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Improved homomorphic evaluation for hash function based on TFHE

Homomorphic evaluation of hash functions offers a solution to the challenge of data integrity authentication in the context of homomorphic encryption. The earliest attempt to achieve homomorphic evaluation of ...

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An empirical study of reflection attacks using NetFlow data

Reflection attacks are one of the most intimidating threats organizations face. A reflection attack is a special type of distributed denial-of-service attack that amplifies the amount of malicious traffic by u...

Phishing behavior detection on different blockchains via adversarial domain adaptation

Despite the growing attention on blockchain, phishing activities have surged, particularly on newly established chains. Acknowledging the challenge of limited intelligence in the early stages of new chains, we...

Ensemble learning based anomaly detection for IoT cybersecurity via Bayesian hyperparameters sensitivity analysis

The Internet of Things (IoT) integrates more than billions of intelligent devices over the globe with the capability of communicating with other connected devices with little to no human intervention. IoT enab...

CommanderUAP: a practical and transferable universal adversarial attacks on speech recognition models

Most of the adversarial attacks against speech recognition systems focus on specific adversarial perturbations, which are generated by adversaries for each normal example to achieve the attack. Universal adver...

Enhancing fairness of trading environment: discovering overlapping spammer groups with dynamic co-review graph optimization

Within the thriving e-commerce landscape, some unscrupulous merchants hire spammer groups to post misleading reviews or ratings, aiming to manipulate public perception and disrupt fair market competition. This...

In-depth Correlation Power Analysis Attacks on a Hardware Implementation of CRYSTALS-Dilithium

During the standardisation process of post-quantum cryptography, NIST encourages research on side-channel analysis for candidate schemes. As the recommended lattice signature scheme, CRYSTALS-Dilithium, when i...

Atomic cross-chain swap based on private key exchange

Atomic Cross-Chain Swap (ACCS) is one important topic in cryptocurrency, where users can securely and trustlessly exchange assets between two different blockchains. However, most known ACCS schemes assume spec...

HSS: enhancing IoT malicious traffic classification leveraging hybrid sampling strategy

Using deep learning models to deal with the classification tasks in network traffic offers a new approach to address the imbalanced Internet of Things malicious traffic classification problems. However, the em...

Key derivable signature and its application in blockchain stealth address

Stealth address protocol (SAP) is widely used in blockchain to achieve anonymity. In this paper, we formalize a key derivable signature scheme (KDS) to capture the functionality and security requirements of SA...

Polar code-based secure transmission with higher message rate combining channel entropy and computational entropy

The existing physical layer security schemes, which are based on the key generation model and the wire-tap channel model, achieve security by utilizing channel reciprocity entropy and noise entropy, respective...

Dissecting zero trust: research landscape and its implementation in IoT

As a progressive security strategy, the zero trust model has attracted notable attention and importance within the realm of network security, especially in the context of the Internet of Things (IoT). This pap...

Study of smart grid cyber-security, examining architectures, communication networks, cyber-attacks, countermeasure techniques, and challenges

Smart Grid (SG) technology utilizes advanced network communication and monitoring technologies to manage and regulate electricity generation and transport. However, this increased reliance on technology and co...

A multi-agent adaptive deep learning framework for online intrusion detection

The network security analyzers use intrusion detection systems (IDSes) to distinguish malicious traffic from benign ones. The deep learning-based (DL-based) IDSes are proposed to auto-extract high-level featur...

Iterative and mixed-spaces image gradient inversion attack in federated learning

As a distributed learning paradigm, federated learning is supposed to protect data privacy without exchanging users’ local data. Even so, the gradient inversion attack , in which the adversary can reconstruct the ...

Winternitz stack protocols for embedded systems and IoT

This paper proposes and evaluates a new bipartite post-quantum digital signature protocol based on Winternitz chains and an  oracle. Mutually mistrustful Alice and Bob are able to agree and sign a series of do...

Joint contrastive learning and belief rule base for named entity recognition in cybersecurity

Named Entity Recognition (NER) in cybersecurity is crucial for mining information during cybersecurity incidents. Current methods rely on pre-trained models for rich semantic text embeddings, but the challenge...

DTA: distribution transform-based attack for query-limited scenario

In generating adversarial examples, the conventional black-box attack methods rely on sufficient feedback from the to-be-attacked models by repeatedly querying until the attack is successful, which usually res...

A survey on lattice-based digital signature

Lattice-based digital signature has become one of the widely recognized post-quantum algorithms because of its simple algebraic operation, rich mathematical foundation and worst-case security, and also an impo...

