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All Journal International Journal of Nusantara Islam Maspari Journal International Journal of Humanity Studies (IJHS) JOIV : International Journal on Informatics Visualization Jurnal Ilmiah Universitas Batanghari Jambi Fokus Ekonomi Pendas : Jurnah Ilmiah Pendidikan Dasar J-MAS (Jurnal Manajemen dan Sains) MAGNA MEDICA: Berkala Ilmiah Kedokteran dan Kesehatan YUME : Journal of Management IJoASER (International Journal on Advanced Science, Education, and Religion) Psychology, Evaluation, and Technology in Educational Research Jurnal Perspektif Amnesty: Jurnal Riset Perpajakan Ilomata International Journal of Management JATI (Jurnal Mahasiswa Teknik Informatika) GAUSS: Jurnal Pendidikan Matematika JURNAL ILMIAH MAKSITEK Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Ilmu Manajemen Profitability Jurnal Digital Teknologi Informasi Aliansi : Jurnal Manajemen dan Bisnis Ideguru: Jurnal Karya Ilmiah Guru Ilomata International Journal of Management Window of Community Dedication Journal Jurnal Pengembangan Sistem Informasi dan Informatika Inspirasi Ekonomi : Jurnal Ekonomi Manajemen MAHESA : Malahayati Health Student Journal Jurnal Arastirma Tebuireng: Journal of Islamic Studies and Society Jurnal Al-Qiyam Jurnal Tana Mana Saraq Opat : Jurnal Administrasi Publik Lensa Ilmiah: Jurnal Manajemen dan Sumberdaya ABDINE Jurnal Pengabdian Masyarakat Journal MISSY (Management and Business Strategy) Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Innovative: Journal Of Social Science Research Ranah Research : Journal of Multidisciplinary Research and Development LANTERA: JURNAL KOMUNIKASI DAN PENYIARAN ISLAM Economos : Jurnal Ekonomi dan Bisnis Journal Health Applied Science And Technology (JHAST) Jurnal Terapis Gigi dan Mulut Prosiding Temu Ilmiah Nasional Guru Serat Acitya International Journal of Nusantara Islam UNIVERSUM : Jurnal KeIslaman dan Kebudayaan Dedikasi : Jurnal Pengabdian Lentera Jurnal Tadris Matematika (JTMT) Commodities, Journal of Economic and Business AN-NIDA: Jurnal Pendidikan Islam Lantera: Jurnal Komunikasi dan Penyiaran Islam Mandalika Journal of Community Services Edusight Jurnal Pengabdian Masyarakat (EduJPM) Jurnal Teknologi Informasi untuk Masyarakat (Jurnal Teknokrat) Indonesian Journal of Humanities and Social Sciences Jurnal Gladiator JILMATEKS Jurnal Ilmiah Mahasiswa Teknik Sipil Jurnal Ilmu Pendidikan THORIQOTUNA: Jurnal Pendidikan Islam Balance: Jurnal Ekonomi Master of Civic Innovation and Education Technology.
Ahmad Firdaus, Ahmad
Program Studi Ilmu Kelautan FMIPA, Universitas Sriwijaya
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

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Journal : JOIV : International Journal on Informatics Visualization

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The Rise of Deep Learning in Cyber Security: Bibliometric Analysis of Deep Learning and Malware Kamarudin, Nur Khairani; Firdaus, Ahmad; Osman, Mohd Zamri; Alanda, Alde; Erianda, Aldo; Kasim, Shahreen; Ab Razak, Mohd Faizal
JOIV : International Journal on Informatics Visualization Vol 8, No 3 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3.1535

Abstract

Deep learning is a machine learning technology that allows computational models to learn via experience, mimicking human cognitive processes. This method is critical in the development of identifying certain objects, and provides the computational intelligence required to identify multiple objects and distinguish it between object A or Object B. On the other hand, malware is defined as malicious software that seeks to harm or disrupt computers and systems. Its main categories include viruses, worms, Trojan horses, spyware, adware, and ransomware. Hence, many deep learning researchers apply deep learning in their malware studies. However, few articles still investigate deep learning and malware in a bibliometric approach (productivity, research area, institutions, authors, impact journals, and keyword analysis). Hence, this paper reports bibliometric analysis used to discover current and future trends and gain new insights into the relationship between deep learning and malware. This paper’s discoveries include: Deployment of deep learning to detect domain generation algorithm (DGA) attacks; Deployment of deep learning to detect malware in Internet of Things (IoT); The rise of adversarial learning and adversarial attack using deep learning; The emergence of Android malware in deep learning; The deployment of transfer learning in malware research; and active authors on deep learning and malware research, including Soman KP, Vinayakumar R, and Zhang Y.
Features, Analysis Techniques, and Detection Methods of Cryptojacking Malware: A Survey Kadhum, Laith M; Firdaus, Ahmad; Hisham, Syifak Izhar; Mushtaq, Waheed; Ab Razak, Mohd Faizal
JOIV : International Journal on Informatics Visualization Vol 8, No 2 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.2.2725

