𝗦𝗣𝗘𝗖𝗜𝗔𝗟 𝗜𝗦𝗦𝗨𝗘 𝗼𝗻 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗺𝗲𝗻𝘁𝘀 𝗶𝗻 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝗼𝗿 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗮𝗻𝗱 𝗣𝗿𝗶𝘃𝗮𝗰𝘆: 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀, 𝗠𝗼𝗱𝗲𝗹𝘀, 𝗮𝗻𝗱 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀


This special issue in 𝗢𝗽𝗲𝗻 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 (𝗜𝗙 𝟮𝟬𝟮𝟮: 𝟭.𝟱) focuses on Advancements in Machine Learning for Cybersecurity and Privacy.
The objective of this special issue is to showcase the latest advancements in machine learning techniques, algorithms, models, and applications that address the challenges of ensuring cyber security and privacy in the digital age.

The intersection of machine learning, cyber security, and privacy is a critical area of research in today's digital landscape. By providing a dedicated platform to share and discuss advancements in this field, this special issue will foster collaboration, facilitate knowledge exchange, and inspire further research in the domains of machine learning, cyber security, and privacy.
We believe that this special issue will attract a wide range of submissions from researchers and practitioners across the globe, enabling a comprehensive exploration of the advancements in machine learning for cyber security and privacy. The publication of this special issue in Open Computer Science will not only enhance the journal's reputation but also contribute significantly to the scientific community.
The scope of this special issue includes, but is not limited to, the following topics:
• Novel machine learning algorithms for threat detection and anomaly detection.
• Privacy preserving machine learning techniques and models.
• Machine learning approaches for secure authentication and access control.
• Adversarial machine learning and countermeasures.
• Machine learning applications in securing Internet of Things (IoT) devices and networks.
• Deep learning models for malware detection and analysis.
• Machine learning for data protection and secure communication.


Authors are requested to submit their full revised papers complying with the general scope of the journal. The submitted papers will undergo the standard peer-review process before they can be accepted. Notification of acceptance will be communicated as we progress with the review process.

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𝑮𝑼𝑬𝑺𝑻 𝑬𝑫𝑰𝑻𝑶𝑹𝑺

Gulshan Kumar, Shaheed Bhagat Singh State University, Ferozepur (Punjab) India
Krishan Kumar, Punjab University, Chandigarh, India
Subhash Chander, Malout Institute of Management and Information Technology, Malout (Punjab) India
Munish Kumar, Maharaja Ranjit Singh Punjab Technical University, Bathinda (Punjab) India

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𝑫𝑬𝑨𝑫𝑳𝑰𝑵𝑬

The deadline for submissions is 𝗡𝗢𝗩𝗘𝗠𝗕𝗘𝗥 𝟯𝟬, 𝟮𝟬𝟮𝟯, but individual papers will be reviewed and published online on an ongoing basis.

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𝑯𝑶𝑾 𝑻𝑶 𝑺𝑼𝑩𝑴𝑰𝑻

All submissions to the Special Issue must be made electronically via the online submission system Editorial Manager:

𝗵𝘁𝘁𝗽𝘀://𝘄𝘄𝘄.𝗲𝗱𝗶𝘁𝗼𝗿𝗶𝗮𝗹𝗺𝗮𝗻𝗮𝗴𝗲𝗿.𝗰𝗼𝗺/𝗼𝗽𝗲𝗻𝗰𝘀/𝗱𝗲𝗳𝗮𝘂𝗹𝘁𝟮.𝗮𝘀𝗽𝘅

Please choose the article type “𝙎𝙄: 𝘼𝙙𝙫𝙖𝙣𝙘𝙚𝙢𝙚𝙣𝙩𝙨 𝙞𝙣 𝙈𝙖𝙘𝙝𝙞𝙣𝙚 𝙇𝙚𝙖𝙧𝙣𝙞𝙣𝙜 𝙛𝙤𝙧 𝘾𝙮𝙗𝙚𝙧𝙨𝙚𝙘𝙪𝙧𝙞𝙩𝙮 𝙖𝙣𝙙 𝙋𝙧𝙞𝙫𝙖𝙘𝙮”.

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𝑪𝑶𝑵𝑻𝑨𝑪𝑻

𝗼𝗽𝗲𝗻𝗰𝗼𝗺𝗽𝘂𝘁𝗲𝗿𝘀𝗰𝗶𝗲𝗻𝗰𝗲@𝗱𝗲𝗴𝗿𝘂𝘆𝘁𝗲𝗿.𝗰𝗼𝗺

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𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻, 𝗽𝗹𝗲𝗮𝘀𝗲 𝘃𝗶𝘀𝗶𝘁 𝗼𝘂𝗿 𝘄𝗲𝗯𝘀𝗶𝘁𝗲.

https://www.degruyter.com/journal/key/comp/html#overview