cryptographic algorithms are cracked and as well as very costly. Lightweight cryptography requires less memory and less computational cost. Substitution box is a very useful concept in generating the lightweight cryptographic algorithm that provide robust security in the process of encryption. This study produces lightweight cryptographic encryption and decryption algorithm with the help of substitution boxes. The provided scheme not only provides the encryption procedure but also generating a flexible key structure which enhances the security for IoT devices where lightweight image encryption is crucial. The provided technique will be beneficial for those places where confidential public data has to be secured. The aim of this paper is to recommend effective original and straightforward techniques of encryption and decryption by using the substitution box. Experimental results show the efficiency of the suggested technique in terms of execution time and throughput.

关键词： Wireless communication Ciphers Wireless sensor networks Throughput Encryption Sensors Security Internet of Things S Box Radiofrequency identification

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Analytical Model for Underwater Wireless Sensor Network Energy Consumption Reduction

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computers, Materials & Continua 2022年第7期72卷 1611-1626页

作者： Huma Hasan Rizvi Sadiq Ali Khan Rabia Noor Enam Kashif Nisar Muhammad Reazul Haque Computer Science Department UBIT Karachi UniversityKarachi75270Pakistan Sir Syed University of Engineering and Technology Karachi75300Pakistan Faculty of Computing and Informatics University Malaysia SabahJalan UMS88400Kota KinabaluSabahMalaysia Faculty of Computing&Informatics Multimedia UniversityPersiaran Multimedia63100CyberjayaSelangorMalaysia

In an Underwater Wireless Sensor Network(UWSN),extreme energy loss is carried out by the early expiration of sensor nodes and causes a reduction in efficiency in the submerged acoustic sensor *** based on clustering strategies,instead of each node sending information by itself,utilize cluster heads to collect information inside the clusters for forwarding collective information to *** can effectively minimize the total energy loss during *** environment of UWSN is 3D architecture-based and follows a complex hierarchical clustering strategy involving its most effecting unique parameters such as propagation delay and limited transmission *** base clustering strategy works in rounds,where each round comprises three fundamental stages:cluster head selection,grouping or node association,and data aggregation followed by forwarding data to the *** UWSN,the energy consumed during the formation of clusters has been considered casually or completely evaded in the previous *** this paper,the cluster head setup period has been considered the main contributor to extra energy utilizer.A numerical channel model is proposed to compute extra *** is performed by using a UWSN broad *** results have shown that extra maximum energy consumption is approximately 12.9 percent of the system total energy consumed in information transmissions.

关键词： Analytical model submerged acoustic sensor systems energy loss round base clustering UWSN extra energy

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GAHBT: Genetic-Based Hashing Algorithm for Managing and Validating Health Data Integrity in Blockchain technology

Blockchain in Healthcare Today

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Blockchain in Healthcare Today 2023年第2期6卷 2023 Feb 7;6页

作者： Hanif, Fozia Waheed, Urooj Shams, Rehan Shareef, Aisha Department of Mathematics University of Karachi Karachi Pakistan Department of Computer Science DHA Suffa University Karachi Pakistan Department of Telecommunication Engineering Sir Syed University of Engineering and Technology Karachi Pakistan

A method for managing, securing, and validating health data distribution records using a genetic-based hashing algorithm in a decentralized environment is presented in this research report. The rationale for choosing blockchain is to secure the transaction of health data and protect these data from manipulated fraudulent movement and corruption by a contributor to the chain, or any individual. Our approach uses technology that provides an efficient surveillance measure, including transparency of records, immunity from fraud, and protection from tampering, as well as sustaining the order of data. For medical research, the results here provide a genetic-based hashing algorithm for data security, which has lower computational complexity, low space coverage, higher security and integrity, and a high avalanche effect. The simulation will show the validity, immunity, and integrity of the data record. The technique modified in this secure decentralized network is a cryptographic hashing algorithm for 512 bits. In this study, a genetic algorithm (GA) is used to generate a key that must be used in the encryption and decryption of medical data. A GA is a metaheuristic approach in-spired by the laws of genetics;and it is generally used to generate high-quality solutions for complex problems. Applications of GAs are possible in medical fields, such as radiology, oncology, cardiology, endocrinology, surgery, oncology, and radiotherapy in healthcare management. © 2023, Partners in Digital Health. All rights reserved.

关键词： Genetic algorithms

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