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Analysis of Interdependency of ICCT Underlying Technologies and Related New Research Opportunities with Special Emphasis on Cyber Security and Forensic Science

P. S. Aithal, Shubhrajyotsna Aithal
2021 Zenodo  
In this paper, some of the current status and future prospective new research opportunities using a combination of two or more ICCT underlying technologies with special emphasis on cyber security and forensic  ...  These ICCT underlying technologies are expected to change the current solutions for various problems in industries and society and hence considered as emerging technologies of the 21st century and expected  ...  threats in cloud computing. • Next-generation cybersecurity through a blockchain-enabled federated cloud framework. • A deep learning approach on cyberattack detection in a mobile cloud computing environment  ... 
doi:10.5281/zenodo.5560247 fatcat:m7c27wylhfdkfmpqvw6gzlgdfa

Table of Contents

2021 IEEE Transactions on Industrial Informatics  
C. de Albuquerque 5511 A Blockchain-Based Deep Learning Approach for Cyber Security in Next Generation Industrial Cyber-Physical Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Nandana 5495 SPECIAL SECTION ON SOFTWARIZED NETWORKING FOR NEXT GENERATION INDUSTRIAL CYBER-PHYSICAL SYSTEMS Guest Editorial: Softwarized Networking for Next Generation Industrial Cyber-Physical Systems  ... 
doi:10.1109/tii.2021.3074236 fatcat:ecg3x7fxpjhctcugcpysidoy2u

Federated Deep Learning for Cyber Security in the Internet of Things: Concepts, Applications, and Experimental Analysis

Mohamed Amine Ferrag, Othmane Friha, Leandros Maglaras, Helge Janicke, Lei Shu
2021 IEEE Access  
for cyber security in the internet of things. • Federated learning-based IDS: It reports whether the study provided a taxonomy for federated learning-based cyber security intrusion detection systems for  ...  Tab. 5 presents works on blockchain and federated learning-based solutions for cyber security in IoT applications. A.  ...  His research interests include wireless network security, network coding security, and applied cryptography.  ... 
doi:10.1109/access.2021.3118642 fatcat:222fgsvt3nh6zcgm5qt4kxe7c4

Towards Trusted and Intelligent Cyber-Physical Systems: A Security-by-Design Approach [article]

Sabah Suhail, Raja Jurdak, Raimundas Matulevičius
2021 arXiv   pre-print
The complexity of cyberattacks in Cyber-Physical Systems (CPSs) calls for a mechanism that can evaluate the operational behaviour and security without negatively affecting the operation of live systems  ...  Following a hybrid approach, the proposed framework not only acquires process knowledge from the specifications of the CPS, but also relies on AI to learn security threats based on sensor data.  ...  Whereas integrating IT and OT systems in Cyber-Physical Systems (CPSs) provides promising solutions in a plethora of ubiquitous industrial ecosystems, it introduces novel attack vectors [2] such as Man-in-the-Middle  ... 
arXiv:2105.08886v2 fatcat:zmydwgd4cbb2tevm5uihvc6pcy

Introduction to the Special Issue on Evolving IoT and Cyber-Physical Systems: Advancements, Applications, and Solutions

Anand Nayyar, Pijush Kanti Dutta Pramankit, Rajni Mohana
2020 Scalable Computing : Practice and Experience  
Deep et al. in the paper titled "Access Management of User and Cyber-Physical Device in DBAAS According to Indian IT Laws Using Blockchain" proposed a novel blockchain solution to track the activities  ...  Bhadwal et al. in the paper titled "A Machine Translation System from Hindi to Sanskrit Language Using Rule Based Approach" proposed a rule-based machine translation system to bridge the language barrier  ...  Deep et al. in the paper titled "Access Management of User and Cyber-Physical Device in DBAAS According to Indian IT Laws Using Blockchain" proposed a novel blockchain solution to track the activities  ... 
doi:10.12694/scpe.v21i3.1568 fatcat:xxchxqjwcvcvjouwgf56gketyu

Toward a Sustainable Cybersecurity Ecosystem

Shahrin Sadik, Mohiuddin Ahmed, Leslie F. Sikos, A. K. M. Najmul Islam
2020 Computers  
In addition, associated solutions based on artificial intelligence and machine learning frameworks to prevent cyber-risks are also discussed.  ...  Cybersecurity issues constitute a key concern of today's technology-based economies. Cybersecurity has become a core need for providing a sustainable and safe society to online users in cyberspace.  ...  In [51] , the current deep learning approaches have been surveyed for intrusion detection.  ... 
doi:10.3390/computers9030074 doaj:3e2e5a6ff03d45719675ef789f1e0982 fatcat:i2aqvqwp5zcohkbx3vkz4iibcy

An Ensemble Deep Learning-based Cyber-Attack Detection in Industrial Control System

Abdulrahman Al-Abassi, Hadis Karimipour, Ali Dehghantanha, Reza M. Parizi
2020 IEEE Access  
The proposed approach is a generalized technique, which can be implemented in existing ICS infrastructures with minimum effort.  ...  INDEX TERMS Cyber-attacks, critical infrastructure, industrial control system, integrity attack, operation technology, information technology, deep learning, neural network.  ...  In this paper, we proposed a generalized ensemble deep learning-based cyber-attack detection method specifically designed for ICS.  ... 
doi:10.1109/access.2020.2992249 fatcat:vtudysg4z5fe5f3e2ppylysx7a

Smart Grid: A Survey of Architectural Elements, Machine Learning and Deep Learning Applications and Future Directions [article]

