Cyber Security & Digital Forensics Research Topics
A Cyber Security Digital Forensics research topic is now widely utilized to detect malicious or unauthorized attacks. Various technologies and parameters were utilized in this research to get a robust outcome. Below we provide some Cyber Security related concepts, applications, techniques and parameters.
- Define Cyber Security?
At the beginning we first take a look at the definition of Cyber Security, it is the method that safeguards from the criminal or malicious use of electronic data, or the procedures taken to perform this.
- What is Cyber Security?
Next to the definition of Cyber Security we see the detailed explanation of Cyber Security. It is the method that defends complex data and vital systems against digital threats.
- Where Cyber Security used?
After the explanation of Cyber Security, we discuss where to incorporate Cyber Security. It is widely utilized to protect electronic systems, network, computers, servers, data and mobile devices from unauthorized exploit.
- Why Cyber Security technology proposed? , previous technology issues
Cyber Security is utilized to protect or safeguard the data or system from any unwanted attacks. Cloud computing issues, Distributed denial-of-service (DDoS) and Ransomware are some of the previous technology issues. We overcame this previous issue by proposing the attack detection in Cyber Security system by modifying the advanced Cyber Security techniques to improve the protection device and reduce possible difficulties.
- Algorithms / protocols
The Cyber Security IDS is proposed in this work and it overcomes the difficulties in this work, here we offer some methods or techniques to be employed for Cyber Security are Deep Reinforcement Learning, Tabu Search, Routing Information Protocol, Hunger Games Search Optimizations are some of the cyber security intrusion detection methods. Principal component Analysis, Elliptic Curve Cryptography, gray box optimization – Multi-Layer Perceptron, Probabilistic feature representation autoencoders, Stochastic Gradient Descent and Advanced encryption standard are some of the techniques used in Cyber Security attack detection in IoT cloud.
- Comparative study / Analysis
Following the algorithms or protocols to be utilized in our work, we have to compare several techniques to analyze the corresponding outcomes; here we provide some methods to be compared are mentioned below:
Cyber Security – Intrusion Detection System
- For reliable interaction paths, we introduce “Tree-based Spider-Net Multipath”. To improve efficiency and adjust to modify network conditions, multipath routing is utilized. For user registration and credential confirmation AES is used. This robust encryption ensures protection and decreases time difficulties.
- On the basis of user selection based on reliance, energy levels and network conditions the combination of DRL-TS is utilized and to handle lengthy action space in the choice of channel.
- Continuous examination, path selection improving and consistency, we execute Routing Information Protocol (RIP) technique.
- We combine the method LDNN-HGS-ROA to identify the intrusion strongly and to find the unusual patterns LDNN employs, and to improve the process of identification HGS-ROA is implemented.
Cyber Security attack detection in IoT cloud
- By improving the protection utilizing Internet of Things (IoT) cloud computing we employ Elliptic Curve Cryptography with double-gate authentication and this supplements a layer of security by requiring the two various kinds of credentials.
- BOT-IoT DATASET is used by us and that is segmented into protocols and contains DDoS, DoS, OS, and service scanning, keylogging and assaults in data exfiltration.
- We manage missing values and implementing Linear Regression is one of the crucial sections of data preparation technique.
- When protecting the important details by reducing the dimensionality of data we utilize “Principal Component Analysis (PCA) and t-distributed Stochastic Neighbor Embedding (t-SNE) are incorporated”.
- Finding and the classifying the cyberattacks in IoT-based cloud computing systems employ Multi Layer Perceptron (MLP) with gray box optimization method.
- To identify irregularities in real time we utilize Probabilistic Feature Representation Auto Encoder.
- Simulation results / Parameters
Succeeding the comparative analysis, we have to compare different parameters for the Cyber Security system to obtain the corresponding outcome.
Cyber Security – Intrusion Detection System
For Cyber Security Intrusion Detection system we compare the parameters like Accuracy, Throughput, Packet Delivery Ratio, Attack Detection Rate, and Delay these all parameters were compared with the Number of IoT Devices and the Authentication rate is compared with the Number of users. These are the parameters that we compared to obtain the best outcome.
Cyber Security attack detection in IoT cloud
Also the Cyber Security attack detection in IoT based research, we employ the parameters like F1 score, and Specificity, Recall, Accuracy, Sensitivity, Precision and Recall are employed.
- Dataset LINKS / Important URL
In this the parameters we selected are compared to obtain the best outcomes, and then afterwards here we provide some important links that is useful to overview the Cyber Security uses, application and some additional references for any clarification we go through the following links:
Cyber Security Intrusion detection links
- https://www.sciencedirect.com/science/article/pii/S1110866522000482
- https://ieeexplore.ieee.org/iel7/8782661/8901158/10243611.pdf
- https://ieeexplore.ieee.org/abstract/document/10077779/
- https://www.sciencedirect.com/science/article/pii/S1110016823002430
Cyber Security attack detection in IoT cloud links
- https://www.mdpi.com/2076-3417/11/4/1674
- https://ieeexplore.ieee.org/abstract/document/8812669
- https://www.mdpi.com/1424-8220/22/16/6117
- Cyber Security Applications
We provide some applications for Cyber Security systems like Distributed denial of service attack or DDOs Security, Bots, Antivirus and Antimalware and Threat Management System are some of the applications to be utilized in Cyber Security based work.
- Topology for Cyber Security
Cyber Security also provides the topology that defines in what way the things are set up and connected in the IoT ecosystem. The Internet of Things (IoT) combination (Topology defines how the appliances, sensors, and cloud materials are arranged and associated inside the IOT surroundings. Over the grouping of Internet of Things (IoT) devices with cloud Service (IoT) we process, store, and data examining procedure into a simpler) device which employs cloud service to activate.
