Related references
Note: Only part of the references are listed.
Article
Computer Science, Artificial Intelligence
Wen-Qi Duan et al.
Summary: With the rapid spread of information technology in our daily lives, security has become a significant issue. Users' concerns about social media privacy have risen, and incidents of data breaches have raised worries about information security.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2022)
Article
Chemistry, Multidisciplinary
Jesus Diaz-Verdejo et al.
Summary: Signature-based Intrusion Detection Systems (SIDS) are crucial for organizations, but activating default rulesets may impact performance. This study experimentally explores the performance of three SIDS in the context of web attacks, finding that predefined settings significantly influence detection capability and false alarm rate.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Information Systems
Hashem Alyami et al.
Summary: Cyber-attacks are increasingly complex, posing challenges for intrusion-detection systems and the trustworthiness of security services. Organizations are using various methods to safeguard system credibility, including establishing policies, raising user awareness, and selecting efficient IDS.
Article
Computer Science, Interdisciplinary Applications
Chao Shang et al.
Summary: The study evaluates the barriers of Circular Supply Chains (CSCs) during the transition to Industry 4.0 using an innovative decision-making approach. The findings identify a lack of knowledge about Industry 4.0 technologies and circular approaches as a primary barrier, followed by issues related to data security, knowledge deficiency in data management, and a lack of awareness of the potential benefits of autonomous systems in labor-oriented activities. The study reveals the importance of understanding these barriers and suggests effective strategies for sustainable development.
JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
(2022)
Article
Computer Science, Information Systems
Sumit Badotra et al.
Summary: SDN offers many advantages by separating network intelligence from underlying infrastructure, but also introduces security concerns. DDoS attacks pose a significant threat to SDN growth, emphasizing the need for early detection. This study presents an early DDoS detection tool using SNORT IDS, which effectively detects fast DDoS attacks, enhancing SDN controller performance without compromising overall network functionality.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
(2021)
Article
Computer Science, Hardware & Architecture
Silvio E. Quincozes et al.
Summary: Smart Grids integrate the traditional power grid with information processing and communication technologies, with substation intelligent devices now communicating digitally for remote information gathering, monitoring, and control. The IEC-61850 international standard addresses substation communication networks and systems, but standardized communication brings new cyber-security challenges. Research focuses on analyzing attacks exploiting IEC-61850 substations and efforts to detect and prevent them.
Article
Green & Sustainable Science & Technology
Mohamed Abdel-Basset et al.
Summary: Due to the increased demand for energy, renewable energy sources like solar energy have become more popular. The need to identify suitable locations for solar photovoltaic farms involves consideration of various factors such as technical, economic, environmental, sociopolitical dimensions, and risks. The hybrid multi-criteria decision-making approach used in this study facilitated the ranking of solar photovoltaic farm locations in Egypt, with the Benban solar photovoltaic farm identified as the most sustainable option.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Computer Science, Artificial Intelligence
Thammarat Panityakul et al.
Summary: The study combines the complex q-rung orthopair fuzzy set (Cq-ROFS) with the principle of Heronian mean (HM) operator to introduce a series of new operators for aggregating attributes to determine reliability and consistency. Physical and non-physical threats exist in computer systems, requiring specific operators for analysis and control. The reliability and efficacy of the proposed approaches are demonstrated through numerical examples, comparative analysis, advantages, and graphical interpretations.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2021)
Article
Chemistry, Analytical
Parushi Malhotra et al.
Summary: The rapid growth of IoT has unlocked the vision of a smart world but also raised significant security concerns. The research focuses on intrusion detection systems, analyzes various threats, discusses healthcare applications and security issues in IoT, and addresses research challenges for dealing with anomalies effectively.
Article
Chemistry, Multidisciplinary
Nuno Oliveira et al.
Summary: This study proposed a sequential approach and evaluated the performance of different machine learning techniques on the CIDDS-001 dataset. Experimental outcomes suggest that anomaly detection can be better addressed from a sequential perspective, with Long-Short Term Memory (LSTM) proving to be highly reliable in acquiring sequential patterns in network traffic data.
APPLIED SCIENCES-BASEL
(2021)
Article
Green & Sustainable Science & Technology
Abdullah Alharbi et al.
