Скачать или смотреть Algorithms, Big Data, and Cybersecurity

Various technological and societal challenges emerging in cybersecurity, data analysis, and algorithm optimization. Machine learning and deep learning techniques for detecting fake news and spam emails are employing methods like Natural Language Processing (NLP), word embeddings, and classification algorithms such as Random Forest and Logistic Regression. Areas in cybersecurity threats, including malware, phishing, denial-of-service attacks, and data breaches are emphasizing the importance of network and information security measures like firewalls, encryption, and access control. Additionally, "Algorithms: Big Data, Optimization Techniques, Cyber Security" (2024, Dimri) examines optimization problems like the Traveling Salesman Problem (TSP), proposing heuristic algorithms for efficient route determination, and analyze sorting algorithms, suggesting improvements to insertion sort using binary search for enhanced comparison efficiency in specific scenarios.

From securing digital communications and detecting malicious content to optimizing complex routing problems and managing sensor networks, efficient and robust algorithms, often enhanced by machine learning and deep learning, are presented as indispensable tools in the modern interconnected world. The research also highlights ongoing challenges, critical vulnerabilities, proposed solutions and future directions, underscoring the continuous need for innovation in algorithmic design and implementation.

Glossary of Key Terms
Advanced Encryption Standard (AES): A widely used symmetric encryption algorithm developed by the United States National Institute of Standards and Technology in 2001 for electronic data encryption.
Anomaly-based Detection: A detection method that identifies deviations from normal network or system behavior, effective in detecting new or unknown threats.
Botnets: Networks of compromised remote-control devices used to carry out malicious activities such as spamming, coordinating attacks, and spreading malware.
Confidentiality, Integrity, and Availability (CIA Triad): Fundamental principles of information security: Confidentiality (protecting data from unauthorized access), Integrity (ensuring data is accurate and untampered), and Availability (ensuring systems and data are accessible when needed).
Defense-in-Depth: A cybersecurity strategy that involves implementing multiple layers of security controls to provide overlapping protection, ensuring that if one layer is breached, others are still in place.
Field-Programmable Gate Array (FPGA): A semiconductor device containing programmable logic blocks and reconfigurable interconnects, allowing it to be programmed or reprogrammed for specific applications.
High-Speed Transceiver Logic (HSTL): A JEDEC-established I/O standard designed for fast signal transmission and reduced signal noise, suitable for high-speed data interfaces in modern digital technologies.
Host-based Intrusion Prevention Systems (HIPS): Software installed on individual hosts or endpoints to monitor and prevent intrusions at the local level by analyzing system logs and implementing prevention measures directly on the host.
Intrusion Detection System (IDS): A security tool that monitors network traffic and systems for signs of potential security breaches or malicious activities, alerting users when suspicious behavior is detected.
IPsec (Internet Protocol Security): A suite of protocols used to secure Internet Protocol (IP) communications by authenticating and encrypting each IP packet of a data stream.
Man-in-the-Middle (MIM) Attack: A cyberattack where an attacker secretly intercepts and relays communications between two parties who believe they are communicating directly with each other.
Passive Aggressive Classifier (PAC): An online learning algorithm used for classification problems, known for its ability to handle large datasets and adjust its model in response to new information.
RTL Analysis (Register Transfer Level Analysis): A process in digital design that verifies the correctness and functionality of a design at the register transfer level, analyzing the behavior and interactions of registers, data paths, and control logic.
Sinkhole Attack: An attack in Wireless Sensor Networks (WSNs) where a malicious node attracts all network traffic, potentially causing a denial of service or data manipulation.
Social Engineering Attacks: Psychological manipulation of people into performing actions or divulging confidential information.
Sybil Attack: An attack in Wireless Sensor Networks (WSNs) where an attacker creates multiple fake identities to disrupt network protocols and operations.
Voltage Scaling: A technique used to reduce power consumption in electronic circuits by reducing the operating voltage, often employed in energy-efficient designs.
WannaCry Cyberattack (2017): A major global ransomware cyberattack that exploited a vulnerability in unpatched Windows operating systems, encrypting data and demanding ransom.