Navod Neranjan Thilakarathne, Mohan Krishna Kagita, Dr. Surekha Lanka, Hussain Ahmad
2020 arXiv   pre-print
The Smart grid (SG), generally known as the next-generation power grid emerged as a replacement for ill-suited power systems in the 21st century.  ...  This paper explores and surveys the Smart grid architectural elements, machine learning, and deep learning-based applications and approaches in the context of the Smart grid.  ...  supply reliability and protection.SGs are a complex Cyber Physical System by their very nature.  ... 
arXiv:2010.08094v1 fatcat:b63nrnsg2bepvokxujhlxkx2tu

Guest Editorial: AI and Machine Learning Solution Cyber Intelligence Technologies: New Methodologies and Applications

Ke Yan, Lu Liu, Yong Xiang, Qun Jin
2020 IEEE Transactions on Industrial Informatics  
security, cyber-enabled applications in healthcare, and computing for well-being.  ...  Jin served as a Guest Editor for numerous academic journals and magazines, such as IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, IEEE MULTIMEDIA,  ...  facility management, cyber-physical systems (CPS), IoT, smart city, Internet economy, cyber social networks, cyber security, cyber learning, cyber economics, human-machine interaction, blockchain technology  ... 
doi:10.1109/tii.2020.2988944 fatcat:h7wqymdnybdnxcmllm75pxynge

A Literature Review on Blockchain-enabled Security and Operation of Cyber-Physical Systems [article]

Alvi Ataur Khalil, Javier Franco, Imtiaz Parvez, Selcuk Uluagac, Mohammad Ashiqur Rahman
2021 arXiv   pre-print
The cyber-physical systems (CPS) is one of the prominent application domains that leverage blockchain for myriad operations, where the Internet of Things (IoT) is utilized for data collection.  ...  To fill this gap, we present a comprehensive overview of contemporary advancement in using blockchain for enhancing different CPS operations as well as improving CPS security.  ...  Cyber-Physical Systems The concept of CPS is based on systems that incorporate both cyber and physical systems to exchange data in real time.  ... 
arXiv:2107.07916v1 fatcat:ygtkdpy23zbvridw3olxufhdiq

Geometric Deep Lean Learning: Deep Learning in Industry 4.0 Cyber–Physical Complex Networks

Javier Villalba-Díez, Martin Molina, Joaquín Ordieres-Meré, Shengjing Sun, Daniel Schmidt, Wanja Wellbrock
2020 Sensors  
the quality and efficiency of processes that generate new business for both, hence generating new products, services, and cooperation opportunities in a cyberphysical environment.  ...  We assume that artificial intelligence in general and deep learning in particular may be able to help find useful patterns of behavior in 4.0 industrial environments in the lean management of cyberphysical  ...  at the Escuela Técnica Superior de Ingenieros Industriales of the Universidad Politécnica de Madrid, for their inspiration, vitality, and energy in transmitting knowledge.  ... 
doi:10.3390/s20030763 pmid:32019148 pmcid:PMC7038400 fatcat:2pqzvrzvmfaj7mmpqtz2h6mwse

Privacy-Preserving Schemes for Safeguarding Heterogeneous Data Sources in Cyber-Physical Systems

Marwa Keshk, Benjamin Turnbull, Elena Sitnikova, Dinusha Vatsalan, Nour Moustafa
2021 IEEE Access  
In order to protect CPSs from prospect cyber-threats, it is essential to discover system components vulnerabilities to prohibit Advanced Persistent Threats (APTs) and keep their generated data secure using  ...  This paper introduces a comprehensive review of the current privacy-preserving techniques for protecting CPS systems and their data from cyber attacks.  ...  His areas of interest include Cyber Security, in particular, Network Security, IoT security, intrusion detection systems, statistics, Deep learning and machine learning techniques.  ... 
doi:10.1109/access.2021.3069737 fatcat:zcgizjkslzbonejocasygt464u

An Ensemble Deep Learning-based Cyber-Attack Detection in Industrial Control System [article]

Abdulrahman Al-Abassi and Hadis Karimipour
2020 arXiv   pre-print
The proposed approach is a generalized technique, which can be implemented in existing ICS infrastructures with minimum changes.  ...  In this paper, we propose a deep representation learning model to construct new balanced representations of the imbalanced dataset.  ...  In this paper, we proposed a generalized ensemble deep learning-based cyber-attack detection method specifically designed for ICS.  ... 
arXiv:2005.00936v1 fatcat:n3tqa2hpxfbcjnfi7g3xrvqyzi

Smart Grid: A Survey of Architectural Elements, Machine Learning and Deep Learning Applications and Future Directions

Machine Learning and Deep Learning Applications and Future Directions Smart Grid: A Survey of Architectural Elements
2021 Zenodo  
Journal of Intelligent Systems and Internet of Things (JISIoT) Vol. 3, No. 1, PP. 32-42, 2021  ...  SG, a unique deep learning and blockchain based energy framework [26, 27] is presented.  ...  Cyber Physical Systems are a mixture of computational and physical characteristics and can be widely found in different domains, including the modern SG [8] - [10] .  ... 
doi:10.5281/zenodo.5202740 fatcat:pmd4sdasgjgczluc53nc6xmyuy

Deep Learning Approaches for Intrusion Detection in IIoT Networks – Opportunities and Future Directions

Thavavel Vaiyapuri, Zohra Sbai, Haya Alaskar, Nourah Ali
2021 International Journal of Advanced Computer Science and Applications  
In this paper, we present a survey of deep learning-based IDS technique for IIoT.  ...  In recent years, the Industrial Internet of things (IIoT) is a fastest advancing innovative technology with a potential to digitize and interconnect many industries for huge business opportunities and  ...  ACKNOWLEDGMENT The authors are very grateful to thank their Deanship of Scientific Research for technical and financial support in publishing this work successfully.  ... 
doi:10.14569/ijacsa.2021.0120411 fatcat:vhguxgz3x5fxvde65ljlvmhanq
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