Hacker

This study investigates common reasoning limitations in Large Language Models (LLMs) and proposes a targeted prompting strategy to mitigate these issues. I identify several problem types where LLMs consistently fail due to over-reliance on training data patterns rather than logical reasoning. By implementing a carefully crafted prompt, I demonstrate significant improvements in LLMs' ability to approach problems methodically and arrive at correct conclusions based on given information rather than preconceived notions or biases.

Internet of Things (IoT) is an emerging filed for technical, social, and economic significance. Consumer products, durable goods, cars and trucks, industrial and utility components, sensors, and other everyday objects are being combined and connected with Internet and powerful data analytic capabilities that promise to transform the traditional services. Projection of IoT on the Internet and economy is impressive, with some anticipating as many as 100 billion connected IoT devices and a global economic impact of more than $11 trillion by 2025. At the same time, the IoT has been suffered from various challenges that need to be addressed with new standards, methods, and systems and provide more potential benefits. Attention-grabbing headlines about the hacking of Internet-connected devices, surveillance concerns, and privacy fears already have captured public attention. Technical challenges need new standards and policies, legal and development challenges need new methods and systems....

Databases hold a critical concentration of sensitive information and become available on the internet to facilitate access, and as a result, databases are vulnerable and become the target of hackers. Today the security of database system become one of the most urgent tasks in database research, so to protect database system from attacking and compromised through authorized users who abuse or misuse data and unauthorized users who made unprivileged access. In this paper most of database vulnerabilities and threats which may face database system are reviewed and allocated proposed security techniques to protect database system from these threats to reduce risk of attacking database system.

The rapid evolution and widespread use of network-based technologies have ushered in a corresponding
surge in cyber-attacks, necessitating more advanced security measures to safeguard against these threats.
In response, this study presents a novel approach to network intrusion detection systems (NIDS) by
integrating sophisticated deep learning algorithms. The primary aim is to detect and identify diverse
types of attacks that infiltrate specific network segments, thereby enhancing the overall security of the
network. The research methodology embarks by initializing sensor nodes within a Wireless Sensor
Network (WSN), followed by a unique selection of Cluster Heads (CHs) through an innovative
optimization algorithm. This strategic approach optimizes the network's security measures and ensures
robust attack detection capabilities. The identified CHs serve as central points, facilitating the clustering
of nodes using an advanced clustering algorithm. Each CH houses an Intrusion Detection System (IDS),
which is trained using a publicly available NIDS dataset. Initially, the dataset undergoes common
preprocessing steps, with subsequent extraction and validation of pertinent features. Following this, the
features' dimensionality is reduced and fed into a novel deep learning-based modified classification
algorithm. In real-time operations, when sensor nodes capture data, the network analyzer balances the
network traffic and transmits it to the respective CHs. The IDS within the CHs then categorizes the
detected attacks based on the similarity of validated features. The proposed approach emphasizes a
dynamic response to real-time threats within the network, optimizing the identification and classification
of potential attacks. The study concludes with experimental analyses to demonstrate the effectiveness
of the developed approach. The assessment is based on various evaluation metrics, showcasing the
system's performance and efficiency in detecting, categorizing, and responding to network intrusions.
The effectiveness of the proposed model, leveraging advanced technologies such as deep learning,
Cluster Heads, Wireless Sensor Networks, and Intrusion Detection Systems, will be a significant
contribution to the evolving landscape of network security.

Abstract: We are building a wide area surrogate computing platform, called WASCo, that allows users to dynamically locate, allocate, and exploit resources on surrogate computers spread around the Internet. WASCo allows clients to install and run arbitrary code on surrogates. Uses of WASCo include offloading energy-intensive operations from energy-constrained devices, executing bandwidth-intensive queries near a large data source, creating a dynamic resilient overlay network (RON) to route around internet problems, or ...

This article describes and analyzes one of the actions developed in the interinstitutional research linked to the project “School-World Connection: innovative spaces for citizen training”. The problem refers to the violence present within the school, represented in its diverse faces, and both physical and virtual environments. The main objective is to discuss the challenges and confrontations built by the research professors during the project's journey. The methodology used was based on the collaborative construction between researchers from the school and the university. As a result we have the strengthening of hybrid spaces, forming ambiences that collaborate so that practitioners can act in a more free, creative and authorial way.Este artigo descreve e analisa uma das ações desenvolvidas na pesquisa interinstitucional vinculada ao projeto “Conexão Escola-Mundo: espaços inovadores para formação cidadã”. A problemática refere-se à violência presente dentro da escola, represent...

