World Wide Web Server Research Articles

A Research Paper on Basic of Computer Network

Abstract: Computer networks facilitate the interconnection of systems for the purpose of exchanging digital information. Essentially, they comprise a collection of devices linked together through various connections. Distributed processing is employed in computer networks, wherein tasks are divided among multiple computers. However, one of the most pressing challenges faced by networks is the threat of resource attacks.This research paper delves into the fundamental concepts of computer networks, which are essentially a collection of devices interconnected via links. These devices, or nodes, encompass a variety of entities ranging from personal computers and phones to servers and networking hardware. Computer networks enable various applications to access resources such as the World Wide Web, shared application and storage servers, printers, fax machines, as well as email and instant messaging applications. They play a pivotal role in facilitating information sharing across diverse tasks.Computer networks can be classified into two types: open systems and closed systems. Open systems are easily connected to networks and are primed for communication. Conversely, closed systems require proper authentication and are not as readily connected to other networks..

Secure and resilient improved image steganography using hybrid fuzzy neural network with fuzzy logic

The exponential growth in communication networks, data technology, advanced libraries, and mainly World Wide Web services has played a pivotal role in facilitating the retrieval of various types of information as needed. However, this progress has also led to security concerns related to the transmission of confidential data. Nevertheless, safeguarding these data during communication through insecure channels is crucial for obvious reasons. The emergence of steganography offers a robust approach to concealing confidential information, such as images, audio tracks, text files, and video files, in suitable media carriers. A novel technique is envisioned based on back-propagation learning. According to the proposed method, a hybrid fuzzy neural network (HFNN) is applied to the output obtained from the least significant bit substitution of secret data using pixel value differences and exploiting the modification direction. Through simulation and test results, it has been observed that the proposed methodology achieves secure steganography and superior visual quality. During the experiments, we observed that for the secret image of the cameraman, the PSNR & MSE values of the proposed technique are 61.963895 and 0.041361, respectively.

Phishing URLs Detection Using Sequential and Parallel ML Techniques: Comparative Analysis

In today's digitalized era, the world wide web services are a vital aspect of each individual's daily life and are accessible to the users via uniform resource locators (URLs). Cybercriminals constantly adapt to new security technologies and use URLs to exploit vulnerabilities for illicit benefits such as stealing users' personal and sensitive data, which can lead to financial loss, discredit, ransomware, or the spread of malicious infections and catastrophic cyber-attacks such as phishing attacks. Phishing attacks are being recognized as the leading source of data breaches and the most prevalent deceitful scam of cyber-attacks. Artificial intelligence (AI)-based techniques such as machine learning (ML) and deep learning (DL) have proven to be infallible in detecting phishing attacks. Nevertheless, sequential ML can be time intensive and not highly efficient in real-time detection. It can also be incapable of handling vast amounts of data. However, utilizing parallel computing techniques in ML can help build precise, robust, and effective models for detecting phishing attacks with less computation time. Therefore, in this proposed study, we utilized various multiprocessing and multithreading techniques in Python to train ML and DL models. The dataset used comprised 54 K records for training and 12 K for testing. Five experiments were carried out, the first one based on sequential execution followed by the next four based on parallel execution techniques (threading using Python parallel backend, threading using Python parallel backend and number of jobs, threading manually, and multiprocessing using Python parallel backend). Four models, namely, random forest (RF), naïve bayes (NB), convolutional neural network (CNN), and long short-term memory (LSTM) were deployed to carry out the experiments. Overall, the experiments yielded excellent results and speedup. Lastly, to consolidate, a comprehensive comparative analysis was performed.

An Assessment of Lexical, Network, and Content-Based Features for Detecting Malicious URLs Using Machine Learning and Deep Learning Models.