Shorter ZK-SNARKs from square span programs over ideal lattices

Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) are cryptographic protocols that offer efficient and privacy-preserving means of verifying NP language relations and have drawn consid...

Revocable and verifiable weighted attribute-based encryption with collaborative access for electronic health record in cloud

The encryption of user data is crucial when employing electronic health record services to guarantee the security of the data stored on cloud servers. Attribute-based encryption (ABE) scheme is considered a po...

Maxwell’s Demon in MLP-Mixer: towards transferable adversarial attacks

Models based on MLP-Mixer architecture are becoming popular, but they still suffer from adversarial examples. Although it has been shown that MLP-Mixer is more robust to adversarial attacks compared to convolu...

Practical solutions in fully homomorphic encryption: a survey analyzing existing acceleration methods

Fully homomorphic encryption (FHE) has experienced significant development and continuous breakthroughs in theory, enabling its widespread application in various fields, like outsourcing computation and secure...

A circuit area optimization of MK-3 S-box

In MILCOM 2015, Kelly et al. proposed the authentication encryption algorithm MK-3, which applied the 16-bit S-box. This paper aims to implement the 16-bit S-box with less circuit area. First, we classified th...

Intrusion detection system for controller area network

The rapid expansion of intra-vehicle networks has increased the number of threats to such networks. Most modern vehicles implement various physical and data-link layer technologies. Vehicles are becoming incre...

CT-GCN+: a high-performance cryptocurrency transaction graph convolutional model for phishing node classification

Due to the anonymous and contract transfer nature of blockchain cryptocurrencies, they are susceptible to fraudulent incidents such as phishing. This poses a threat to the property security of users and hinder...

Enhanced detection of obfuscated malware in memory dumps: a machine learning approach for advanced cybersecurity

In the realm of cybersecurity, the detection and analysis of obfuscated malware remain a critical challenge, especially in the context of memory dumps. This research paper presents a novel machine learning-bas...

BRITD: behavior rhythm insider threat detection with time awareness and user adaptation

Researchers usually detect insider threats by analyzing user behavior. The time information of user behavior is an important concern in internal threat detection.

F3l: an automated and secure function-level low-overhead labeled encrypted traffic dataset construction method for IM in Android

Fine-grained function-level encrypted traffic classification is an essential approach to maintaining network security. Machine learning and deep learning have become mainstream methods to analyze traffic, and ...

WAS: improved white-box cryptographic algorithm over AS iteration

The attacker in white-box model has full access to software implementation of a cryptographic algorithm and full control over its execution environment. In order to solve the issues of high storage cost and in...

Full-round impossible differential attack on shadow block cipher

Lightweight block ciphers are the essential encryption algorithm for devices with limited resources. Its goal is to ensure the security of data transmission through resource-constrained devices. Impossible dif...

Minimizing CNOT-count in quantum circuit of the extended Shor’s algorithm for ECDLP

The elliptic curve discrete logarithm problem (ECDLP) is a popular choice for cryptosystems due to its high level of security. However, with the advent of the extended Shor’s algorithm, there is concern that E...

Towards the transferable audio adversarial attack via ensemble methods

In recent years, deep learning (DL) models have achieved significant progress in many domains, such as autonomous driving, facial recognition, and speech recognition. However, the vulnerability of deep learnin...

LayerCFL: an efficient federated learning with layer-wised clustering

Federated Learning (FL) suffers from the Non-IID problem in practice, which poses a challenge for efficient and accurate model training. To address this challenge, prior research has introduced clustered FL (C...

A novel botnet attack detection for IoT networks based on communication graphs

Intrusion detection systems have been proposed for the detection of botnet attacks. Various types of centralized or distributed cloud-based machine learning and deep learning models have been suggested. Howeve...

Machine learning based fileless malware traffic classification using image visualization

In today’s interconnected world, network traffic is replete with adversarial attacks. As technology evolves, these attacks are also becoming increasingly sophisticated, making them even harder to detect. Fortu...

Research on privacy information retrieval model based on hybrid homomorphic encryption

The computational complexity of privacy information retrieval protocols is often linearly related to database size. When the database size is large, the efficiency of privacy information retrieval protocols is...

Performance evaluation of Cuckoo filters as an enhancement tool for password cracking

Cyberthreats continue their expansion, becoming more and more complex and varied. However, credentials and passwords are still a critical point in security. Password cracking can be a powerful tool to fight ag...

Tor network anonymity evaluation based on node anonymity

In order to address the shortcomings of traditional anonymity network anonymity evaluation methods, which only analyze from the perspective of the overall network and ignore the attributes of individual nodes,...

