Lahore Garrison University Research Journal of Computer Science and Information Technology
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227 research outputs found
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Cognitive Radio and Dynamic Spectrum Access Using Fuzzy Logic
Cognitive Radio is artificially intelligent radio. This research paper work presents an application of Cognitive Radio and Dynamic Spectrum Access with the help of fuzzy logic considering the inputs: radio and satellite frequency and outputs: adjust power and modulation. This research paper shows the real approach of comparing the simulation and design algorithm result and its successful use
Cloud Storage Security Using Blockchain Technology
Data is increasing with increasing Internet technology. To handle the large data, more applications choose to enlarge storage capacity via Cloud plate form. It will not a surprise if we say most organizations have moved towards the cloud. While using the cloud, we have to keep our trust for our sensitive and private data in third parties and the data is usually not encrypted. But we need to implement nearly procedures for the assurance of our reserved data. This will be occupied by blockchains. Blockchain has been a center of attention as a next-generation goal because of its security. A comprehensive approach is used in this paper by signifying diverse blockchain methods to protect cloud computing
PARK MY RIDE: Your True Parking Companion
Having a smart-phone for the people of any age is common these days. These smart-phones not only provide entertainment to customers but also help them work in a way to make their lives better. In recent times, many daily life problems have been addressed by using smart-phone technology. One of those problems is parking the vehicle. Due to the increase in population and the number of vehicles, the parking issue is getting worst day by day in many big and crowded cities of the world. People have to spend more money and time to find safe parking for their vehicles. The street and roadside parking causes various troubles like fines and damages to the vehicles. So, the paper presented here suggests the best possible solution for parking lots in Pakistan. By using android technology, an android application named “Park My Ride” has been introduced that will help its users to see parking spots near them with the space availability and a complete map navigation to access that parking lot. The administrator panel for parking owners will also help them to manage the booking of vehicles in their parking lots. It would not only save time but also ensures the safety of the vehicles
Diagnosis Health Effects of Pollution Produced by Coal Power Plants Using Mamdani Fuzzy Inference System
Coal Power Plants emit harmful products which pose potentially large risk to human health and the environment. Coal-fired power plant are source of nitrogen oxide, airborne fly ash and Sulphur. In substantially less attentions has been paid to detect the effect of these toxic elements present in coal pollution on the human health. In this Article, Fuzzy System (FS) is proposed to detect the Health effects of pollution produced by coal power plants. The proposed DHEPCPP-FS Smart System can categorize the different Health effects of pollution produced by coal power plants. The Proposed DHEPCPP-MFIS Expert System has six input variables at layer. The input variables are Carbon monoxide (CO). Black carbon, Nitrogen dioxide (NO ), Sulfur dioxide (SO ), Heavy metals and Black smoke which produce output condition of health like Lungs problem, Heart problem or Cancer. This paper also present an scrutiny of the results achieved by using Proposed DHEPCPP-MFIS Expert System ascertain effects of pollution on health produced by coal power plants processes with the medical expert opinion and researches conducted in the past
Internet of Things: Architectural Components, Protocols and Its Implementation for Ubiquitous Environment
Ubiquitous data processing of the sensing nodes has revolutionized the development of electronic industries manufacturing. The concept of the Internet of Things (IoT) is the connectivity of distributed sensing and processing nodes from anywhere rather than fixed computing. For the Implementation of Ubiquitous smart environment, anything and everything can be converted to smart IO Things, and where things have sensing and processing abilities for automation and analysis of environmental processes. Sensors, actuators, embedded processing systems, networking gateways, and IoT Cloud Services are the building blocks of IoT implementation. This paper presents a brief discussion on the connectivity of building blocks with various enabling technologies for the implementation of the Internet of Things. Moreover, many of data link standards and the internet of things data communication protocols will be in the discussion
Future Computing: DNA Hard Drives
DNA is a hard drive, the memory in every cell of every living organism that has the instructions on how to make that cell. With the exponential growth of our media, the growth of data storage is also increasing. DNA is incredible compact due to its molecular structure and can be used to achieve data attractively through genome sequencing. A raw limit of 1 Exabyte/mm3 (109 GB/mm3) having half-life of over 500 years. With this, all the data of the world can be stored in just a small place of a room
Flower Detection in Digital Image Processing using Global Image Enhancement Method
Flowers are plays an important role on the planet as they contain the reproduction part of plants. The only flower parts of plants have ability to produce different kinds of fruit, vegetable, and seeds for humans. Flower seeds also are used to produce oil. Honey bees collect nectar from flowers to produce honey. In this paper a new approach is proposed for flower detection. The proposed algorithm is use Global image enhancement and thresholdging technique for flower detection in digital images
Use of SPAN for Identified Network Traffic via Machine Learning
Few years back the number of wireless devices and their use in our daily life has been increased a lot. All devices cell phones, laptops, tablets, camera, TVs, home appliances have become a part of network now. As the network devices are growing and getting connected to each other the security risks are getting higher. All the companies and organizations are now establishing and implanting the public and private wireless networks. Organization have to pay heavy cost to implement and integrate all devices together on a network. As wireless networks are more vulnerable to threats and in security's a huge network all the devices should be identified whenever they enter or leave a network traffic pool the experimental work in this paper will elaborate the methods to identify the network traffic identification under encryption. This paper emphases on identification of devices based on layer 2 functionality by MAC (Media Access Code). Later on, the identification was improved using labeled or tagged traffic methods by use of SPAN (Switch port analyzer technique) technology or protocol with assistance ofVirtual Local Area Network. Many Supervised learning methods were examined during experiment and were referenced on data collected by real time traffic. The network traffic of multiple deceives gradually passes through network so incremental learning method is implemented as classification for streaming data
Preservation of Privacy of Big Data Using Efficient Anonymization Technique
Big data needs to be kept private because of the increase in the amount of data. Data is generated from social networks, organizations and various other ways, which is known as big data. Big data requires large storage as well as high computational power. At every stage, the data needs to be protected. Privacy preservation plays an important role in keeping sensitive information protected and private from any attack. Data anonymization is one of the techniques to anonymize data to keep it private and protected, which includes suppression, generalization, and bucketization. It keeps personal and private data anonymous from being known by others. But when it is implemented on big data, these techniques cause a great loss of information and also fail in defense of the privacy of big data. Moreover, for the scenario of big data, the anonymization should not only focus on hiding but also on other aspects. This paper aims to provide a technique that uses slicing, suppression, and functional encryption together to achieve better privacy of big data with data anonymization
Malvertising Through Cortana
In the digital World full of hackers and scammers, data security is what everyone needs the most. Hackers and scammers invent the new ways of stealing the information on daily basis. A comparatively modern concept in the World of hacking is malvertising. The major focus of this research paper is to evaluate the concept of malvertising through Cortana an artificial intelligence-based assistant introduced by Microsoft in windows 10. Sources of data are websites and other research papers. The major security breaches through malvertising are under consideration in this research paper. By evaluation, malvertising can be considered as one of the most dangerous security threats in digital World