0000000000190868

AUTHOR

Nirwan Ansari

0000-0001-8541-3565

showing 4 related works from this author

A Hierarchical Detection and Response System to Enhance Security Against Lethal Cyber-Attacks in UAV Networks

2018

International audience; Unmanned aerial vehicles (UAVs) networks have not yet received considerable research attention. Specifically, security issues are a major concern because such networks, which carry vital information, are prone to various attacks. In this paper, we design and implement a novel intrusion detection and response scheme, which operates at the UAV and ground station levels, to detect malicious anomalies that threaten the network. In this scheme, a set of detection and response techniques are proposed to monitor the UAV behaviors and categorize them into the appropriate list (normal, abnormal, suspect, and malicious) according to the detected cyber-attack. We focus on the m…

Ad hoc networksMonitoringAnomaly-based intrusion detection systemWireless ad hoc networkComputer science[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]UAVMobile computing[ INFO.INFO-CR ] Computer Science [cs]/Cryptography and Security [cs.CR]JammingComputerApplications_COMPUTERSINOTHERSYSTEMS02 engineering and technologyIntrusion detection systemAnomaly detection and rules-based intrusion detection techniquesIDSBlack hole (networking)Computer securitycomputer.software_genreMobile communicationUnmanned aerial vehicles[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR][INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]0202 electrical engineering electronic engineering information engineeringFalse positive paradoxOverhead (computing)Intrusion detectionElectrical and Electronic Engineering020206 networking & telecommunicationsComputer Science ApplicationsHuman-Computer InteractionControl and Systems Engineeringintrusion detection system020201 artificial intelligence & image processingcyber-attacksIntrusion prevention systemcomputerSoftware
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A Trusted Hybrid Learning Approach to Secure Edge Computing

2021

Securing edge computing has drawn much attention due to the vital role of edge computing in Fifth Generation (5G) wireless networks. Artificial Intelligence (AI) has been adopted to protect networks against attackers targeting the connected edge devices or the wireless channel. However, the proposed detection mechanisms could generate a high false detection rate, especially against unknown attacks defined as zero-day threats. Thereby, we propose and conceive a new hybrid learning security framework that combines the expertise of security experts and the strength of machine learning to protect the edge computing network from known and unknown attacks, while minimizing the false detection rat…

Intrustion Detection: Computer science [C05] [Engineering computing & technology]Monitoringbusiness.industryComputer scienceFeature extractionHybrid learningServersHybrid learning: Sciences informatiques [C05] [Ingénierie informatique & technologie]Computer Science ApplicationsImage edge detectionHuman-Computer Interaction[SPI]Engineering Sciences [physics]Hardware and ArchitectureServerSecurityEdge ComputingFeature extractionEnginesElectrical and Electronic Engineeringbusiness5GEdge computingComputer network
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Recent advances on security and privacy in intelligent transportation systems (ITSs)

2019

Computer Networks and CommunicationsHardware and ArchitectureComputer scienceComputer securitycomputer.software_genrecomputerIntelligent transportation systemSoftwareAd Hoc Networks
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Intrusion Detection and Ejection Framework Against Lethal Attacks in UAV-Aided Networks: A Bayesian Game-Theoretic Methodology

2017

International audience; Advances in wireless communications and microelectronics have spearheaded the development of unmanned aerial vehicles (UAVs), which can be used to augment a ground network composed of sensors and/or vehicles in order to increase coverage, enhance the end-to-end delay, and improve data processing. While UAV-aided networks can potentially find applications in many areas, a number of issues, particularly security, have not been readily addressed. The intrusion detection system is the most commonly used technique to detect attackers. In this paper, we focus on addressing two main issues within the context of intrusion detection and attacker ejection in UAV-aided networks…

EngineeringAnomaly-based intrusion detection systemintrusion detection system (IDS)Context (language use)02 engineering and technologyIntrusion detection systemComputer securitycomputer.software_genreBayesian game[ SPI.GCIV.IT ] Engineering Sciences [physics]/Civil Engineering/Infrastructures de transportUtility[ SPI.NRJ ] Engineering Sciences [physics]/Electric power0202 electrical engineering electronic engineering information engineering[ SPI.GCIV ] Engineering Sciences [physics]/Civil Engineering[ SPI ] Engineering Sciences [physics]Overhead (computing)Network performanceunmanned aerial vehicles (UAVs)Ad HocBayesian gameVehicular ad hoc networkbusiness.industryMechanical EngineeringNode (networking)020206 networking & telecommunicationsComputer Science Applications[ SPI.TRON ] Engineering Sciences [physics]/ElectronicsEfficientAutomotive Engineeringintrusion ejection system (IES)020201 artificial intelligence & image processingVehicular NetworksWireless Sensor NetworksbusinesscomputerComputer network
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