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Field: Advanced Malware Detection Techniques

Modeling Hybrid Feature-Based Phishing Websites Detection Using Machine Learning Techniques

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Sumitra Das Guptta, Khandaker Tayef Shahriar, Hamed Alqahtani, Dheyaaldin Alsalman et al.

Journal: Annals of Data Science
Year: 2022
Citations: 107

In this paper, we mainly present a machine learning based approach to detect real-time phishing websites by taking into account URL and hyperlink based hybrid features to achieve high accuracy without relying on any third-party systems. In phishing, the attackers typically try to deceive internet us...

Physical SciencesComputer ScienceInformation SystemsOpen Access
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A long short-term memory based approach for detecting cyber attacks in IoT using CIC-IoT2023 dataset

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Akinul Islam Jony, Arjun Kumar Bose Arnob

Journal: Journal of Edge ComputingYear: 2024Citations: 103

The growth of Internet of Things (IoT) gadgets has ushered in a new era of connectedness and convenience, but it has also sparked worries about security flaws. Long Short-Term Memory (LSTM) networks are used in this research's use of intrusion detection as a novel strategy to strengthen IoT security...

Physical SciencesComputer ScienceComputer Networks and CommunicationsOpen Access
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MAN-IN-THE-MIDDLE-ATTACK: UNDERSTANDING IN SIMPLE WORDS

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Avijit Mallik

Journal: Cyberspace Jurnal Pendidikan Teknologi InformasiYear: 2019Citations: 98

These days cyber-attack is a serious criminal offense and it is a hot debated issue moreover. A man-in-the-middle-attack is a kind of cyberattack where an unapproved outsider enters into an online correspondence between two users, remains escaped the two parties. The malware that is in the middle-at...

Physical SciencesComputer ScienceSignal ProcessingOpen Access
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A robust technique of fake news detection using Ensemble Voting Classifier and comparison with other classifiers

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Atik Mahabub

Journal: SN Applied SciencesYear: 2020Citations: 95
Social SciencesSociology and Political ScienceMisinformation and Its ImpactsOpen Access
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SafetyMed: A Novel IoMT Intrusion Detection System Using CNN-LSTM Hybridization

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Nuruzzaman Faruqui, Mohammad Abu Yousuf, Md Whaiduzzaman, AKM Azad et al.

Journal: ElectronicsYear: 2023Citations: 93

The Internet of Medical Things (IoMT) has become an attractive playground to cybercriminals because of its market worth and rapid growth. These devices have limited computational capabilities, which ensure minimum power absorption. Moreover, the manufacturers use simplified architecture to offer a c...

Physical SciencesComputer ScienceSignal ProcessingOpen Access
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Cyberbullying Detection: An Ensemble Based Machine Learning Approach

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Kazi Saeed Alam, Shovan Bhowmik, Priyo Ranjan Kundu Prosun

Journal: 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV)Year: 2021Citations: 93

Research on cyberbullying detection is gaining increasing attention in recent years as both individual victims and societies are greatly affected by it. Moreover, ease of access to social media platforms such as Facebook, Instagram, Twitter, etc. has led to an exponential increase in the mistreatmen...

Physical SciencesComputer ScienceArtificial Intelligence
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Man-in-the-middle-attack: Understanding in simple words

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Avijit Mallik, Abid Ahsan, Mhia Md. Zaglul Shahadat, Jia-Chi Tsou

Journal: International Journal of Data and Network ScienceYear: 2019Citations: 93

These days cyberattack is a serious criminal offense and it is a hotly debated issue moreover. A man-in-the-middle-attack is a kind of cyberattack where an unapproved outsider enters into an online correspondence between two users, remains escaped the two parties. The malware that is in the middle-a...

Physical SciencesComputer ScienceSignal ProcessingOpen Access
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Phishing Attacks Detection using Deep Learning Approach

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Ishita Saha, Dhiman Sarma, Rana Joyti Chakma, Mohammad Nazmul Alam et al.

