An Ensemble Approach for Cyber Attack Detection System: A Generic Framework

Singh, Shailendra; Silakari, Sanjay

doi:10.2991/ijndc.2014.2.2.2

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…It's crucial to remember that this is not a comprehensive list and that the threat environment is always changing. To protect themselves from these constantly evolving cyber risks, businesses and individuals must exercise vigilance, keep their systems and software up to date, and put strong security measures in place [5].…”

Section: A Cyber Attacks and Techniquesmentioning

confidence: 99%

Exploring Current Trends and Challenges in Cybersecurity: A Comprehensive Survey

Yamini,

Radhakrishnan,

Nalini

et al. 2023

IJRITCC

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Cyber security is the process of preventing unauthorized access, theft, damage, and interruption to computers, servers, networks, and data. It entails putting policies into place to guarantee the availability, confidentiality, and integrity of information and information systems. Cyber security seeks to protect against a variety of dangers, including as hacking, data breaches, malware infections, and other nefarious actions. Cyber security has grown to be a major worry as a result of the quick development of digital technology and the growing interconnection of our contemporary society. In order to gain insight into the constantly changing world of digital threats and the countermeasures put in place to address them, this survey seeks to study current trends and issues in the area of cyber security. The study includes responses from end users, business executives, IT administrators, and experts across a wide variety of businesses and sectors. The survey gives insight on important problems such the sorts of cyber threats encountered, the efficacy of current security solutions, future technology influencing cyber security, and the human elements leading to vulnerabilities via a thorough analysis of the replies. The most important conclusions include an evaluation of the most common cyber dangers, such as malware, phishing scams, ransom ware, and data breaches, as well as an investigation of the methods and tools used to counter these threats. The survey explores the significance of staff education and awareness in bolstering cyber security defenses and pinpoints opportunities for development in this area. The survey also sheds insight on how cutting-edge technologies like cloud computing, artificial intelligence, and the Internet of Things (IoT) are affecting cyber security practices. It analyses the advantages and disadvantages of using these technologies while taking into account issues like data privacy, infrastructure security, and the need for specialized skills. The survey also looks at the compliance environment, assessing how industry norms and regulatory frameworks affect cyber security procedures. The survey studies the obstacles organizations encounter in attaining compliance and assesses the degree of knowledge and commitment to these requirements. The results of this cyber security survey help to better understand the current status of cyber security and provide organizations and individual’s useful information for creating effective policies to protect digital assets. This study seeks to promote a proactive approach to cyber security, allowing stakeholders to stay ahead of threats and build a safe digital environment by identifying relevant trends and concerns.

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Section: A Cyber Attacks and Techniquesmentioning

confidence: 99%

Exploring Current Trends and Challenges in Cybersecurity: A Comprehensive Survey

Yamini,

Radhakrishnan,

Nalini

et al. 2023

IJRITCC

View full text Add to dashboard Cite

show abstract

“…The gain ratio is then used in calculating the attribute farthest from a gain ratio of zero (and thus most useful for classification), and is implicitly used as a similarity measure. Wang et al [51] and Singh and Silakari [50] use raw KLD to determine the features selected: features with high values of KLD are retained. In all three examples KLD is used as a basic measure of similarity with a threshold set by the research used to determine the gain.…”

Section: A Measure Definedmentioning

confidence: 99%

“…Devarakonda et al [33] use the k-nearest neighbor method of clustering as one of many in a voting ensemble. Singh and Silakari [50] also make use of k-nearest neighbor as the classification method. The use of distance is in the context of the k-nearest neighbor classifier, and authors specify the use of Euclidean distance, but note that other distances (such as the Manhattan distance) could be used instead.…”

Section: A Measure Definedmentioning

confidence: 99%

A Survey of Distance and Similarity Measures Used Within Network Intrusion Anomaly Detection

Weller-Fahy

Borghetti

Sodemann

2015

IEEE Commun. Surv. Tutorials

191

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Anomaly detection (AD) use within the network intrusion detection field of research, or network intrusion AD (NIAD), is dependent on the proper use of similarity and distance measures, but the measures used are often not documented in published research. As a result, while the body of NIAD research has grown extensively, knowledge of the utility of similarity and distance measures within the field has not grown correspondingly. NIAD research covers a myriad of domains and employs a diverse array of techniques from simple k-means clustering through advanced multiagent distributed AD systems. This review presents an overview of the use of similarity and distance measures within NIAD research. The analysis provides a theoretical background in distance measures and a discussion of various types of distance measures and their uses. Exemplary uses of distance measures in published research are presented, as is the overall state of the distance measure rigor in the field. Finally, areas that require further focus on improving the distance measure rigor in the NIAD field are presented.

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A Multi-Stage Machine Learning Model for Security Analysis in Industrial Control System

Semwal

2021

AI-Enabled Threat Detection and Security Analysis for Industrial IoT

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An Ensemble Approach for Cyber Attack Detection System: A Generic Framework

Cited by 4 publications

References 8 publications

Exploring Current Trends and Challenges in Cybersecurity: A Comprehensive Survey

Exploring Current Trends and Challenges in Cybersecurity: A Comprehensive Survey

A Survey of Distance and Similarity Measures Used Within Network Intrusion Anomaly Detection

A Multi-Stage Machine Learning Model for Security Analysis in Industrial Control System

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