- Environment in Cyber Security
Here we discuss the environment in Cyber Security; in this the cyber threat environment is the online space where cybercriminal carries out the unauthorized cybercriminal activity. The Cyber Security environment consists of network, equipment and procedures which are linked to the internet and are aimed by the cyber attacker as well as the malicious user.
- Simulation tools
The proposed system needs the subsequent software requirements. We require that the Cyber Security detection is to implement this work by incorporating the language C++ and it is developed by the tool NS 3.26. The operating system that is required for the work is Ubuntu 16.06 [LTS]. These are all the software requirements that we employed for Cyber Security.
- Results
Cybersecurity is utilized to detect any malicious or unauthorized attacks; we proposed this to our research to overcome the previous issues. In this we compared various methods to analyze and employ various parameters to obtain the perfect outcome for this research. The software requirements that need to be implemented the research is C++ and the tool is NS 3.26.
Cyber security Digital Forensics Research Ideas:
Following are the research topics that we suggest to get the ideas from this. This is useful to us by go through the cyber security based concepts, explanations, techniques and methods utilized for that paper.
- A Fully Streaming Big Data Framework for Cyber Security Based on Optimized Deep Learning Algorithm
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- The Contribution of the European NIS2 Directive to the Design of the Cyber Security Model
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- Cyber security in (automated) vehicles and liability: the EU legal framework and (a lack of) compensation
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- From Cyber Security to Cyber Power: Appraising the Emergence of ‘Responsible, Democratic Cyber Power’ in UK Strategy
- AI-assisted Cyber Security Exercise Content Generation: Modeling a Cyber Conflict
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- Management of enterprise cyber security: A review of ISO/IEC 27001:2022
- Cyber Security Maturity Assessment Framework for Technology Startups: A Systematic Literature Review
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- APTTOOLNER: A Chinese Dataset of Cyber Security Tool for NER Task
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- Research on Power System Cyber Security Defense based on ATT&CK Framework
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- Cyber Security Implementation Issues in Small to Medium-sized Enterprises (SMEs) and their Potential Solutions: A Comprehensive Analysis
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- A Model to Measure Cyber Security Maturity at the National Level
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- Need of Cyber Security, Tools, Uses and Future Research
- Air Traffic Control System Cyber Security Using Humans and Machine Learning
- An Overview of Implementation Strategies on Cyber Security
- A Decade of Studies on Cyber Security Training in Organizations using Social Network Analysis: A Systematic Literature Review Through Keyword co-Occurrence Network
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- A Systematic Literature Review on Cyber Security Education for Children
- Enhancing Cyber Security in Industrial Internet of Things Systems: An Experimental Assessment
- Experimental Evaluation of Smart Electric Meters’ Resilience Under Cyber Security Attacks
- Cyber Security in the Indian Electricity Distribution System: A Review
- Gamification Design as Learning Media to Motivate Students to Increase Cyber Security Awareness towards Phishing
- Role of Cyber security in Gaming technology
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- A Review on Emerging Trends in Artificial Intelligence and Cyber Security Applications in IT Industry
- Cyber Security Testbed: Keyloggers and Data Visualization on Keyloggers – A Case Study
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- Identifying the Features of the Various Cyber Dataset for Ensuring Cyber Security using Hybrid Optimization Techniques and Machine Learning (ML)
- IoT Implementation in Various Applications: A Detailed Review of Cyber Security Issues and Challenges
- Collaborative Robots and Cyber Security in Industry 5.0
- E-Commerce Supply Chains with Considerations of Cyber-Security
- Cyber Security Flood Attacks and Risk Assessment for Internet of Things (IoT) Distributed Systems
- Deep Learning-Based PMU Cyber Security Scheme Against Data Manipulation Attacks With WADC Application
- Cyber security in technical education
- Design & Development of Virtual Reality Empowered Cyber-Security Training Testbed for IoT Systems
- A Human-Centric Cyber Security Training Tool for Prioritizing MSNAs
- A Comprehensive Investigation of Blockchain Technology’s Role in Cyber Security
- Cyber Security Issues and Challenges Related to Generative AI and ChatGPT
- An Experimental Analysis Into Blockchain Cyber Security Attacks
- A Review of Cyber Security in Cryptography: Services, Attacks, and Key Approach
- MAD: One-Shot Machine Activity Detector for Physics-Based Cyber Security
- Necessity and Role of Blockchain Technology in the Domain of Cyber Security and Data Science
- Analysis of Cyber Security Threats in Payment Gateway Technology
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- Artificial Intelligence for Cyber Security Goals
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- Blockchain Implementation in Financial Sector and Cyber Security System
- A Review of use of Artificial Intelligence on Cyber Security and the Fifth-Generation Cyber-attacks and its analysis
- Utilizing Bio Metric System for Enhancing Cyber Security in Banking Sector: A Systematic Analysis
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- Robustness Assessment of Wind Power Prediction Under Cyber Security Attacks and its Impacts on Power System Operations
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- Biometric in Cyber Security: A Mini Review
- Vulnerability of Cyber Security in Cloud Computing Environment
- Wiegand vs. OSDP in Cyber Security
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- Quantifying the Financial Impact of Cyber Security Attacks on Banks: A Big Data Analytics Approach
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- Generative Adversarial Networks for Anomaly Detection in Cyber Security: A Review
- A cyber-security testbed for the dynamic operation of transmission power systems
- Cyber Security Architecture for Safe Data Storage and Retrieval for Smart City Applications
- A Cyber-Security Framework for ST-MPC of State and Input Constrained CPS Under False Data Injection Attacks
- Internal and External Threats in Cyber Security and Methods for Their Prevention