The World Wide Web services are essential in our daily lives and are available to communities through Uniform Resource Locator (URL). Attackers utilize such means of communication and create malicious URLs to conduct fraudulent activities and deceive others by creating deceptive and misleading websites and domains. Such threats open the doors for many critical attacks such as spams, spyware, phishing, and malware. Therefore, detecting malicious URL is crucially important to prevent the occurrence of many cybercriminal activities. In this study, we examined a set of machine learning (ML) and deep learning (DL) models to detect malicious websites using a dataset comprising 66,506 records of URLs. We engineered three different types of features including lexical-based, network-based and content-based features. To extract the most discriminative features in the dataset, we applied several features selection algorithms, namely, correlation analysis, Analysis of Variance (ANOVA), and chi-square. Finally, we conducted a comparative performance evaluation for several ML and DL models considering set of criteria commonly used to evaluate such models. Results depicted that Naïve Bayes (NB) was the best model for detecting malicious URLs using the applied data with an accuracy of 96%. This research has made contribution to the field by conducting significant features engineering and analysis to identify the best features for malicious URLs predictions, compare different models and achieve a high accuracy using a large new URL dataset.

DIGITALISATION OF LIBRARIES (DIGITAL LIBRARIES) AND ITS SCOPE

In comparison to traditional libraries, digital libraries provide efficient and qualitative services by collecting, organizing, storing, disseminating, retrieving and preserving the information. Digital libraries support preservation besides making information retrieval and delivery more comfortable. It provides online access to historical and cultural documents whose existence is endangered due to physical decay. The major areas which offer digital libraries great exploitation are: Information retrieval, multimedia database, data mining, data warehouse, on-line information repositories, image processing, hypertext, World Wide Web and Wide Area Information Services (WAIS). Digital libraries necessarily include a strong focus on the management of digital content, just as traditional libraries have focused for long on the management of content in physical forms. Most of the digital content that is being managed includes human language, either in the form of character-coded electronic text, scanned versions of printed or handwritten text, or digital representations of human speech. Language technology therefore plays a major role in managing digital content. This comes as no surprise, of course. Digital libraries today make good use of what we know about searching large collections, and techniques such as machine-assisted indexing are employed increasingly often as we strive to extend our reach to progressively larger collections. But we are on the verge of a new era, one in which our machines will learn from what we do and then apply those capabilities to enable the management of digital content at a far larger scale than we could ever hope to do ourselves. Few advantages of digital libraries according to Haddouti are:User can access the information anywhere Reduces bureaucracy by providing access to the information The information is not necessarily located in same place Understanding the catalogue structure is not necessary Cross references to other documents speed up the work of users Full text search Protected information source Wide exploration and exploitation of the information The knowledge dissemination is an integral part of the success story of the popularity of creating digital libraries. The aim is to provide universal access to human knowledge, and given the advancement of digital storage and communications this goal is now achievable. KEY WORDS: Digitalization of Libraries, Role of community information centers in digitalization of libraries.

Kajian Ekspresi Diri pada Ruang Publik Dunia Maya dalam Perspektif Ontologis Layanan Internet World Wide Web

The use of the internet has a tremendous impact in terms of speed and forms of expression—the ease of spreading messages results in a flood of information full of diverse content. On the one hand, not everyone who receives information can filter and or respond appropriately, which causes the expression of mutual attack that is no longer based on straight rational considerations. The question is whether the internet as a medium is wholly unregulated or controlled by the government and can be left free? Is there no publicity of internet regulation as part of the conditioning of order and order in the common interest? Is it under the pretext that internet democracy can be used freely? This paper attempts to provide a solid argument through the search of the ancient Greek meaning of private and public space and an in-depth analysis of the World Wide Web (WWW) services so that from there comes a logical reason why the internet can and can be regulated in the common interest.