Summary: Machine learning plays a critical role in providing proactive security mechanisms in cybersecurity, swiftly responding to intrusions and security incidents. Current cybersecurity issues include anomaly detection, phishing attacks, and malware identification, with the assessment using multi-criteria decision making methods and hesitant fuzzy sets to build more effective intrusion detection systems.
Article
Computer Science, Artificial Intelligence
Arunodaya Raj Mishra et al.
Summary: The study proposed an integrated framework to address multi-criteria SRP selection problem using the q-ROFS model, and verified the robustness of the framework through sensitivity analysis.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
(2021)
Article
Automation & Control Systems
Sun Cheng et al.
Summary: The study aims to develop a comprehensive framework for implementing the ERM framework under the sustainability platform, considering 29 sub-criteria based on four main aspects. A new fuzzy decision-making approach (VIKOR-q-ROFSs) is introduced to identify, rank, and evaluate the main criteria of SERM.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2021)
Article
Computer Science, Information Systems
Georgios Zachos et al.
Summary: The healthcare sector is undergoing transformation due to the rise of IoT and IoMT technology, which aims to improve patient's quality of life. However, the vulnerability of IoMT networks to threats requires the development of novel security mechanisms, such as effective intrusion detection systems.
Article
Computer Science, Artificial Intelligence
Zongda Wu et al.
Summary: This paper proposes a method to protect users' commodity viewing privacy by constructing dummy requests on a trusted client to confuse and cover up user preferences on the untrusted server-side. The study introduces a privacy model and an implementation algorithm to measure the effectiveness of confusion and cover-up effects. The results show that the proposed approach effectively enhances the security of users' commodity viewing privacy on the untrusted server-side.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Construction & Building Technology
Tanveer Ahmad et al.
Summary: Private businesses and policymakers are driving the adoption of smart grid technology innovations to support smart energy systems, utilizing advances like IoT for energy applications. The study explores various IoT applications in energy systems, including business operations, data transmission networks, and power generation, aiming to provide insights into recent developments and revenue opportunities in the IoT energy market, which is projected to reach $26.5 billion by 2023.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Chemistry, Analytical
Marek Sikora et al.
Summary: The volume of cyber attacks is growing every year, with DoS attacks being one of the most common and dangerous types. Slow DoS attacks are difficult to detect accurately, leading to the development of an advanced attack generator for testing vulnerabilities and enhancing network system security.
Review
Computer Science, Information Systems
Valentin Mullet et al.
Summary: Industry 4.0 is a manufacturing revolution that introduces disruptive technologies such as IoT and cloud computing, increasing automation and improving production efficiency, but also posing cybersecurity threats. This paper discusses concepts and practices related to cybersecurity in Industry 4.0 manufacturing factories, presenting vulnerabilities, threats, and recent cybersecurity solutions.
Article
Computer Science, Information Systems
Sultan H. Almotiri
Summary: In the rapidly evolving landscape of cyber threats, effective detection of malicious traffic is crucial. Traditional detection systems may fail to recognize many known or modern security threats, highlighting the need for more advanced approaches.
Article
Automation & Control Systems
Adjei Peter Darko et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2020)
Article
Computer Science, Artificial Intelligence
Sunday Oyinlola Ogundoyin et al.
APPLIED SOFT COMPUTING
(2020)
Article
Computer Science, Information Systems
Salvatore Carta et al.
Article
Computer Science, Information Systems
Panagiotis Radoglou-Grammatikis et al.
Review
Telecommunications
Ghafar A. Jaafar et al.
JOURNAL OF COMPUTER NETWORKS AND COMMUNICATIONS
(2019)
Article
Computer Science, Artificial Intelligence
Peide Liu et al.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2018)
Article
Computer Science, Artificial Intelligence
Zhengmin Liu et al.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2018)
Article
Computer Science, Artificial Intelligence
Guiwu Wei et al.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2018)
Article
Computer Science, Artificial Intelligence
Xindong Peng et al.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2018)
Review
Computer Science, Information Systems
Weizhi Meng et al.
Article
Telecommunications
Sparsh Sharma et al.
VEHICULAR COMMUNICATIONS
(2018)
Article
Computer Science, Artificial Intelligence
Ronald R. Yager
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2017)
