Feature Extraction and Selection Method of Cyber-Attack and Threat Profiling in Cybersecurity Audit

Zakaria, Khairun Nisyak; Zainal, Anazida; Othman, Siti Hajar; Kassim, Mohamad Nizam

doi:10.1109/icocsec47621.2019.8970786

Cited by 12 publications

(7 citation statements)

References 3 publications

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“…RAKKSSA framework provides safety guidelines to reduce the risk of Cyber-Attacks and protect the organization's information. Cyber threat intelligence can provide a timely reply to attacks [10]. To secure the data processing for IoT middleware systems Ayoade et al [27] presented an effective methodology to tackle the process of attacker authentication.…”

Section: Social Network Attacksmentioning

confidence: 99%

“…Despite the continuing effort of organizations to avoid Cyber-Security breaches and Cyber-Attacks, it is unavoidable because of successful attacks and their huge loss, and the effectiveness of Cyber-Security of networks becomes an essential issue. Ernst & Young reported that "Mobilization, virtualization, and cloud technology have created new technologies and opportunities in the business, making it more vulnerable to Cyber-Attacks" [10].…”

Section: Introductionmentioning

confidence: 99%

“…Recently, after the rise of the Internet of Things, the Cybercrime problem has increased greatly, which is considered a big challenge in the information technology field [9,11,12]. Cyber-Security protects organization assets against cybercriminals attack which may occur because of human error, planned attack, or the computer system limitation [10]. There is essential to identify malicious users when socializing over OSNs, as they may utilize camouflage and phishing techniques that cheat users into revealing their sensitive information [13].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Machine Learning Techniques for Detecting Phishing URL Attacks

Mosa¹,

Shams²,

Abohany³

et al. 2023

Computers, Materials &Amp; Continua

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Cyber Attacks are critical and destructive to all industry sectors. They affect social engineering by allowing unapproved access to a Personal Computer (PC) that breaks the corrupted system and threatens humans. The defense of security requires understanding the nature of Cyber Attacks, so prevention becomes easy and accurate by acquiring sufficient knowledge about various features of Cyber Attacks. Cyber-Security proposes appropriate actions that can handle and block attacks. A phishing attack is one of the cybercrimes in which users follow a link to illegal websites that will persuade them to divulge their private information. One of the online security challenges is the enormous number of daily transactions done via phishing sites. As Cyber-Security have a priority for all organizations, Cyber-Security risks are considered part of an organization's risk management process. This paper presents a survey of different modern machine-learning approaches that handle phishing problems and detect with high-quality accuracy different phishing attacks. A dataset consisting of more than 11000 websites from the Kaggle dataset was utilized and studying the effect of 30 website features and the resulting class label indicating whether or not it is a phishing website (1 or −1). Furthermore, we determined the confusion matrices of Machine Learning models: Neural Networks (NN), Naïve Bayes, and Adaboost, and the results indicated that the accuracies achieved were 90.23%, 92.97%, and 95.43%, respectively.

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Section: Social Network Attacksmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Machine Learning Techniques for Detecting Phishing URL Attacks

Mosa¹,

Shams²,

Abohany³

et al. 2023

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…In the DL model, the progress of a cyber security model is to automatically select features and provide feature learning in network layers [53]. The feature selection of anomaly detection techniques is a critical point for cyber network [54]. It can help to select general features such as unusual behavior of user to detect, predict, and prevent various types of attacks [55].…”

Section: Cyber Attacks Detectionmentioning

confidence: 99%

Cyber security: performance analysis and challenges for cyber attacks detection

Salih

Abdulrazzaq

2023

IJEECS

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Nowadays, with the occurrence of new attacks and raised challenges have been facing the security of computer systems. Cyber security techniques have become essential for information technology services to detect and react against cyber-attacks. The strategy of cyber security enables visibility of various types of attacks and vulnerabilities throughout computer networks, whilst also provides detecting cyber-attacks and effective ways of identifying and preventing them. This study mainly focuses on the performance analysis and challenges faced by cyber security using the latest techniques. It also provides a review of the attack detection process including the robust effectiveness of intelligent techniques. Finally, summarize and discuss some methods to increase attack detection performance utilizing deep learning (DL) architectures.

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“…[26] Development an establishment of ISMS [27] Awareness measures [28], [29], [30], [31], [32], [33] Lack of skilled workers in public sector and effects [34], [35] Physical Security and Security Assessment [36], [37], [38], [39], [40] Legal framework parameters in cybersecurity domain [41], [42] Maturity models [43], [44] Most papers deal with the safeguarding of the technical components or tackle the analysis of cyber-attacks and pos-sible preventive measures. It is striking that a large number of papers put the staff in the focus and examine how their awareness for cybersecurity can be increased.…”

Section: Thematic Areamentioning

confidence: 99%

Information security management in German local government

Moses¹,

Sandkuhl²,

Kemmerich³

2022

Communication Papers of the 17th Conference on Computer Science and Intelligence Systems

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4The growing importance of information security in organizations is undisputed. This is particularly true of local governments, because modern administrative action is no longer conceivable today without electronic communication media and IT procedures. The complexity of information technology, the increasing degree of networking (also with citizens) and the dependence of the administration on ITsupported procedures has led to the fact that the security of information technology and associated processes must be given a higher priority and a corresponding cybersecurity strategy must be substantiated. Existing approaches either fall short or cannot be applied to the context of local government without revision and adaptation. In this article, case studies of implementations of IT security projects in local government are examined. Specific focus is on the differences between information security management system (ISMS) implementations of different hierarchical levels of governmental organizations. The results show current challenges in increasing the resilience of the local government.

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Feature Extraction and Selection Method of Cyber-Attack and Threat Profiling in Cybersecurity Audit

Cited by 12 publications

References 3 publications

Machine Learning Techniques for Detecting Phishing URL Attacks

Machine Learning Techniques for Detecting Phishing URL Attacks

Cyber security: performance analysis and challenges for cyber attacks detection

Information security management in German local government

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