Invention a Paradigm to Discovery the Network Navigation Using Poisson Distribution

Due to increasing the act of Applied science College in Tamil Nadu, the level of competition for admission price is also increased. By implementing some dynamic strategies only the academic introduction s can meet their own competition. One survey clearly commonwealth that more than 75% of the Engineering Colleges their forcefulness is less than thirty % of their actual intake. Hence the surveillance is the job for the insane asylum s. One more survey shows that every year 10% of the applied science college’ windup their affiliation and blessing due to lack of admittance, and 5% of the engineering college have decided to sell due to lack of strength. With the strong effort and dynamic strategy framed by the institution, the nominee finds admission in an institution only when their own orientation matches exactly, otherwise the candidate continues to go by the next alternate in the list of preference [1]. This paper clearly emphasis some factors influenced to identify the pattern for getting the potency of the bookman to meet at least the breakeven point. In plus to the above, the Populace Wide Web in cyberspace plays an important role to store, part and distribute data about the academic innovation. A social survey states that more than 65% of the admissions gained by their effective network pages. The exponential ontogeny of the World Wide Web has provided an excessive prospect to study the potency student and their deportment by using www accession logs. If the institution’s web sphere clearly contains the information required for the potential educate, surely they can attract the above by which they can get more number of admissions even beyond our jurisdiction.[2] Some of the attractions from the potential students while accessing the web site for getting the admission are: get the required information by clicking minimum act of hits from the vane Page, no network traffic occurred while accessing and navigating the college World Wide Web website. Search interrogation will be rectified within a short period of answer time by implementing the practice of search railway locomotive optimization, search engine spiders. Always use fastest and latest browsers and operating systems in their WWW and not to display much more web server erroneousness while navigating the college web site. For attracting the counseling class and other state students, this network Thomas Nelson Page swordplay an important part. World Wide Web usage Mine lying is the practical application of data excavation techniques to very large data deposit to selection pattern radiation diagram. In general every World Wide Web server keeps a record book of all Synonyms/Hyponyms (Ordered by Estimated Frequency) of noun transaction needed for the potential students and act as a bridge between the potential students and introduction. The record contains full phase of the moon contingent about every user click to the entanglement documents of the entanglement site. The useful record 5 senses of detail needs to be scrutinized and inferred to gather knowledge about actual potential student and their parent preferences in accessing www pages. In recent years several method acting s have been proposed for mining web logarithm data. This theme its main intention is to use the statistical method of Poisson statistical distribution analysis to breakthrough out the higher probability session episode and also comparability the efficiency of our developed algorithm with Poisson value. The subject field of large volumes of click stream data demands the employment of data mining method. Conducting data mining on records of web host contains the determination of frequently occurring access sequences. A statistical method of toxicant distribution clearly shows the probability of oftenest of specific consequence when the norm probability of a single natural event is known. Here the probability of poison value is compared with the efficiency of our developed algorithm. For more bit of transactions, our developed algorithm its performance is better than poison value[3].Because our algorithms excerpt the authority tier as dependent rather independent. The Poisson distribution is used in this paper to find out the probability frequency of particular page is visited by the user as independent, but the result of the developed algorithm is dependent

Mining personality traits from social messages for game recommender systems

Recently, recommender systems for various types of resource received lots of attention due to the need for finding interesting resources from gigantic body such as World Wide Web or social network services. An emerging branch of recommender systems tried to recommend resources to users according to their personality traits and received promising results. In this work, we proposed an approach on recommending computer games to players according to their identified personality traits. We first applied text mining processes on some textual contents related to the players to identify their personality traits using the Five Factor Model. The same personality recognition process was also applied on contents related to games. The games with similar personality traits to the players’ were then recommended to the players. We performed experiments on 63 players and 2050 games with data collected from Steam and obtained satisfying result.

An Improved Image Steganography Method Based on LSB Technique with Random Pixel Selection

with the rapid advance in digital network, information technology, digital libraries, and particularly World Wide Web services, many kinds of information could be retrieved any time. Thus, the security issue has become one of the most significant problems for distributing new information. It is necessary to protect this information while passing over insecure channels. Steganography introduces a strongly approach to hide the secret data in an appropriate media carriers such as images, audio files, text files, and video files. In this paper, a new image steganography method based on spatial domain is proposed. According to the proposed method, the secret message is embedded randomly in the pixel location of the cover image using Pseudo Random Number Generator (PRNG) of each pixel value of the cover image instead of embedding sequentially in the pixels of the cover image. This randomization is expected to increase the security of the system. The proposed method works with two layers (Blue and Green), as (2-1-2) layer, and the byte of the message will be embedded in three pixels only in this form (3-2-3). From the experimental results, it has found that the proposed method achieves a very high Maximum Hiding Capacity (MHC), and higher visual quality as indicated by the Peak Signal-to- Noise Ratio (PSNR).