Verifiable delay functions and delay encryptions from hyperelliptic curves

Verifiable delay functions (VDFs) and delay encryptions (DEs) are two important primitives in decentralized systems, while existing constructions are mainly based on time-lock puzzles. A disparate framework ha...

MSLFuzzer: black-box fuzzing of SOHO router devices via message segment list inference

The popularity of small office and home office routers has brought convenience, but it also caused many security issues due to vulnerabilities. Black-box fuzzing through network protocols to discover vulnerabi...

A deep learning aided differential distinguisher improvement framework with more lightweight and universality

In CRYPTO 2019, Gohr opens up a new direction for cryptanalysis. He successfully applied deep learning to differential cryptanalysis against the NSA block cipher SPECK32/64, achieving higher accuracy than trad...

Attack based on data: a novel perspective to attack sensitive points directly

Adversarial attack for time-series classification model is widely explored and many attack methods are proposed. But there is not a method of attack based on the data itself. In this paper, we innovatively pro...

Improved lower bound for the complexity of unique shortest vector problem

Unique shortest vector problem (uSVP) plays an important role in lattice based cryptography. Many cryptographic schemes based their security on it. For the cofidence of those applications, it is essential to c...

Evolution of blockchain consensus algorithms: a review on the latest milestones of blockchain consensus algorithms

Blockchain technology has gained widespread adoption in recent years due to its ability to enable secure and transparent record-keeping and data transfer. A critical aspect of blockchain technology is the use ...

Graph neural network based approach to automatically assigning common weakness enumeration identifiers for vulnerabilities

Vulnerability reports are essential for improving software security since they record key information on vulnerabilities. In a report, CWE denotes the weakness of the vulnerability and thus helps quickly under...

EPASAD: ellipsoid decision boundary based Process-Aware Stealthy Attack Detector

Due to the importance of Critical Infrastructure (CI) in a nation’s economy, they have been lucrative targets for cyber attackers. These critical infrastructures are usually Cyber-Physical Systems such as powe...

Generic attacks on small-state stream cipher constructions in the multi-user setting

Small-state stream ciphers (SSCs), which violate the principle that the state size should exceed the key size by a factor of two, still demonstrate robust security properties while maintaining a lightweight de...

Evicting and filling attack for linking multiple network addresses of Bitcoin nodes

Bitcoin is a decentralized P2P cryptocurrency. It supports users to use pseudonyms instead of network addresses to send and receive transactions at the data layer, hiding users’ real network identities. Tradit...

Aparecium: understanding and detecting scam behaviors on Ethereum via biased random walk

Ethereum’s high attention, rich business, certain anonymity, and untraceability have attracted a group of attackers. Cybercrime on it has become increasingly rampant, among which scam behavior is convenient, c...

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Introduction to Cybersecurity

• First Online: 05 August 2021

Cite this chapter

• Gurdip Kaur 3 ,
• Ziba Habibi Lashkari 4 &
• Arash Habibi Lashkari 3  

Part of the book series: Future of Business and Finance ((FBF))

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In this chapter, cybersecurity principles to protect digital information against cyber threats and cyber threat actors are discussed. Three fundamental principles to protect data include confidentiality, integrity, and availability. These principles are extended by adding two more principles of accountability and authenticity. The main motivations behind launching cyber threats are data breaches, financial instability, service disruption, and politics. These motivations pave the way for securing critical organizational assets by following the CIAAA principle. Surprisingly, the world’s biggest data breaches have exposed several businesses including communication, social networking, aviation industry, financial sector, government databases, health care, media, and transportation. These breaches emphasize the need for a data-centric security management system that includes data protection, transfer, control, access, and measurement. The data-centric security management process gathers meticulous information about an organization to understand how an attacker can exploit the vulnerabilities.

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Kaur, G., Habibi Lashkari, Z., Habibi Lashkari, A. (2021). Introduction to Cybersecurity. In: Understanding Cybersecurity Management in FinTech. Future of Business and Finance. Springer, Cham. https://doi.org/10.1007/978-3-030-79915-1_2

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• DOI: 10.34190/eccws.23.1.2232
• Corpus ID: 270697557

Key Actions to Enable Automation for Mobile Network Security Operations

• Jarno Kämppi , Karo Saharinen
• Published in European Conference on Cyber… 21 June 2024
• Computer Science, Engineering
• European Conference on Cyber Warfare and Security

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14 References

Autonomous network management in multi-domain 6g networks based on graph neural networks, 5g security landscape: concept and remaining challenges, desired cybersecurity skills and skills acquisition methods in the organizations, end-to-end service assurance in 5g crosshaul networks, overcoming network and security management platform gaps in federated software networks, the future cybersecurity workforce: going beyond technical skills for successful cyber performance, network monitoring: present and future, impact of agile development implementation on configuration and change management in telecom domain, research design: qualitative, quantitative, and mixed methods approaches, network automation: enhancing operational efficiency across the network environment, related papers.

