"Cyber Warrior": information superiority through advanced multi-sensory command and control technologies

Kuperman, Gilbert G.; Whitaker, Randall; Brown, Scott M.

doi:10.1109/naecon.2000.894920

Cited by 5 publications

(4 citation statements)

References 8 publications

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“…Authentication and key agreement : The role of fog nodes is data gathering and aggregation, in which acquiring authentication with various levels of the gateways creates security issues. Hence, an end‐to‐end authentication approach and lightweight authentication techniques are considered significant criteria for acquiring secure information sharing in fog computing 40–49 …”

Section: Challenges Identifiedmentioning

confidence: 99%

“…The present-day security analysis is devised mostly based on the deep learning mechanism as mentioned above, but the traditional application domains utilize the instruction-based intrusion detection mechanism, 39 TCPDump-based mechanism, 40 and applied cognitive task analysis. 41 The traditional intrusion detection methods did not utilize any machine learning mechanisms; instead, some instructions and conditions were utilized to detect the intrusion in the network.…”

Section: Fog-assisted Application Domainsmentioning

confidence: 99%

“…Hence, an end-to-end authentication approach and lightweight authentication techniques are considered significant criteria for acquiring secure information sharing in fog computing. [40][41][42][43][44][45][46][47][48][49] Intrusion detection systems: Various attacks in the fog layer are man-in-the-middle attacks, insider attacks, dos attacks, scanning attacks and so on, in which secure information sharing by mitigating the attack is a challenging task. However, security in all the three-tier architecture is essential for safer information sharing.…”

Section: Challenges Identifiedmentioning

confidence: 99%

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Security analysis of fog computing environment for ensuring the security and privacy of information

Gola,

Arya,

Khan

et al. 2023

Trans Emerging Tel Tech

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In fog computing, the management, measurement, configuration, control, communication, and storage tasks are carried out collaboratively by one or more near‐user or end users. Fog computing is widely utilized in major application domains like centralized fog utilized in a shopping complex (UXFog), agriculture domain (FoAgro), health‐care domain (MediFog), vehicle parking system, and energy Lattices. The execution of fog computing at the system's edge provides the elevated quality of service (QoS), promotes area mindfulness, and minimal dormancy for the continuous and online streaming application areas. Fog networking is extremely concerned about wireless system security due to the prevalence of wireless communication in fog computing. Sniffer attacks, Jamming assaults, and several other intrusions are considered examples of security issues. While considering network storage issues, factors like interaction management, dynamic workload, and low dormancy are the most challenging aspects of designing the network model. Thus, privacy and security issues are crucial while designing the network model, accomplished through intrusion detection, access control and authentication methods. Therefore, the security analysis of fog computing based on authentication, access control and intrusion detection mechanisms are analyzed in this research to design a novel technique with enhanced security and privacy features for sharing and accessing information.

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Section: Challenges Identifiedmentioning

confidence: 99%

Section: Fog-assisted Application Domainsmentioning

confidence: 99%

Section: Challenges Identifiedmentioning

confidence: 99%

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Security analysis of fog computing environment for ensuring the security and privacy of information

Gola,

Arya,

Khan

et al. 2023

Trans Emerging Tel Tech

View full text Add to dashboard Cite

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“…[2] To develop all these objectives, we will start from two hypotheses: availability of a combat network capable of delivering digital data with the appropriated bandwidth and automated information acquisition for COP generation. This process must be performed transparently to the troop units, without their intervention in data gathering and elaboration and without interfering in their tasks.…”

Section: Introductionmentioning

confidence: 99%

SIMACOP: Small Units Management C4ISR System

Esteve

Pérez-Llopis

Hernandez-Blanco

et al. 2007

Multimedia and Expo, 2007 IEEE International Conference On

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Current military command and control information systems aim is to elaborate the Common Operational Picture (COP) focused on the higher hierarchical levels, from battalion level and upwards. However, in majority of present conflicts, including peacekeeping missions, many operations are carried by small units like platoons and downwards. It would be extremely useful a command and control tool which: (i) allows obtaining the COP at platoon and squad level; (ii) facilitates command and control decisions from different tactical locations; (iii) allows shared awareness based self-synchronization among platoons and (iv) acquires individualized data from troop units, particularly video flows and geolocation. In this paper, a practical research in this field is described based on the development of a Command, Control, Computers, Communications, Intelligence, Surveillance and Reconaissance (C4ISR) multimedia system designed to proof the most advanced concepts in current C2IS (Command and Control Information Systems) development.

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