Distributed dual-layer autonomous closed loops for self-protection of 5G/6G IoT networks from distributed denial of service attacks

Benlloch-Caballero, Pablo; Wang, Qi; Calero, José M. Alcaraz

doi:10.1016/j.comnet.2022.109526

Cited by 12 publications

(11 citation statements)

References 19 publications

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“…To provide distributed dual-layer self-protection capabilities against distributed denial of service (DDoS) assaults, a novel cognitive closed-loop system is proposed by Benlloch-Caballero et al [62]. For the distinct business roles of the stakeholders, digital service providers (DSPs), and infrastructure service providers (ISPs), respectively, the proposed system uses concurrent autonomous closed-loops in a novel way.…”

Section: Responsementioning

confidence: 99%

Insights into Cybercrime Detection and Response: A Review of Time Factor

Taherdoost

2024

Information

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Amidst an unprecedented period of technological progress, incorporating digital platforms into diverse domains of existence has become indispensable, fundamentally altering the operational processes of governments, businesses, and individuals. Nevertheless, the swift process of digitization has concurrently led to the emergence of cybercrime, which takes advantage of weaknesses in interconnected systems. The growing dependence of society on digital communication, commerce, and information sharing has led to the exploitation of these platforms by malicious actors for hacking, identity theft, ransomware, and phishing attacks. With the growing dependence of organizations, businesses, and individuals on digital platforms for information exchange, commerce, and communication, malicious actors have identified the susceptibilities present in these systems and have begun to exploit them. This study examines 28 research papers focusing on intrusion detection systems (IDS), and phishing detection in particular, and how quickly responses and detections in cybersecurity may be made. We investigate various approaches and quantitative measurements to comprehend the link between reaction time and detection time and emphasize the necessity of minimizing both for improved cybersecurity. The research focuses on reducing detection and reaction times, especially for phishing attempts, to improve cybersecurity. In smart grids and automobile control networks, faster attack detection is important, and machine learning can help. It also stresses the necessity to improve protocols to address increasing cyber risks while maintaining scalability, interoperability, and resilience. Although machine-learning-based techniques have the potential for detection precision and reaction speed, obstacles still need to be addressed to attain real-time capabilities and adjust to constantly changing threats. To create effective defensive mechanisms against cyberattacks, future research topics include investigating innovative methodologies, integrating real-time threat intelligence, and encouraging collaboration.

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Section: Responsementioning

confidence: 99%

Insights into Cybercrime Detection and Response: A Review of Time Factor

Taherdoost

2024

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“…Este proceso examina políticas de acceso, actualizaciones de software y configuraciones de firewall. [27]. Según 14 estudios, la revisión detallada de configuraciones de seguridad verifica que los ajustes de se establezcan y mantengan correctamente.…”

Section: P2: ¿Qué Pruebas De Penetración Realizan Los Isp Para Detect...unclassified

Exploración integral de la seguridad en redes de proveedores de servicios de internet: Una revisión sistemática de literatura

Viteri Hernández,

Ávila

2024

Perspectivas

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La seguridad de las redes de los Proveedores de Servicios de Internet (ISP) se erige como un pilar fundamental en la salvaguarda de la información y los servicios esenciales en línea. Esta relevancia adquiere mayor peso en la actualidad, dado que la dependencia del internet se ha vuelto crucial en nuestras vidas cotidianas. Sin embargo, el incremento de la sofisticación de los ataques cibernéticos exige la implementación de medidas de seguridad eficaces para resguardar tanto los datos como los servicios. El propósito de este trabajo consiste en proporcionar una visión integral de la seguridad en las redes de los ISP, abarcando las medidas de seguridad existentes y las innovadoras diseñadas para mitigar los ataques cibernéticos. Este objetivo se materializa a través de una revisión sistemática de literatura, donde se analizaron 57 documentos seleccionados de las bases de datos de SpringerLink, Scopus y Web of Science. La metodología de Kitchenham se empleó como marco estructurado y detallado para planificar, ejecutar y reportar esta revisión. Los resultados obtenidos revelan que los ISP implementan una variedad de mecanismos de seguridad, que incluyen firewalls, sistemas de detección y prevención de intrusiones, así como pruebas de penetración integrales. Estos enfoques holísticos se revelan como esenciales para mitigar los ataques cibernéticos de manera efectiva. Se llega a la conclusión de que la combinación de diversas medidas de seguridad, desde el uso de firewalls avanzados hasta la implementación de cifrado de datos, junto con la realización periódica de pruebas de penetración, subraya la importancia de adoptar una estrategia integral de seguridad en la infraestructura en los ISPs.

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“…A new cognitive closed‐loop system was developed in Benlloch‐Caballero et al 34 to provide distributed dual‐layer self‐protection capabilities. Comparative analysis of federated deep learning approaches was introduced in Kim et al 35 for higher accuracy in detecting attacks.…”

Section: Related Workmentioning

confidence: 99%

Artificial intelligence enabled Luong Attention and Hosmer Lemeshow Regression Window‐based attack detection in 6G

Bhuvaneshwari¹,

Balusamy

Dhanaraj

et al. 2023

Int J Communication

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SummaryRegardless of the developments of networking and communication technologies, security is without exception a predominant feature to ensure network reliability. The future sixth‐generation (6G) network is anticipated to be carried out with artificial intelligence (AI) powered communication via machine learning (ML), post‐quantum cryptography, and so on. AI‐powered communication has been in recent years utilized in enhancing network traffic performance with respect to resource management, optimal frequency spectrum design, security, and latency. The studies of modern wireless communications and anticipated features of 6G networks revealed a prerequisite for designing a trustworthy attack detection mechanism. In this work, a method called, Luong Attention and Hosmer Lemeshow Regression Window‐based (LA‐HLRW) attack detection in 6G is proposed. Initially, with the raw Botnet Attack dataset obtained as input, preprocessing is performed to normalize network traffic features. Next, the dimensionality of network traffic feature of large‐scale network traffic data is reduced using the Luong Attention integrated with Long Short Term Memory (LSTM)‐based Feature extraction model. Finally, with the objective of classifying network traffic samples for attack detection in 6G, we analyze the low dimensional network traffic feature set produced by Luong Attention integrated with LSTM using the Hosmer Lemeshow Logistic Regression Window‐based Attack Detection model. Extensive experiments are performed with the Botnet Attack dataset to validate the efficiency of the proposed LA‐HLRW method by using different parameters such as attack detection accuracy, attack detection time, precision, and recall. The overall analysis of proposed LA‐HLRW results significantly reduced the attack detection time by 24%, and additionally improved attack detection accuracy, precision, and recall by 5%, 5%, and 6% as compared to existing attack detection methods respectively.

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Distributed dual-layer autonomous closed loops for self-protection of 5G/6G IoT networks from distributed denial of service attacks

Cited by 12 publications

References 19 publications

Insights into Cybercrime Detection and Response: A Review of Time Factor

Insights into Cybercrime Detection and Response: A Review of Time Factor

Exploración integral de la seguridad en redes de proveedores de servicios de internet: Una revisión sistemática de literatura

Artificial intelligence enabled Luong Attention and Hosmer Lemeshow Regression Window‐based attack detection in 6G

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