New Tool for Investigating QoS in the WWW Service

The subject of this paper is the QoS measurement in the World Wide Web (WWW) service. It will begin with a brief presentation of methods currently used to measure QoS in the WWW service before going on to describe in detail the new tool QoSCalc(WWW). Following that, the potential of the new tool will be put to the test in a series of analysis scenarios. The results and insights obtained will then be presented in several diagrams, and interpreted.

Some comments on 'Social media trends in medical history'.

Some comments on 'Social media trends in medical history'.

New Metric for World Wide Web Service Quality

The main topic of this paper is the quality of the WWW service evaluation. The authors present well-known measurement methods, and present the new “Power” metric for quality, advocating it as a method of assessing the quality of such service. This metric is based on the most important network parameters that affect any assessment of the WWW service, i.e. Web page opening time and download data transfer rate. The new method is easy to implement, fast in operation, and provides stable and repeatable results.

A Learning-Based Approach for Web Cache Management

Web caching has been widely used to alleviate Internet traffic congestion in World Wide Web (WWW) services. To reduce download throughput, an effective strategy on web cache management is needed to...

A Novel Solution based on NAT Traversal for High-speed Accessing the Campus Network from the Public Network

Chinese universities use the multi-outgoing exports to solve the problem of the traffic of bandwidth to the Internet for the campus network, but the world wide web servers in the campus network might still be accessed very slowly by some users outside the campus network (from the public network). We discuss and analyze the reasons for slowly accessing to the campus network form the public networks and a novel solution for high-speed accessing to the campus network for the local client in public network is put forward. We first introduce an NAT (Network Address Translation) traversal approach based on reverse TCP (Transmission Control Protocol) connection, which has the advantage of not requiring any intermediary server. We test our NAT traversal approach in real network environment and the results show that it is effective. Meanwhile, we also test the network performance between the campus network and the local public network after the NAT Router between them has been traversed by our approach and the results show that the network performance by the second export accessing to the campus network is much better than by the campus network export.

Genetic diagnosis and genetic counseling for androgen‐insensitivity syndrome: A report of three cases

In order to verify androgen-insensitivity syndrome (AIS) for three individuals and their mothers, genetic diagnosis was performed after genetic counseling. Polymerase chain reaction analysis was used for each exon of the androgen receptor (AR Xq11-q12) gene. The amplified DNA fragments were detected by gel electrophoresis. The DNA fragments were sequenced and their sequences were compared with those in a database (The Androgen Receptor Gene Mutations Database World Wide Web Server). A missense mutation was identified in exon 7 in case 1, deletions of exons 1 and 2 were identified in case 2, and a nonsense mutation was identified in the triplet repeat region of exon 1 in case 3. The mothers of the patients were also verified to be carriers of the mutations. Genetic diagnosis is a very useful method for diagnosing AIS. However, genetic counseling, including emotional support for the mother, is an essential component of genetic diagnosis.

A New Technique for Ranking Web Pages and Adwords

Web mining is an active research area which mainly deals with the application on data mining techniques on the data that is provided by the internet, the World Wide Web(WWW).The Information provided by the internet could be in either webpages, links structure of WWW or Web server logs. Web content mining, Web usage mining and Web structure mining are the three categories by which web mining is classified. This paper proposes a technique by which the search results can be refined in such a way that the results provided to the user are unique and the best suited result. This is achieved by using a new technique known as the Semantic Rank (SR) algorithm. The SR algorithm ranks the webpages in a more efficient way than the PageRank algorithm used by Google. Key terms Web Mining, Page rank, Search engine, Semantic rank.

