Cloud-based Parallel Computing System Via Single-Client Multi-Hash Single-Server Multi-Thread

There has been a meteoric rise in the total amount of digital texts as a direct result of the proliferation of internet access. As a direct result of this, document clustering has evolved into a crucial method that must be used in order to successfully extract relevant information from big document collections. When employing the document clustering approach, documents are automatically sorted into groups whose members have a high degree of similarity to one another. These groups are created by applying the document clustering technique. Because they do not take into account the semantic linkages that exist between the texts, traditional clustering approaches are unable to provide an acceptable description of a collection of texts. This is because traditional clustering techniques. Document clusters, in which texts are ordered according to their meaning rather than their use of keywords, have been extensively utilized as a means of overcoming these challenges as a result of the incorporation of semantic information. This has been possible as a result of the fact that document clusters can group together related texts. In this investigation, we looked at a total of 27 distinct papers that were published over the previous five years and categorized the documents based on the semantic similarities that existed between the various pieces. A detailed literature evaluation is included to each and every one of the publications that were selected for further consideration. Comparative research is carried out on a wide variety of evaluation strategies, including as algorithms, similarity metrics, instruments, and processes. Following that, there is a drawn-out discussion that analyzes the similarities and differences between the activities.

Section: Web Search Enginementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Document Clustering in the Age of Big Data: Incorporating Semantic Information for Improved Results

Haji¹,

Al-Zebari²,

Şengür³

et al. 2023

“…The implementation of security protocols that make use of quantum physics has lately gained a great deal more interest than it did before. This strategy may now be used with a wider variety of quantum key distribution systems and network services, which are all compatible with it [62].…”

Section: Background Theorymentioning

confidence: 99%

An Investigation of Quantum and Parallel Computing Effects on Malware Families Classification

Taha

2023

The proliferation of malicious software is a major concern for organizations and consumers alike. Malware is used to compromise computer systems and networks for malevolent purposes. Consequently, categorizing malware is essential for safeguarding systems from harmful assaults. Developers of malicious software are always coming up with novel techniques to avoid detection by security researchers. However, in recent years, quantum computing has developed rapidly and shown considerable advantages in a number of sectors, particularly in the area of cybersecurity. A quantum approach may be useful in conjunction with existing software for finding the most often occurring hashes and n-grams that are characteristic of malicious software. The time it takes to map n-grams to their hashes may be reduced if we load the table of hashes and n-grams into a quantum computer. The first step is to utilize Kilogram to identify the most prevalent hashes and n-grams in a large collection of malware. Once the hash table is generated, it is sent into a quantum simulator. The entangled key-value pairs are then searched through a quantum search method to locate the appropriate hash value. In contrast to the quantum algorithm's potential runtime of O(N) in the number of table lookups required to get the requisite hash values, re-computing hashes for a set of n-grams may take on average O(MN) time. The main purpose of this research is to address the significant effects of quantum and parallel computing on malware families’ classification.

“…The International Telecommunications Union (ITU) stresses improvements in item identification, sensor technology, and the capability for environmental communication in its description of the Internet of Things (IoT) [30], [31]. Since the introduction of cutting-edge consumer electronics, more than 45 million intelligent home components have been marketed in different regions around the world [32]- [34]. The installation of commodity systems, which are often referred to as innovative off-the-shelf systems, may be carried out by the typical end-user with little to no special preparation required (e.g., Samsung SmartThings, Google Home) [34]- [37].…”

Section: Introductionmentioning

confidence: 99%

Internet of Things Impact on Web Technology and Enterprise Systems

Yazdeen¹,

Qashi²,

Malallah³

et al. 2023

It's been clearer over the last two decades that computer science plays a crucial role in the growth of every company. With each passing cycle, the IT industry blossoms a brand-new subfield. The Internet of Things (IoT) refers to the idea of connecting any device to the Internet in order to interact with the consumer and convert it into an intelligent device; this is a relatively new concept in the realm of information technology (IT) and the Internet, but it is gaining popularity and importance in people's daily lives. The Internet of Things is predicted to play a pivotal role in the development of business IT infrastructure. With the help of IoT, we can link billions of smart gadgets that can talk to one another in an automated fashion. One of the most rapidly expanding fields in computer history, with an expected 50 billion devices by the end of 2020. Security techniques, such as encryption, authentication, access control, network security, and application security, are rendered useless when applied to Internet of Things (IoT) devices because of these inherent weaknesses. The Internet of Things (IoT) has attracted the attention of many academics and industry leaders, who have published studies and made statements on the significance of IoT architectural layers for corporate systems (ESs). This literature study included a wide variety of studies that implemented and developed IoT technology in several human domains, including healthcare, smart homes and cities, assisted charities, and monitoring systems. The article also detailed the computers and programs that facilitated each study. Plus, the reliable algorithm used in the research articles' tests and analyses of data. Lastly, drawing parallels between these publications helps to provide insight on the difficulties and possibilities facing potential IoT impact researchers in the industrial sector.