Using Deep Learning to Classify Power Consumption Signals of Wireless Devices: An Application to Cybersecurity

Albasir, Abdurhman; James, R. Soundar Raja; Naik, Kshirasagar; Nayak, Ameeya Kumar

doi:10.1109/icassp.2018.8461304

Cited by 6 publications

(1 citation statement)

References 11 publications

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“…Generally, the analysis and detection techniques for malware attacks are classified into (Al-Janabi and Altamimi, 2020; Top 10 Malware, 2020; Albasir et al, 2018;Lin et al, 2020;Baptista et al, 2019): 1) Dynamic 2) Static and 3) Hybrid Static analysis is faster as they can analyze the code without running and they deal with false-positive. Techniques based on static analysis are computationally effective and safer.…”

Section: Malware Attackmentioning

confidence: 99%

Cyber Security Threats and Countermeasures using Machine and Deep Learning Approaches: A Survey

Manjula¹,

Venkatesh²,

Venugopal³

2023

Journal of Computer Science

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Recent advancements in e-business, e-healthcare, e-governance, and online digital transactions have brought valuable benefits. Unfortunately, it raises severe cyber-attacks. Cyberattacks disrupt normal operations, try to retrieve confidential information and defense secrets, and subvert the nation's defense systems and Internet-connected devices. Cyber security solutions are required to detect, analyze, defend against threats and protect sensitive data from unauthorized access. This study gives a detailed survey of different cybersecurity attacks, like Denial-of-service attacks, Botnet Evasion Attacks, Malware invasions, Spam and phishing invasion, Spoofing, Domain Generation algorithms, Probing attacks, R2L, and U2R attacks. This research review emphasizes Machine Learning and Deep Learning-based approaches to Cybersecurity problems. This study's key highlights are the research challenges, cybersecurity issues, cyber security domains, and tools for the Intrusion detection system. Data sets play a vital role in cybersecurity research; hence, Private and Publically available datasets are reviewed in this study. Various performance matrices are discussed in this survey which can be used to evaluate the effectiveness of cybersecurity solutions.

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Section: Malware Attackmentioning

confidence: 99%