Enhancement in Semantic Web using Web Services

The Semantic Web is a mesh of data connected up in such a way as to be effortlessly apply method on an international scale .It has being an efficient way of comprising data on World Wide Web, or as a globally linked databases.The significance of Semantic web is to comprise the data at alone location. This can be done likely with the World Wide Web service methods,which allows the functionality of various web sites into alone which is called web services.This paper shows the implementation minutia of web services.It also display that how the semantic web can be applied using World wide web services.The conceive of these web services is based on genuine servers which contains World Wide Web information.

Density-based spatial keyword querying

With the rocket development of the Internet, WWW(World Wide Web), mobile computing and GPS (Global Positioning System) services, location-based services like Web GIS (Geographical Information System) portals are becoming more and more popular. Spatial keyword queries over GIS spatial data receive much more attention from both academic and industry communities than ever before. In general, a spatial keyword query containing spatial location information and keywords is to locate a set of spatial objects that satisfy the location condition and keyword query semantics. Researchers have proposed many solutions to various spatial keyword queries such as top-K keyword query, reversed kNN keyword query, moving object keyword query, collective keyword query, etc. In this paper, we propose a density-based spatial keyword query which is to locate a set of spatial objects that not only satisfies the query’s textual and distance condition, but also has a high density in their area. We use the collective keyword query semantics to find in a dense area, a group of spatial objects whose keywords collectively match the query keywords. To efficiently process the density based spatial keyword query, we use an IR-tree index as the base data structure to index spatial objects and their text contents and define a cost function over the IR-tree indexing nodes to approximately compute the density information of areas. We design a heuristic algorithm that can efficiently prune the region according to both the distance and region density in processing a query over the IR-tree index. Experimental results on datasets show that our method achieves desired results with high performance.

Web Mining Research Issues and Future Directions – A Survey

This paper is a work on survey on the existing techniques of web mining and the issues related to it. The World Wide Web acts as an interactive and popular way to transfer information. Due to the enormous and diverse information on the web, the users cannot make use of the information very effectively and easily. Data mining concentrates on non trivial extraction of implicit previously unknown and potential useful information from the very large amount of data. Web mining is an application of data mining which has become an important area of research due to vast amount of World Wide Web services in recent years. The aim of this paper is to provide the past and current techniques in Web Mining. This paper also reports the summary of various techniques of web mining approached from the following angles like Feature Extraction, Transformation and Representation and Data Mining Techniques in various application domains. The survey on data mining technique is made with respect to Clustering, Classification, Sequence Pattern Mining, Association Rule Mining and Visualization. The research work done by different users depicting the pros and cons are discussed. It also gives the overview of development in research of web mining and some important research issues related to it.

SymbolChat: A flexible picture-based communication platform for users with intellectual disabilities

Persons with intellectual disabilities benefit from participating in the modern information society, especially the World Wide Web, social media and Internet-mediated communication services. Although several computer-based prototypes and commercial systems have been introduced for accessible in-person communication, currently few applications and services exist to support synchronous remote communication for this user group. We introduce SymbolChat, a software platform that supports the creation of multimodal communication applications utilizing picture-based instant messaging. End users and their support personnel can customize the input and output features of the application based on their individual needs and abilities. The interaction is based on touchscreen input and speech output using speech synthesis technology. The SymbolChat platform was developed together with the prospective end users and practitioners in the field of special needs care.We evaluated the prototype application in a field study with nine users with varying degrees of intellectual and other disabilities. The results clearly indicate that the participants were able to express themselves in spontaneous communication using a large-scale picture-based vocabulary (around 2000 symbols) even without prior training in the use of symbols. This finding was supported in the constructive feedback gathered from professionals working in the area. We also successfully applied methodology from other settings, such as child-computer interaction to evaluate interaction in this challenging context.Overall, the results show that social inclusion for people with intellectual disabilities can be improved with customizable communication tools. The implemented communication platform forms a solid basis for further improvements and new communication services. In addition, we found that users with motor impairments would greatly benefit from alternative input and output methods for symbol browsing and selection.