Understanding the Mirai Botnet

By Manos Antonakakis, Tim April, Michael Bailey, Matthew Bernhard, Elie Bursztein, J. Cochran, Zakir Durumeric, J. Alex Halderman, L. Invernizzi, Michalis Kallitsis and 9 more. USENIX Security Symposium, 2017

2,066 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/220a7eed5c859f596a0d9dbc194034d170a6af51

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Citations in the corpus

Security of smart manufacturing systems (2018, background): “Naturally, this is not helped when manufacturers fail to appreciate the large-scale implications of failing to secure individual devices appropriately and the high-profile IoT botnet Mirai [18], which caused the largest ever seen distributed denial of service attack, is a salutary example of this fa”
Edge Computing Security: State of the Art and Challenges (2019, methodology): “Available: http://dl.acm. org/citation.cfm?id=1251398.1251416 [113] P. Bisht, P. Madhusudan, and V. N. Venkatakrishnan, “CANDID: Dynamic candidate evaluations for automatic prevention of SQL injection attacks,” ACM Trans.”
BlackIoT: IoT Botnet of High Wattage Devices Can Disrupt the Power Grid (2018, methodology): “These studies demonstrated that IoT devices from cameras to locks can be compromised either directly or through their designated mobile applications by an adversary [12, 28, 43].”
Lucid: A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection (2020, background): “, the Mirai botnet [71] and its variants) demonstrate the potential value in edge-based DDoS attack detection.”
DÏoT: A Federated Self-learning Anomaly Detection System for IoT (2018, methodology): “Although we focused our evaluation on the most wellknown IoT malware so far: Mirai [1] for the use case, DÏOT is likely effective also in detecting other botnet malware like Persirai [27], Hajime [2], etc.”
SoK: Security Evaluation of Home-Based IoT Deployments (2019, background): “Security problems involving Internet of Things (IoT) continue to cause severe operational issues with high-profile attacks [1], mass exploitation of devices [2], and eye-catching headlines about “exotic” device hacking [3].”
TON_IoT Telemetry Dataset: A New Generation Dataset of IoT and IIoT for Data-Driven Intrusion Detection Systems (2020, background): “Another example of IoT attacks is the Mirai botnet in late 2016, which consisted primarily of compromised smart cameras, causing Internet-wide outages when it overwhelmed several high-proﬁle companies with massive distributed denial-of-service (DDoS) attacks [5].”
Demystifying IoT Security: An Exhaustive Survey on IoT Vulnerabilities and a First Empirical Look on Internet-Scale IoT Exploitations (2019, unknown): “2016: Mirai botnet [102] BrickerBot [78]”
Sonata: query-driven streaming network telemetry (2018, background): “Consider the problem of detecting the spread of malware via telnet [35], which is a common tactic targeting IoT devices [1].”
Security and Privacy in Smart Farming: Challenges and Opportunities (2020, methodology): “IoT devices used in smart farming environments can always be used to launch large scale denial of service (DoS) attacks [69] similar to what happened in 2016 using Mirai botnet [70].”
FLAME: Taming Backdoors in Federated Learning (2022, methodology): “We test backdoor attacks on IoT anomaly-based intrusion detection systems that often represent critical security applications [5, 16, 27, 30, 44, 45, 55].”
Lost in Translation, Found in Summary: Summary-Driven Supervision for Cross-Language Code Retrieval (2026, unknown): “…(i.e., our data construction and training procedure) to three pre-trained encoders, CodeBERT [10], GraphCodeBERT [13], and os.exit(0) We use 91 functions from the original C implementation of Mirai malware [2] as queries and construct the search corpus from the 257 Python functions in PyMirai [41].”