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Cyber Security- Research paper

Abstract In the modern context, ‘cyber attacks’ or ‘cyber hazards’ otherwise referred as ‘cyber crimes’, is a highly referred term because of its complex and evolving nature in a sphere unseen to the human eye; ‘cyber sphere’. The perpetrators and the victims of cyber crimes are reported from all over the world with no particular location, meaning any individual of any part of a region can be subjected to a cyber threat or actively participate in the particular area. As individuals who are living in a highly digitalized society, it is a vital need to be aware of the potential threats that comes with the use of information technology and how to be protected from these threats. Cyber security aims in protecting individuals from this border￾less crimes and to ensure their safety while protecting their personal data, when surfing internet/ World Wide Web. Thus, this research aims at understanding the level of awareness among individuals (youth) about cyber threats and cyber security, in the Sri Lankan context. The research has been conducted in the context of Socio-legal, analytical and qualitative research formats in order to provide an understanding on the current position of cyber security awareness among youth in Sri Lanka and how the laws and legal institutions serve the needs of the society, and to find reasons and solutions for the facets and factors that are responsible for the tested area in the research.

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There is near no literature available about India’s cyber security activities. Because of this absence and despite India’s grand standing in the cyber world, India is not included in the tightest intelligence sharing circles of big-powers like the US and Britain. Debates, discussions, analysis and simulation of cyber security in the public domain are not only essential but also unavoidable to build a robust digital India. This volume is an endeavor to gather the scattered and tickling pieces and provide a platform to channelize the untapped potential. Indian Infosec Consortium is dedicated to enrich India’s cyber security policy debate and offer first-of-itskind glimpse into the secret world of Asia’s cyber space. This volume would excite readers on many accounts. Firstly, it provides information about the people who are working in this field. The compilation is accommodating the senior-most of government functionaries while giving space to the youngest cyber professional at the same stage. The participants, who contributed to this volume belong to diverse back-ground which offer stiff competition among the participants to test their cyber prowess. The assemblage of the gist or abstract of papers presented at the Ground Zero Summit 2014 is the only authoritative text that offer tremendous amount of information to cyberenthusiasts, who in turn would, track and visualize changes in the digital world and prepare themselves for future challenges. With these words, Indian Infosec Consortium is dedicating this volume to its esteem readers.

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The report looks at the unintended consequences of remote warfare and makes 31 specific recommendations for the new British government. What is ultimately needed, it argues, is a comprehensive rethink of defence and security strategy and a move away from remote-control warfare towards more enduring, accountable and effective responses to today’s multiple security threats.

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Proceedings of the INTERNATIONAL CONFERENCE ON "CYBERSPACE GOVERNANCE:The Imperative For National & Economic Security"

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As every coin has its two sides, Internet, also contains positives and negatives both. But for all the good it does to us, internet has its dark sides too. Out of all the newest and possibly the most convoluted trouble in the cyber world is Cyber-crime. Cybercrime is an umbrella term that covers a wide array of attacks and scams. Cyber-crime generally refers to criminal activity where a computer or network is the source, tool, target, or place of a crime. In recent times most of the above bizarre crimes are committed via Social Networks. For instance, Face book impersonation, Face book pornography, Blackmailing on Facebook, Hacking of passwords & stealing of information are some of them. In the domestic scenario throughout the last few years Sri Lanka has been experiencing relatively high rate of cyber-crimes supervised under Face book and other social networks. This situation has endangered the social life of the general public, adversely affect to the life of individuals and ultimately tarnish the image of the country. In order to mitigate there are several legislations passed by parliament recently the problem remains whether they are functioning effectively and whether the general public is aware of the existing laws. Sri Lanka is having a high risk in near future in this regard and for the time being this threat has not been a complicated one. But with the availability of resources and with the developing technology over time, there is a potential of being. But our government comparatively or totally hasn't acted in an effective manner to mitigate these risks. This paper is completely focused on cyber crime issue, trends and problem faced by International and Sri Lankan users and how cybercrimes can be minimized by formulating effective cyber crime laws in Sri Lanka and how it happened in other countries.