Journal: 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT)Year: 2020Citations: 89

In the COVID-19 pandemic, people are enforced to adopt ‘work from home’ policy. The Internet has become an effective channel for social interactions nowadays. Peoples' immense dependence on digital platform opens doors for fraud. Phishing is a type of cybercrime to steal users' credentials from onli...

Physical SciencesComputer ScienceInformation Systems
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A Review on Deep-Learning-Based Cyberbullying Detection

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Md. Tarek Hasan, Md. Al Emran Hossain, Md. Saddam Hossain Mukta, Arifa Akter et al.

Journal: Future InternetYear: 2023Citations: 86

Bullying is described as an undesirable behavior by others that harms an individual physically, mentally, or socially. Cyberbullying is a virtual form (e.g., textual or image) of bullying or harassment, also known as online bullying. Cyberbullying detection is a pressing need in today’s world, as th...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Machine and Deep Learning for IoT Security and Privacy: Applications, Challenges, and Future Directions

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Subrato Bharati, Prajoy Podder

Journal: Security and Communication NetworksYear: 2022Citations: 82

The integration of the Internet of Things (IoT) connects a number of intelligent devices with minimum human interference that can interact with one another. IoT is rapidly emerging in the areas of computer science. However, new security problems are posed by the cross-cutting design of the multidisc...

Physical SciencesComputer ScienceComputer Networks and CommunicationsOpen Access
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XGB-RF: A Hybrid Machine Learning Approach for IoT Intrusion Detection

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Jabed Al Faysal, Sk Tahmid Mostafa, Jannatul Sultana Tamanna, Khondoker Mirazul Mumenin et al.

Journal: TelecomYear: 2022Citations: 81

In the past few years, Internet of Things (IoT) devices have evolved faster and the use of these devices is exceedingly increasing to make our daily activities easier than ever. However, numerous security flaws persist on IoT devices due to the fact that the majority of them lack the memory and comp...

Physical SciencesComputer ScienceComputer Networks and CommunicationsOpen Access
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Botnet Attack Detection in IoT Using Machine Learning

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Khalid Alissa, Tahir Alyas, Kashif Zafar, Qaiser Abbas et al.

Journal: Computational Intelligence and NeuroscienceYear: 2022Citations: 80

There are an increasing number of Internet of Things (IoT) devices connected to the network these days, and due to the advancement in technology, the security threads and cyberattacks, such as botnets, are emerging and evolving rapidly with high-risk attacks. These attacks disrupt IoT transition by ...

Physical SciencesComputer ScienceComputer Networks and CommunicationsOpen Access
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Combating Misinformation in Bangladesh

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Md. Mahfuzul Haque, Mohammad Yousuf, Ahmed Shatil Alam, Pratyasha Saha et al.

Journal: Proceedings of the ACM on Human-Computer InteractionYear: 2020Citations: 73

There has been a growing interest within CSCW community in understanding the characteristics of misinformation propagated through computational media, and the devising techniques to address the associated challenges. However, most work in this area has been concentrated on the cases in the western w...

Physical SciencesComputer ScienceInformation Systems
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A novel hybrid feature selection and ensemble-based machine learning approach for botnet detection

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Md. Alamgir Hossain, Md. Saiful Islam

Journal: Scientific ReportsYear: 2023Citations: 72

In the age of sophisticated cyber threats, botnet detection remains a crucial yet complex security challenge. Existing detection systems are continually outmaneuvered by the relentless advancement of botnet strategies, necessitating a more dynamic and proactive approach. Our research introduces a gr...

Physical SciencesComputer ScienceComputer Networks and CommunicationsOpen Access
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Android malware classification using optimum feature selection and ensemble machine learning

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Rejwana Islam, Moinul Islam Sayed, Sajal Saha, Mohammad Jamal Hossain et al.

Journal: Internet of Things and Cyber-Physical SystemsYear: 2023Citations: 71

The majority of smartphones on the market run on the Android operating system. Security has been a core concern with this platform since it allows users to install apps from unknown sources. With thousands of apps being produced and launched daily, malware detection using Machine Learning (ML) has a...

Physical SciencesComputer ScienceSignal ProcessingOpen Access
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