Výsledky vyhledávání - "M. A. Ajay Kumara"

Experimental analysis of Android malware detection based on combinations of permissions and API-calls

Autor: C. D. Jaidhar, M. A. Ajay Kumara, Abhishek Kumar Singh

Publikováno v: Journal of Computer Virology and Hacking Techniques. 15:209-218

Android-based smartphones are gaining popularity, due to its cost efficiency and various applications. These smartphones provide the full experience of a computing device to its user, and usually ends up being used as a personal computer. Since the A

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b22821133950e2e44012b5b476d95490
https://doi.org/10.1007/s11416-019-00332-z

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Automated multi-level malware detection system based on reconstructed semantic view of executables using machine learning techniques at VMM

Autor: M. A. Ajay Kumara, C. D. Jaidhar

Publikováno v: Future Generation Computer Systems. 79:431-446

In order to fulfill the requirements like stringent timing restraints and demand on resources, Cyber–Physical System (CPS) must deploy on the virtualized environment such as cloud computing. To protect Virtual Machines (VMs) in which CPSs are funct

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::688dce57b5c119c1b5882e1a4da18930
https://doi.org/10.1016/j.future.2017.06.002

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Leveraging virtual machine introspection with memory forensics to detect and characterize unknown malware using machine learning techniques at hypervisor

Autor: C. D. Jaidhar, M. A. Ajay Kumara

Publikováno v: Digital Investigation. 23:99-123

The Virtual Machine Introspection (VMI) has emerged as a fine-grained, out-of-VM security solution that detects malware by introspecting and reconstructing the volatile memory state of the live guest Operating System (OS). Specifically, it functions

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5b1ef0b8aa89849aca072cc323252fec
https://doi.org/10.1016/j.diin.2017.10.004

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API Call Based Malware Detection Approach Using Recurrent Neural Network—LSTM

Autor: J. Mathew, M. A. Ajay Kumara

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783030166564
ISDA (1)

Malware variants keep increasing every year as most malware developers tweak existing easily available malware codes to create their custom versions. Though their behaviours are coherent, because of change in signature, static signature-based malware

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c797dc0fbf53c46dc5f6b9e6589c1a2f
https://doi.org/10.1007/978-3-030-16657-1_9

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Information gain score computation for N-grams using multiprocessing model

Autor: S. L. Shiva Darshan, M. A. Ajay Kumara, C. D. Jaidhar

Publikováno v: 2017 ISEA Asia Security and Privacy (ISEASP).

Currently, the Internet faces serious threat from malwares, and its propagation may cause great havoc on computers and network security solutions. Several existing anti-malware defensive solutions detect known malware accurately. However, they fail t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ed9f52faef0e22624f28c08cf432315e
https://doi.org/10.1109/iseasp.2017.7976984

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Windows malware detection based on cuckoo sandbox generated report using machine learning algorithm

Autor: M. A. Ajay Kumara, C. D. Jaidhar, S. L. Shiva Darshan

Publikováno v: ICIIS

Malicious software or malware has grown rapidly and many anti-malware defensive solutions have failed to detect the unknown malware since most of them rely on signature-based technique. This technique can detect a malware based on a pre-defined signa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dc274547b2a50cbda9bae35453d62f68
https://doi.org/10.1109/iciinfs.2016.8262998

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VMI Based Automated Real-Time Malware Detector for Virtualized Cloud Environment

Autor: M. A. Ajay Kumara, C. D. Jaidhar

Publikováno v: Security, Privacy, and Applied Cryptography Engineering ISBN: 9783319494449
SPACE

The Virtual Machine Introspection (VMI) has evolved as a promising future security solution to performs an indirect investigation of the untrustworthy Guest Virtual Machine (GVM) in real-time by operating at the hypervisor in a virtualized cloud envi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6ea19d4b8a090e94d24a3b5d10bdc6fc
https://doi.org/10.1007/978-3-319-49445-6_16

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Execution Time Measurement of Virtual Machine Volatile Artifacts Analyzers

Autor: C. D. Jaidhar, M. A. Ajay Kumara

Publikováno v: ICPADS

Due to a rapid revaluation in a virtualization environment, Virtual Machines (VMs) are target point for an attacker to gain privileged access of the virtual infrastructure. The Advanced Persistent Threats (APTs) such as malware, rootkit, spyware, etc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f1890d3e265dac6fc712072e83ca7d72
https://doi.org/10.1109/icpads.2015.47

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