Abstract

Various types of malwares are capable of bringing harm to users. The list of types are root exploits, botnets, trojans, spyware, worms, viruses, ransomware, and cryptojacking. Cryptojacking is a significant proportion of cyberattacks in which exploiters mine cryptocurrencies using the victim’s devices, for instance, smartphones, tablets, servers, or computers. It is also defined as the illegal utilization of victim resources (CPU, RAM, and GPU) to mine cryptocurrencies without detection. The purpose of cryptojacking, along with numerous other forms of cybercrime, is monetary gain. Furthermore, it also intended to stay concealed from the victim's viewpoint. Following this crime, to the author's knowledge, a paper focusing solely on a review of cryptojacking research is still unavailable. This paper presents cryptojacking detection information to address this deficiency, including methods, detection, analysis techniques, and features. As cryptojacking malware is a type that executes its activities using the network, most of the analysis and features fall into dynamic activities. However, static analysis is also included in the security researcher’s option. The codes that are involved are opcode and JavaScript. This demonstrates that these two languages are vital programming languages to focus on to detect cryptojacking. Moreover, the researchers also begin to adopt deep learning in their experiments to detect cryptojacking malware. This paper also examines potential future developments in the detection of cryptojacking.
Co-Authors Ab Razak, Mohd Faizal Abdul Wahab Abdulah Adi Siswanto Afrianto, Dadang Aida, Aida Alde Alanda, Alde Aldino Aldo Erianda, Aldo Amalia, Firqo amperawati, metty Amrullah, Amar Amrulloh Andi Alifuddin Antoni, Darius Arifin, Winarno Aris Sudianto Asriandi, Asriandi Ayuningrum, Ayuningrum Azhary, Muhammad Royyan Faqih Azizi, Muhammad Azmidar Azmidar, Azmidar Bahtiar, Hariman bin Asis, Joharis Budiraharjo, Joko Buhaerah Buhaerah, Buhaerah Busrah, Zulfiqar Cindy Desiana Darmawan, Dhany Isnaeni Dedy Syamsuar Deni Sunaryo, Deni Dwiputri, Adelita Vega Eko Budi Satoto Endang Fatmawati Era Catur Prasetya Fauzan, Muhammad Oceano Fauzi, Fahrian Al Febrianty, Istiqomah Fendri Martadinata Gecong, Alimin Gloria, Putri Hairul Anwar, Hairul Hartoni ., Hartoni Hasbillah, Ahmad Ubaydi Hatidja, St Hilma, Hidayatul Maslakha Hisham, Syifak Izhar Idris, Ahmad Ila Rosmilawati Indarwati Indarwati Indri Astuti Irkadiratna, Aderisti Irwan Abdullah Jamaluddin Jamaluddin Jati, prihatina Jazuli, Ahmad Syukron Jusdienar, Akka Latifah Kadhum, Laith M Kahar Kamarudin, Nur Khairani Kurnia, Raden Hebat Lailiyah, Sufil Lien Maulina Lilik Andaryuni Lina - Mariana, Lina - Lukman Hakim M.Pd, Drs. Hermanzoni, M.Pd, Prof.Dr. Alnedral, Mabruroh, Mabruroh Maryono, Iyon Melki Melki Milisani, Meirna Muhammad Agus Muljanto Muhammad Asir Muhammad Muslih munifa, Munifa Mushtaq, Waheed Mustopa, Andi Narulitia, Adinda Nisa, Sifa Khoridatun Nugraha, Adi Satria Nur Sandi Marsuni Nur, Amri Muliawan Nurhayati, Is Nurlailla, Yulia Nursalam, M. Vikram Nurwijayanti Odien Rosidin Oktayudra, Farhan Osman, Mohd Zamri Paray Theo Lonando Pratikno, Yuni Rachman, Siswati Raden Mohamad Herdian Bhakti Ramadani, Fahri Ratnawita Ratnawita Ratriyana, Dani Okta Resti Resti Ridwan Hakim Riris Aryawati Robiatul Adawiyah, Lelly Rosid Bahar S.Pd. M.Pd, Sari Mariati, Sadali, Muhamad Saeful Anwar, Saeful Sambo, Andarias Secka, Absa Setyobudi Setyobudi Shahreen Kasim, Shahreen Shofia Zahra Agustina Siti Choiriyah Siti Utami Dewi Ningrum Slamet, Rokhmad Solehudin, Solehudin Sri Nuryati Supiana, Supiana Suprapto Suprapto Uco, Isra Walid, Miftahul Wicaksana, Gilang Adi Yasniwati, Yasniwati Yoga Adiyanto, Yoga Yulia Yulia Yuliani, Nur Fadny Yulianti, Welly Yuliati Zakiah, Qiqi Yuyu Yuhana Zefrizal Nurdin, Zefrizal Zendrato, Yuniria