In the era of the digital world, cyber-attacks are evolving fast along with technological advancements. The attackers/hackers are attempting to do malicious actions on legitimate users’ information. In some cases, the attackers pretend to act as original users by their identity to do malpractices. So, the demands for security measures are increasing tremendously in recent days. Moreover, the common attacks are phishing, botnets, DDoS, cross-site scripting, malware, and SQL injection attacks. This article has the objective to give you the latest cyber attack research topics, trends, technologies, etc.!!!
In all kinds of networking and communication, security has become the default feature to be expected to protect sensitive data and handle hostile environs. Since, the attacker has more probability to illegally access the data, affect/adjust node behavior, interrupt network functions, etc. All these harm-creating attacks are collectively addressed as cyber-attacks. Below, we have given you some globally popular cyber-attacks.
Different Types of Cyber Attacks
- Firmware Node-oriented Attacks
- Overwhelm
- Application
- Hybrid Attacks (Packets and Noise)
- Sybil
- Looping in the network
- Node replication
- Spoofed
- Noise-oriented Attacks
- Homing
- Selective Forwarding
- Collision
- Resource Enervation
- Black Hole
- Denial of service (DoS)
- Jamming
- Packet-oriented Attacks
- Misdirection
- Energy Drain
- Flooding
- Hello Flood
- Interrogation
However this field has been scientifically developed in all respects, it has few challenges in a real-world environment. Therefore, we referred to several research journal papers to collect up-to-date research issues. After the complete review of past cyber attack research topics, we have identified several research constraints. For your references, here we have listed significant limitations/research issues in cyber-attacks.
What are the limitations of Cyber Attacks?
- The high false-alarm rate for increased realistic attacks
- Degradation of cyber-attack detection techniques by both internal and external noise
- The inability of access control policies to discriminate unknown and known attacks in large-scale network
- Generation of corrupted network packets, DNS information, software errors, etc.
Nowadays, technologies are changing day-by-day due to the varying interest and demands in cyber-related systems for information security. Eventually, it also influences the research community to look for topics in current trends. So, here we have given you a few significant developments for cyber-attack detection and prevention.
Research Trends in Cyber Attacks
- Advanced Video / Image Analysis in Digital Forensic
- Efficient Techniques for Cyber Event Analysis
- Secure Device and Time Synchronization
- Blockchain-based Security for Cryptocurrencies Theft
- Steganography and Stega Investigation against Cyber Attacks
- The implication of Data Manipulation on QoS and Security
Currently, in the cyber-attack field, more numbers of technologies are growing for detecting and preventing cyber-attacks in a dynamic environment. On contrary, cyber-attacks are also advancing fast to break cyber security systems. So, we have to strengthen the security mechanism to unbreakable. Our resource team is here to help you to find strong security solutions against cyber-attacks. Below, we have given you a few upcoming technologies, particularly for cyber-attack detection.
Emerging Technologies for Cyber Attacks Detection
- Blockchain and Holochain
- Quantum Cryptography
- Lightweight Cryptography
- Machine Learning and Deep Learning algorithms
- Optimization and Decision Making Algorithms
- Network Virtualization for Different Scales
- Honeypot, Firewall, and Dynamic Rule Generation Policies
In actual fact, our developers are skillful in handling numerical operations, mathematical equations. So, we are capable to solve any kind of complicated technical issues while designing appropriate solutions for cyber-attack models. Here, we have given you detailed information on the fundamental functionalities of cyber-attack models.
How does the cyber-attacks model work?
Attacks Performance Assessment
- Examine the effect of the attack in every node/channel
- The effect varies based on network entities, topology, software, and configuration
- Attack on one node will not affect others
- Individually can detect the affected portion of the network (like compromised)
- Simulate the whole network model at any attack state while executing real embedded interfaces
- Based on assessed performance, recognize the risky attacks in cyber environs
Selection of Countermeasure against Attacks
- Once the risky attacks are identified, then select optimal security measures
- Assess the performance of handpicked security measures
- Alter the embedded software to reduce the impact of attacks
- Further, it includes the following two phases:
- Modeling of Attack Detection Technique
- Develop software to identify attack timings
- Find the impact of an attack by performance
- The detection method aimed to provide a solution immediately
- For instance: Compare to normal simulation, the network affected by attacks will yield varying packet rate
- If the default range value violates, then the node is at risk
- Modeling of Attack Countermeasures
- Design countermeasure with least impact on normal network and no impact of the attack
- Use various methods to design countermeasure as follows,
- Turn off / eliminate affected node
- Alter channel/encryption key for communication
- And many more
- Assess countermeasure for enhanced performance
- Do changes at the designing phase itself before direct deployment
- Perform comparative study to select the optimal one
- Modeling of Attack Detection Technique
Cyberattack Simulation Methods
As a matter of fact, there are different kinds of cybersecurity attack functions with extended attack surfaces. This is because of enhanced 5G network connectivity, IoT sensors, and many more. For your awareness, here we have given you different new methods for cyber-attacks in various classifications.
