Browsing NTNU Open by Author "Shalaginov, Andrii"
Now showing items 1-20 of 31
-
Advancing Neuro-Fuzzy Algorithm for Automated Classification in Largescale Forensic and Cybercrime Investigations: Adaptive Machine Learning for Big Data Forensic
Shalaginov, Andrii (Doctoral theses at NTNU;2018:57, Doctoral thesis, 2018)Abstract Cyber Crime Investigators are challenged by the huge amount and complexity of digital data seized in criminal cases. Human experts are present in the Court of Law and make decisions with respect to the digital ... -
Analysis of attacks on machine learning-based methods for malware detection
Fredrik Morten Sætran (Master thesis, 2019)The more sophisticated tools and methods used by attackers has forced the computer security industry to look for improved security controls. Malicious software is often used as a tool for frequent and costly computer ... -
Automatic rule-extraction for malware detection on mobile devices
Shalaginov, Andrii (Master thesis, 2013)Malware causes damage not only to personal computers, yet also to contemporary mobile devices. With growing performance and storage capabilities users of mobile devices tend to store more sensitive information than before. ... -
BCFL logging: An approach to acquire and preserve admissible digital forensics evidence in cloud ecosystem
Awuson-David, Kenny; Al-Hadhrami, Tawfik; Alazab, Mamoun; Shah, Nazaraf; Shalaginov, Andrii (Journal article; Peer reviewed, 2021)Log files are the primary source of recording users, applications and protocols, activities in the cloud ecosystem. Cloud forensic investigators can use log evidence to ascertain when, why and how a cyber adversary or an ... -
Comparing Open Source Search Engine Functionality, Efficiency and Effectiveness with Respect to Digital Forensic Search
Hansen, Joachim; Porter, Kyle; Shalaginov, Andrii; Franke, Katrin (Journal article; Peer reviewed, 2018)Keyword search is one of the key components of the Cyber Crime Investigations. It has a direct influence on the precision and relevance of the data found on seized data carriers. However, many of the digital forensics tools ... -
Cyber security risk assessment of a DDoS attack
Wangen, Gaute; Shalaginov, Andrii; Hallstensen, Christoffer V (Journal article; Peer reviewed, 2016)This paper proposes a risk assessment process based on distinct classes and estimators, which we apply to a case study of a common communications security risk; a distributed denial of service attack (DDoS) attack. The ... -
Data-driven Approach to Information Sharing using Data Fusion and Machine Learning
Andersen, Lars Christian (Master thesis, 2016-08-31)The number of security incidents worldwide is increasing, and the capabilities to detect and react is of uttermost importance. Intrusion Detection Systems (IDSs) are employed in various locations in networks to identify ... -
Decentralized Self-Enforcing Trust Management System for Social Internet of Things
Azad, Muhammad Ajmal; Bag, Samiran; Feng, Hao; Shalaginov, Andrii (Peer reviewed; Journal article, 2020)The Internet of Things (IoT) is the network of connected computing devices that have the ability to transfer valued data between each other via the Internet without requiring human intervention. In such a connected ... -
Deep Graph neural network-based spammer detection under the perspective of heterogeneous cyberspace
Guo, Zhiwei; Tang, Lianggui; Guo, Tan; Yu, Keping; Alazab, Mamoun; Shalaginov, Andrii (Peer reviewed; Journal article, 2021)Due to the severe threat to cyberspace security, detection of online spammers has been a universal concern of academia. Nowadays, prevailing literature of this field almost leveraged various relations to enhance feature ... -
Developing a Framework for Cybersecurity Evaluation in the Consumer Internet of Things
Dahl, Kristoffer; Storeng, Jan Olaf; Strøm, Jørgen Oliver; Svidal, Nikolai (Bachelor thesis, 2022)Fagfeltet IoT består av en mengde verktøy, teknologier og metoder som er under utvikling. Gjennom sensorer og bruk av applikasjoner, samler, prosesserer, genererer og forflytter enheten informasjon som kan være sensitiv ... -
Distributed Deep Neural-Network-Based Middleware for Cyber-Attacks Detection in Smart IoT Ecosystem: A Novel Framework and Performance Evaluation Approach
Bhandari, Guru; Lyth, Andreas; Shalaginov, Andrii; Grønli, Tor-Morten (Peer reviewed; Journal article, 2023)Cyberattacks always remain the major threats and challenging issues in the modern digital world. With the increase in the number of internet of things (IoT) devices, security challenges in these devices, such as lack of ... -
Evolutionary optimization of on-line multilayer perceptron for similarity-based access control
Shalaginov, Andrii (Chapter, 2017)Neural Networks have been successfully used in different fields of Information Security such that network intrusion detection and malware analysis because of ability to provide high level of abstraction for complex and ... -
Fallacies when Evaluating Digital Evidence Among Prosecutors in the Norwegian Police Service
Erlandsen, Tom Erik (Master thesis, 2019)Digitale bevis har vært en naturlig del av bevisbildet i retten i flere år, men fortsatt ser det ut til at digitale bevis skaper usikkerhetsmomenter. Rettsvesenets manglende forståelse for digitale bevis kan potensielt ... -
Fuzzy logic model for digital forensics: A trade-off between accuracy, complexity and interpretability
Shalaginov, Andrii (Journal article, 2017)The Cyber Crime Investigation is challenged by large and complex data as a key factor of emerging Information and Communication Technologies. The size, the velocity, the variety and the complexity of the data have become ... -
Hybrid analysis for Android malware family classification in a time-aware setting
Fauskrud, Joakim (Master thesis, 2019)Flere millioner ondsinnede Android applikasjoner (skadevare) detekteres hvert år. Disse applikasjonene skjuler seg i Android-markedsplasser ved utgi seg for å være godsinnede applikasjoner. Når en bruker installerer ... -
Hybrid IoT Cyber Range
Balto, Karl Edvard (Master thesis, 2022)Bruken av IoT enheter har økt kraftig de siste årene, utviklingen av nye enheter går fort, prisene presses og dermed må også kostnadene reduseres. IoT enheter får flere og flere oppgaver der det blir mer kritisk at enhetene ... -
Hybrid IoT Cyber Range
Edvard Balto, Karl; Yamin, Muhammad Mudassar; Shalaginov, Andrii; Katt, Basel (Peer reviewed; Journal article, 2023)The use of IoT devices has increased rapidly in recent times. While the development of new devices is moving quickly, and as prices are being forced down, the costs of developing such devices also needs to be reduced. IoT ... -
Intelligent mobile malware detection using permission requests and API calls
Alazab, Moutaz; Alazab, Mamoun; Shalaginov, Andrii; Mesleh, Abdelwadood; Awajan, Albara (Peer reviewed; Journal article, 2020)Malware is a serious threat that has been used to target mobile devices since its inception. Two types of mobile malware attacks are standalone: fraudulent mobile apps and injected malicious apps. Defending against the ... -
IoT Digital Forensics Readiness in the Edge: A Roadmap for Acquiring Digital Evidences from Intelligent Smart Applications
Shalaginov, Andrii; Iqbal, Asif; Olegård, Johannes (Chapter, 2020)Entering the era of the Internet of Things, the traditional Computer Forensics is no longer as trivial as decades ago with a rather limited pool of possible computer components. It has been demonstrated recently how the ... -
Machine Learning Aided Static Malware Analysis: A Survey and Tutorial
Shalaginov, Andrii; Banin, Sergii; Dehghantanha, Ali; Franke, Katrin (Chapter, 2018)Malware analysis and detection techniques have been evolving during the last decade as a reflection to development of different malware techniques to evade network-based and host-based security protections. The fast growth ...