Mitigating and Analysis of Memory Usage Attack in IoE System
<|reference_start|>Mitigating and Analysis of Memory Usage Attack in IoE System: Internet of Everything (IoE) is a newly emerging trend, especially in homes. Marketing forces toward smart homes are also accelerating the spread of IoE devices in households. An obvious risk of the rapid adoption of these smart devices is that many lack controls for protecting the privacy and security of end users from attacks designed to disrupt lives and incur financial losses. Today the smart home is a system for managing the basic life support processes of both small systems, e.g., commercial, office premises, apartments, cottages, and largely automated complexes, e.g., commercial and industrial complexes. One of the critical tasks to be solved by the concept of a modern smart home is the problem of preventing the usage of IoE resources. Recently, there has been a rapid increase in attacks on consumer IoE devices.   Memory corruption vulnerabilities constitute a significant class of vulnerabilities in software security through which attackers can gain control of an entire system. Numerous memory corruption vulnerabilities have been found in IoE firmware already deployed in the consumer market. This paper aims to analyze and explain the resource usage attack and create a low-cost simulation environment to aid in the dynamic analysis of the attack. Further, we perform controlled resource usage attacks while measuring resource consumption on resource-constrained victims' IoE devices, such as CPU and memory utilization. We also build a lightweight algorithm to detect memory usage attacks in the IoE environment. The result shows high efficiency in detecting and mitigating memory usage attacks by detecting when the intruder starts and stops the attack.<|reference_end|>
@article{alwaisi2024mitigating,
    title={Mitigating and Analysis of Memory Usage Attack in IoE System},
    author={Zainab Alwaisi, Simone Soderi, Rocco De Nicola},
    journal={Industrial Networks and Intelligent Systems,2023},
    year={2024},
    doi={10.1007/978-3-031-47359-3_22},
    archivePrefix={arXiv},
    eprint={2404.19480},
    primaryClass={cs.CR}
}