- Cooperation Degree Taxonomy
- Interdependent
- Autonomous
- Cooperative
- Sequence-based Supervised Learning
- Long-Short Term Memory
- Recurrent Neural Network
- Other Variants of RNN
- Placement Techniques
- Hybrid-based
- Centralized
- Decentralized / Distributed
- Positioning Location Taxonomy
- Intermediate Network
- Source Network
- Victim Network
- Instance-based Supervised Learning
- Deep Neural Network
- Convolution Neural Network
- Shallow Neural Network
- Detection Techniques
- Anomaly-oriented
- Hybrid-based
- Signature-oriented
- Instance-based Semi-supervised Learning
- Restricted Boltzmann Machine with Classifier
- Classifier with Auto-encoder
- Deep Belief Network with Classifier
- Other Unsupervised Learning with Classifier
- Attack Response Strategy Taxonomy
- Filtering
- Agent Detection
- Reconfiguration
- Rate-limiting
- Other Learning Models
- Transfer Learning
Our experts have the default nature to think out-of-box for providing incredible research notions. In order to practically achieve this target, we recurrently conduct a review on emerging research areas. So, we are usually aware of all technological advancements to present up-to-date information. Below, we have listed a few important cyber attack research topics that we are currently working on.
Top 6 Interesting Cyber Attack Research Topics
- Comparative study of IPS and IDS
- Find similarities and differences among IPS and IDS
- Analyze why IPS is preferable to IDS
- Mitigation Plan for Malware
- Find various malware in web-based services
- Computer possible network susceptibilities
- Model the appropriate mitigation plan against malware vulnerability
- DDoS attacks and Economic Impact
- Identify DDoS attack
- Predict the effect of DDoS attack on the server
- Analyze economic impact due to attack
- Penetration Test and Susceptibility Analysis
- Model efficient penetration plan
- Monitor the network by a penetration test
- Detect probable security threats for testing
- Implement the developed penetration test
- Review of Advance Phishing and Mitigation Schemes
- Identify various types of phishing
- Inspect in what way phishing attacks functions
- Design the appropriate defensive / preventive measures
- Security Threats over Database
- Detect possible various kinds of threats on the database
- For instance: SQL injection attack
- Selection of optimal mitigation scheme against database threats/attacks
Once you choose the topic and development tool then select the dataset that you are going to use in your project implementation phase. By the by, there are several online resources to download the digital forensic dataset. Most important thing is that you need to choose a well-suited dataset for your project so we help you to choose the optimal one depending on your research problem. Here, we have given you the set of widely utilized datasets that are more apt for cyber attack research topics development.
Datasets for Cyber Attacks
- TON_IoT
- Projected for Network Security, Configuration and Connectivity related applications
- NLS-KDD
- Specified for emerging WSN applications
- UNWS-NB15
- Intended for applications of Underwater Wireless Sensor Network
- BoT-IoT
- Envisioned for raw PCAP files (network traffic data) employed applications
- N-BaIoT
- Capable for Wi-Fi-based Cellular Communication applications
- KDDCUP99
- Useful for Sensor-based application in Wireless Network
- IoT-23
- Developed specifically for IoT enabled DNS Traffic Management applications
- MedBIoT
- Planned for IoT-Botnets and Attacks Detection applications
- Customized Datasets
- Proposed for Raw Traffic Missing files and PCAP files (packet traffic)
- NIMS
- Appropriate for Sensing and Analyzing applications
How to use datasets for cyber-attack detection?
Generally, cybersecurity datasets are more accurate for real-time applications such as network intrusion detection systems, intrusion prevention systems, etc. For illustration purposes, here we have given how the dataset is trained for the exploratory attack model.
Exploratory Attack
- Train the adversary dataset for model development
- Attacks will be unselective (whole datasets) or selective (specific datasets)
- Determine the false negative that transmitted via system (for integrity)
- Determine false positives that restrict the access of authenticated records (for availability)
To the end, we are glad to inform you that we provide the best guidance in every phase of cyber attack research topics and project development. Further, if you need more information about our services then contact our team. We assure you to fulfill your dream of creating an incredible cyber-attack research journey.
