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Research Article
Evaluation of Challenges for Extensive Use of Artificial Intelligence (AI) in Every Aspect of Life
Issue:
Volume 6, Issue 4, December 2023
Pages:
109-125
Received:
18 July 2023
Accepted:
9 August 2023
Published:
17 November 2023
Abstract: Artificial Intelligence (AI) is a technology that models human intelligence. It allows computer programs to learn from experience through iterative processing and algorithmic training. AI systems is getting smarter with each successful round of data processing; because each interaction gives the system a chance to test and measure solutions and get better at the job, and it has designed to do such miracle. Today, AI become so useful and pertinent that, in aspect of life it is must, as they get smarter and smarter. However, AI has been a hot topic in the recent time, and many debates and conversations have centered on, and also raise the question is how it might affect the job market. Major and general people worry that, AI will cause a lot of people to lose their jobs; while some technology lover people think that, it will lead to create lots of new and interesting jobs. AI's rise has been both exciting and discouraging, and many experts think that, it will have a big impact on the workplace and all aspect of life in near future. However, most of the people are realizing that, AI has the ability to make jobs more creative, lucrative and flexible, which will lead to a more inventive and skilled economy. Again, the technologies of today are starting to take away more jobs than they make, and unfortunately this trend will continue. Nowadays, there have been many ideas for how to solve this problem, and they all have to do with schooling. But, there isn't enough work for everyone in the world, so the whole school system needs to be changed, to reorganize and to be more purposeful. It is an analytical study in which the researcher tried to evaluate the extensive use of AI in all aspect of life and the consequence as well as future challenges waiting for globe.
Abstract: Artificial Intelligence (AI) is a technology that models human intelligence. It allows computer programs to learn from experience through iterative processing and algorithmic training. AI systems is getting smarter with each successful round of data processing; because each interaction gives the system a chance to test and measure solutions and get...
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Research Article
Blockchain at the Tactical Edge: Enabling an Internet of Battlefield Things
Bonnie Johnson*,
Anthony Kendall,
John Green,
Bruce Nagy,
Gregory Dogum,
Kristin Jones Maia,
Michele Meszaros,
Jonathan Novoa,
Rene Villarreal
Issue:
Volume 6, Issue 4, December 2023
Pages:
126-147
Received:
12 August 2023
Accepted:
6 September 2023
Published:
24 November 2023
Abstract: Future large-scale combat operations against a peer or near-peer adversary will involve a cyberspace domain in addition to the more traditional physical domains of air, land, sea, and space. The role that data and information play at every point in this continuum cannot be understated. Moreover, the ability to communicate effectively and coordinate across multiple domains simultaneously—to enable an internet of battlefield things—is dependent upon accessible and reliable information. This paper presents the results of a study that evaluated the use of blockchain technology to address challenges with increasing amounts of disparate sensor data and an information-rich landscape that can quickly overwhelm effective decision-making processes. The team explored how blockchain can be used at the tactical edge to support an internet of battlefield thing approach by verifying users, validating sensor data fed into artificial intelligence models, limiting access to data, and providing an audit trail across the data life cycle. The team developed a conceptual design for implementing blockchain for tactical data, artificial intelligence, and machine learning applications; identified challenges and limitations involved in implementing blockchain for the tactical domain; described the benefits of blockchain for these various applications; and evaluated the findings to propose future research into a wide set of tactical blockchain applications. The team studied three use cases: (1) blockchain at the tactical edge in a “data light” information environment for long range fires, (2) blockchain to secure tactical medical information in electronic health record, and (3) blockchain for collecting multiple types of tactical sensor data for chemical weapons defense to support measurement and signature intelligence analysis using artificial intelligence and machine learning.
Abstract: Future large-scale combat operations against a peer or near-peer adversary will involve a cyberspace domain in addition to the more traditional physical domains of air, land, sea, and space. The role that data and information play at every point in this continuum cannot be understated. Moreover, the ability to communicate effectively and coordinate...
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Research Article
Evaluation of Prospect and Challenges of Artificial Intelligence (AI) and Preparation for Future
Issue:
Volume 6, Issue 4, December 2023
Pages:
148-169
Received:
24 August 2023
Accepted:
4 October 2023
Published:
24 November 2023
Abstract: Modern technology Artificial intelligence (AI) is a simulation of human intelligence. Through repeated processing and algorithmic training, AI enables computer systems to learn from experience. It becomes smarter with each successful round of data processing since each interaction allows the AI system to test and measure solutions and improve so that it may perform even more miracles. Today, AI is a hot topic, and many disputes have erupted about how it will effect the labor market and when it will be phased out. The general public is concerned that AI will cause many individuals to lose their jobs. On the other hand, some technology enthusiasts believe that it will result in the creation of a plethora of diverse and intriguing occupations. Many experts believe it will have a significant impact on the workplace and many aspects of life in the near future. It is true that AI has the potential to make professions more creative, rewarding, and flexible, resulting in a more creative and skilled economy. However, advanced technologies have a tendency to eliminate more employment than they create, and this trend is likely to continue. There are numerous ideas for how to handle this problem nowadays, and an education and skill development program with a schooling system must be implemented. Because there isn't enough job for everyone in the world, the entire life style and education system must be transformed, as well as every component reorganized to make them more purposeful. It is an analytical study to assess the future prospects and challenges of AI, as well as the global implications, and determine how to prepare ourselves to mitigate such encounter.
Abstract: Modern technology Artificial intelligence (AI) is a simulation of human intelligence. Through repeated processing and algorithmic training, AI enables computer systems to learn from experience. It becomes smarter with each successful round of data processing since each interaction allows the AI system to test and measure solutions and improve so th...
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Research Article
Improving Internet Firewall Using Machine Learning Techniques
Martha Ozohu Musa*,
Temitope Victor-Ime
Issue:
Volume 6, Issue 4, December 2023
Pages:
170-179
Received:
4 November 2023
Accepted:
21 November 2023
Published:
29 November 2023
Abstract: Internet firewalls are a composite of both hardware and software components, which are employed to enforce a security policy dictating the movement of data between many networks. Conventional firewalls depend on pre-established rules and signatures in order to identify and prevent the transmission of harmful network traffic. Nevertheless, it is worth noting that the aforementioned regulations and authentication methods frequently remain unchanging and can be effortlessly circumvented by highly skilled assailants. This analysis improves the use of firewall in detecting internet attacks using machine learning techniques. This study introduces a novel approach to enhance internet firewall efficacy through the integration of machine learning techniques. By leveraging a sophisticated model, the proposed system achieves exceptional performance, attaining a remarkable 99.99% precision, recall, and F1-score. This significant advancement in accuracy demonstrates the potential of employing machine learning in fortifying internet security infrastructure. The model's ability to consistently and reliably discern malicious activities from benign traffic showcases its robustness in real-world scenarios, thus presenting a promising avenue for bolstering network defense mechanisms. This research not only contributes to the burgeoning field of cybersecurity but also lays the foundation for future innovations in adaptive and intelligent firewall systems.
Abstract: Internet firewalls are a composite of both hardware and software components, which are employed to enforce a security policy dictating the movement of data between many networks. Conventional firewalls depend on pre-established rules and signatures in order to identify and prevent the transmission of harmful network traffic. Nevertheless, it is wor...
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