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Mobile devices are becoming a method to provide an efficient and convenient way to access, find and share information; however, the availability of this information has caused an increase in cyber attacks. Currently, cyber threats range from Trojans and viruses to botnets and toolkits. Presently, 96% of mobile devices do not have pre-installed security software while approximately 65% of the vulnerabilities are found within the application layer. This lack in security and policy driven systems is an opportunity for malicious cyber attackers to hack into the various popular devices. Traditional security software found in desktop computing platforms, such as firewalls, antivirus, and encryption, is widely used by the general public in mobile devices. Moreover, mobile devices are even more vulnerable than personal desktop computers because more people are using mobile devices to do personal tasks. This review attempts to display the importance of developing a national security policy created for mobile devices in order to protect sensitive and confidential data.

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In the last two decades, Elliptic Curve Cryptography (ECC) has increasingly being used and considered as one of the top public key cryptography schemes. This interest is mainly caused by the same level of security with relatively small keys provided by ECC comparing to other large public key algorithms such as RSA where it is known that a 160-bit ECC has roughly the same security strength as 1024 bit RSA. Arithmetic operations involved in ECC computation suffers from modular inversion operation. Modular Inversion is known to be the most time consuming operation performed by the ECC crypto-processor. Inversion operations can be replaced by several simpler multiplication operations using projective coordinates system instead of the classical affine coordinates. Based on this notion, new elliptic curve cryptographic processor architecture is presented here which results in significant reduction in execution time and gives a range of trade-off between speed and area. This is achieved by exploiting the inherent parallelism that exists in elliptic curve arithmetic computations. In this work, the Binary Hessian projective coordinates system over GF (2N) is presented to perform ECC arithmetic computations using parallel multipliers and adders to obtain maximum parallelism. Three projection systems will be applied to Binary Hessian Curves using parallel multipliers and adders in order to choose the one that reduce the computation time consumed by the use of affine coordinates with relatively full utilization of multiplier units, these projection Systems are: (X/Z, Y/Z), (X/Z, Y/Z2), and (X/Z2, Y/Z3). Our proposed processor will enhances the performance as well as the security of elliptic curves against the Simple Time Attack (STA) and Simple Power Attack (SPA).

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Beat IoT cyberthreats with our industry-leading threat intelligence and official library of Snort signatures .

Talos incident response

Work with expert threat hunters to prepare, test your defense, respond, and recover from a breach.

Forrester names Cisco a Leader in OT cybersecurity

Cisco Industrial Threat Defense is a comprehensive OT security solution that's simple to deploy at scale and that unifies IT and OT security to better protect critical infrastructures.

Secure your OT/ICS with your existing setup

Enjoy ot cybersecurity built in to switches and routers.

Use your network as a sensor and enforcer. Deploy ICS security that sees more, does more, and scales simply.

Use your IT security solutions to protect industrial operations

Take advantage of your Cisco Secure solutions to protect your OT/ICS as well as your IT.

Keep your existing security tools

Integrate third-party tools. Cisco Industrial Threat Defense is modular and works with what you already have.

OT/ICS security made simple

Take the guesswork out of your industrial security setup. Cisco Validated Designs (CVDs) provide reference architectures, tested system designs, configuration instructions, bills of materials, and more.

Secure IoT networking, built for your industry

Digital manufacturing.

Get your network foundation fit for digital transformation and Industry 4.0.

Digital utilities

Build a secure, scalable, and reliable grid that supports renewable energy resources.

Connected roadways

Enhance traffic management by connecting your roadside infrastructure.

Connected ports and terminals

Boost productivity and output with secure, reliable terminal automation.

Public transportation

Improve efficiency, security, and passenger experience with connected transportation.

Oil and gas

Build safe and efficient upstream, midstream, and downstream operations.

Award-winning innovations

Cisco wins secure manufacturing and OT remote access awards

Cisco was recognized for Smart Manufacturing Solution of the Year and IoT Security Innovation of the Year in the 2024 IoT Breakthrough Awards. Our smart manufacturing solution unifies networking and security in one architecture to help reduce costs and complexities. Our IoT security solution's zero-trust network access enables secure remote access to industrial assets.

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Cisco Enterprise Agreement

One licensing agreement for all your Cisco software

Get all the Cisco IoT networking equipment and software licenses you’ll ever need with one simple, cross-portfolio agreement.

Cisco Customer Experience services

Get guidance from the network experts

Achieve operational excellence by reducing risk, accelerating transformation, and optimizing your network with expert guidance, validated designs, best practices, and proven processes.

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• In book: Developments in Information Security and Cybernetic Wars (pp.1-41)

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