Biblio
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A Diagnostic survey on Sybil attack on cloud and assert possibilities in risk mitigation. 2022 First International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR). :1–6.
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2022. Any decentralized, biased distributed network is susceptible to the Sybil malicious attack, in which a malicious node masquerades as numerous different nodes, collectively referred to as Sybil nodes, causing the network to become unresponsive. Cloud computing environments are characterized by their loosely linked nature, which means that no node has comprehensive information of the entire system. In order to prevent Sybil attacks in cloud computing systems, it is necessary to detect them as soon as they occur. The network’s ability to function properly A Sybil attacker has the ability to construct. It is necessary to have multiple identities on a single physical device in order to execute a concerted attack on the network or switch between networks identities in order to make the detection process more difficult, and thereby lack of accountability is being promoted throughout the network. The purpose of this study is to Various varieties of Sybil assaults have been documented, including those that occur in Peer-to-peer reputation systems, self-organizing networks, and other similar technologies. The topic of social network systems is discussed. In addition, there are other approaches in which it has been urged over time that they be reduced or eliminated Their potential risks are also thoroughly investigated.
Wireless Self-Organizing Wi-Fi and Bluetooth based Network For Internet Of Things. 2019 International Conference on Engineering and Telecommunication (EnT). :1—5.
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2019. Modern Internet of Things networks are often proprietary, although based on open standards, or are built on the basis of conventional Wi-Fi network, which does not allow the use of energy-saving modes and limits the range of solutions used. The paper is devoted to the study and comparison of two solutions based on Wi-Fi and Bluetooth with the functions of a self-organizing network and switching between transmission channels. The power consumption in relation to specific actions and volumes of transmitted data is investigated; a conclusion is drawn on the conditions for the application of a particular technology.
A Novel Self-Organizing Network Solution Towards Crypto-ransomware Mitigation. Proceedings of the 13th International Conference on Availability, Reliability and Security. :48:1–48:10.
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2018. In the last decade, crypto-ransomware evolved from a family of malicious software with scarce repercussion in the research community, to a sophisticated and highly effective intrusion method positioned in the spotlight of the main organizations for cyberdefense. Its modus operandi is characterized by fetching the assets to be blocked, their encryption, and triggering an extortion process that leads the victim to pay for the key that allows their recovery. This paper reviews the evolution of crypto-ransomware focusing on the implication of the different advances in communication technologies that empowered its popularization. In addition, a novel defensive approach based on the Self-Organizing Network paradigm and the emergent communication technologies (e.g. Software-Defined Networking, Network Function Virtualization, Cloud Computing, etc.) is proposed. They enhance the orchestration of smart defensive deployments that adapt to the status of the monitoring environment and facilitate the adoption of previously defined risk management policies. In this way it is possible to efficiently coordinate the efforts of sensors and actuators distributed throughout the protected environment without supervision by human operators, resulting in greater protection with increased viability