5G Security Threats
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Cited by 2 publications
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Modern communication systems are probable to surface new challenges while introducing innovative fronts concerning context consciousness in wireless networks. The main outcome behind this expected technological jump will be a whole novel set of intuiting aptitudes forecasted for Fifth Generation (5G) enabled devices. In line with 5G, Software De ned Networking (SDN) is also rising as an intrinsically novel phenomenon.SDN is an unconventional methodology and key technology in modern communication. SDN maintains favorable novelty about network programmability, where network administration is permitted with extraordinary intellections. SDN architecture has the prospective to allow, simplify or augment security implementations in network through instantly reprogrammable centralized view of the data plane. In the near future, 5G and SDN will ripe mobile communication through the development of state-of-the-art implementations such as a smart city, advanced military security, modern national defense, intelligent tra c, etc.; thereby, these emerging mobile communication concepts invoke various signi cant topics, where security is a paramount implication. Therefore, we initiate our focus from basic architecture of 5G and SDN. Next, we analyze security requirements, solutions and challenges in joint paradigm of 5G and SDN. Further, considering the modern communication technological shift, we discuss future trends and research directions in the joint era of 5G and SDN technologies. IntroductionThe unremitting growth in the capacity and aspects of data apprehended by technological advancements has shaped diversi ed ow of data in either organized or unorganized format such as the rise of social media, Internet of Things (IoTs) for Healthcare [1] and huge multimedia communications. Indeed, the rapid expansion of the Internet industry is considerably dependent on communication system speed, which has emerged as a critical steering factor for the advancement in computer networks [2]. Scienti c advancements are rapidly changing the information technology; thereby computer networks are expanding towards incorporation, dissemination, modi cation and intelligence [3]. The pillar behind this anticipated technological hop will be an entire novel set of aptitudes forecasted for Fifth Generation (5G) communication [4]. 5G is encapsulating all advanced emerging technologies like Arti cial Intelligence (AI) [5]. Within the near future, 5G will reap portable communication organized through the advancement of inventive executions such as smart city, smart grid system, advanced military security etc. So, it is considered fundamental to boost the organized engineering of 5G technology. Likewise, Software De ned Networking (SDN) technology is expanding eminently everywhere globally due to its programmable [6], economical, agile, robust and consolidated networking. 5G is more complex and harder to manage as compared to conventional computer telecommunications and satellite communication systems. SDN is a potential organized design that abridge...
Modern communication systems are probable to surface new challenges while introducing innovative fronts concerning context consciousness in wireless networks. The main outcome behind this expected technological jump will be a whole novel set of intuiting aptitudes forecasted for Fifth Generation (5G) enabled devices. In line with 5G, Software De ned Networking (SDN) is also rising as an intrinsically novel phenomenon.SDN is an unconventional methodology and key technology in modern communication. SDN maintains favorable novelty about network programmability, where network administration is permitted with extraordinary intellections. SDN architecture has the prospective to allow, simplify or augment security implementations in network through instantly reprogrammable centralized view of the data plane. In the near future, 5G and SDN will ripe mobile communication through the development of state-of-the-art implementations such as a smart city, advanced military security, modern national defense, intelligent tra c, etc.; thereby, these emerging mobile communication concepts invoke various signi cant topics, where security is a paramount implication. Therefore, we initiate our focus from basic architecture of 5G and SDN. Next, we analyze security requirements, solutions and challenges in joint paradigm of 5G and SDN. Further, considering the modern communication technological shift, we discuss future trends and research directions in the joint era of 5G and SDN technologies. IntroductionThe unremitting growth in the capacity and aspects of data apprehended by technological advancements has shaped diversi ed ow of data in either organized or unorganized format such as the rise of social media, Internet of Things (IoTs) for Healthcare [1] and huge multimedia communications. Indeed, the rapid expansion of the Internet industry is considerably dependent on communication system speed, which has emerged as a critical steering factor for the advancement in computer networks [2]. Scienti c advancements are rapidly changing the information technology; thereby computer networks are expanding towards incorporation, dissemination, modi cation and intelligence [3]. The pillar behind this anticipated technological hop will be an entire novel set of aptitudes forecasted for Fifth Generation (5G) communication [4]. 5G is encapsulating all advanced emerging technologies like Arti cial Intelligence (AI) [5]. Within the near future, 5G will reap portable communication organized through the advancement of inventive executions such as smart city, smart grid system, advanced military security etc. So, it is considered fundamental to boost the organized engineering of 5G technology. Likewise, Software De ned Networking (SDN) technology is expanding eminently everywhere globally due to its programmable [6], economical, agile, robust and consolidated networking. 5G is more complex and harder to manage as compared to conventional computer telecommunications and satellite communication systems. SDN is a potential organized design that abridge...
Internet of Things and Distributed Computing Systems in Business Models
The integration of the Internet of Things (IoT) and Distributed Computing Systems (DCS) is transforming business models across industries. IoT devices allow immediate monitoring of equipment and processes, mitigating lost time and enhancing efficiency. In this case, manufacturing companies use IoT sensors to monitor machinery, predict failures, and schedule maintenance. Also, automation via IoT reduces manual intervention, resulting in boosted productivity in smart factories and automated supply chains. IoT devices generate this vast amount of data, which businesses analyze to gain insights into customer behavior, operational inefficiencies, and market trends. In turn, Distributed Computing Systems process this data, providing actionable insights and enabling advanced analytics and machine learning for future trend predictions. While, IoT facilitates personalized products and services by collecting data on customer preferences and usage patterns, enhancing satisfaction and loyalty, IoT devices support new customer interactions, like wearable health devices, and enable subscription-based and pay-per-use models in transportation and utilities. Conversely, real-time monitoring enhances security, as distributed systems quickly respond to threats, ensuring operational safety. It also aids regulatory compliance by providing accurate operational data. In this way, this study, through a Bibliometric Literature Review (LRSB) of 91 screened pieces of literature, aims at ascertaining to what extent the aforementioned capacities, overall, enhance business models, in terms of efficiency and effectiveness. The study concludes that those systems altogether leverage businesses, promoting competitive edge, continuous innovation, and adaptability to market dynamics. In particular, overall, the integration of both IoT and Distributed Systems in business models augments its numerous advantages: it develops smart infrastructures e.g., smart grids; edge computing that allows data processing closer to the data source e.g., autonomous vehicles; predictive analytics, by helping businesses anticipate issues e.g., to foresee equipment failures; personalized services e.g., through e-commerce platforms of personalized recommendations to users; enhanced security, while reducing the risk of centralized attacks e.g., blockchain technology, in how IoT and Distributed Computing Systems altogether impact business models. Future research avenues are suggested.
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