In the modern age, the increasing use and exploration of information technology and the internet by hackers has created a new security threat to the integrity and socio-political stability of the Malaysian nation. Malaysia is not only one of the most dynamic developing countries in the region, but it is also facing many border disputes and terrorism with its neighboring countries. For example, maritime and territorial disputes between Malaysia and Indonesia, Malaysia and Philippines, as well as sovereignty disputes with Singapore over part rocks island with Singapore. These disputes not only dragged diplomatic diplomats among the two political leaders of the country, but also involved cyber-hacking between countries. For example, cyber-attacks have taken place, when disputes over ownership of the Ambalat Block and East Ambalat Block in the Makassar Strait are at its peak between Malaysia and Indonesia. The attack has resulted in severe damage to a number of government sites owned by...

Indonesia has started implementing e-democracy in the general election process by determining e-KTP as a voter requirement. This paper explored Indonesia’s efforts to develop e-democracy. Qualitative methods were used by applying desk research and triangulation methods. The results demonstrated that Indonesia is on the right track to develop e-democracy. Furthermore, various electoral processes have used different kinds of electronic media. In the future, it could be possible to implement e-voting and e-petition. Some challenges remain, including the digital divide, protecting private data, and resiliance of the system against hackers. Keywords: e-democracy, e-KTP, e-government, society 5.0

On Thursday, September 15th, 2022, Uber, an American multinational ride-share company, confirmed reports of an organization-wide cybersecurity breach. This concerns how an (allegedly) 18-year-old attacker could hack the ridesharing giant’s IT infrastructure, acquire access to user data, and access vulnerabilities reported to Uber’s HackerOne account. It’s important to note that a single technology solution could not have avoided this breach, nor was it that a single person, company, or provider was to blame. Building on CyberArk Red Team and Labs ‘analysis, let’s delve deeper into the Uber hack, particularly the hard-coded credentials that were reportedly used to gain administrative access. This incident underscores the criticality of stacked defenses, showing how they can effectively collaborate to thwart related attacks. This should instill confidence in our ability to mitigate such breaches in the future, knowing that we have a robust system in place.

On Thursday, September 15th, 2022, Uber, an American multinational ride-share company, confirmed reports of an organization-wide cybersecurity breach. This concerns how an (allegedly) 18-year-old attacker could hack the ridesharing giant’s IT infrastructure, acquire access to user data, and access vulnerabilities reported to Uber’s HackerOne account. It’s important to note that a single technology solution could not have avoided this breach, nor was it that a single person, company, or provider was to blame. Building on CyberArk Red Team and Labs ‘analysis, let’s delve deeper into the Uber hack, particularly the hard-coded credentials that were reportedly used to gain administrative access. This incident underscores the criticality of stacked defenses, showing how they can effectively collaborate to thwart related attacks. This should instill confidence in our ability to mitigate such breaches in the future, knowing that we have a robust system in place.

RESUME : La fraude bancaire, tout particulierement celle qui implique l’hameconnage, reste un enjeu majeur de la relation qu’entretiennent les banques avec leurs clients. Les statistiques croissantes sur les montants derobes des comptes des victimes et la multiplicite des contremesures, des organismes nationaux et des coalitions multinationales d’entreprises qui luttent contre ce fleau en sont deux indicateurs de l’etendue du phenomene. Ce constat nous a amenes a aborder dans cette these, les questions des facteurs de risque de victimisation et des ameliorations a apporter aux contremesures afin d’en diminuer les impacts. A ete etudiee en premier, la question de savoir quels sont les elements necessaires et suffisants a la definition de la victimisation par hameconnage bancaire. Nous avons repondu a cette question en proposant un ensemble coherent de quatre elements sur lesquels doit s’appuyer toute definition de la victimisation par hameconnage bancaire, notamment, l’action posee, ...

In this contribution we present a novel work of text steganography. Now a days, maintain the security of the secret data has been a great challenge. Sender can encrypt the message before sending it. Encrypted messages sending frequently through a communication channel like Internet, draws the attention of third parties, hackers and crackers, perhaps causing attempts to break and reveal the original messages. Steganography is a promising area which is used for secured data transmission over any ...

There is widespread agreement that information systems are the lifeblood of the global economy, providing businesses with a crucial competitive edge in international markets and giving the world's governments and corporations of the 21st century the foundation they need to ensure the safety of their citizens and deliver superior services. Despite their importance, information systems face significant risks within and outside of the company. The best security methods can be circumvented by professional hackers, as the complexity of security attacks, the number of vulnerabilities, and the absence of implementation of quality information security management within companies have expanded substantially in recent years. For the sake of this discussion, the authors examine several security paradigms designed by scientists to protect the operations of multinational corporations.

Piracy is a significant source of concern facing software developers, music labels, and movie production companies. Firms continue to invest in digital rights management technologies to thwart piracy, but their efforts are quickly defeated by hackers and pirates. The goal of this research is to provide actionable insights that management may use to mitigate piracy. We conduct two studies to explore behavioral issues in the piracy context. In the first study, we theorize and provide support that moral obligation may mediate other constructs from the theory of planned behavior. We believe this is a consequence of the desire for an individual to rationalize unethical behavior, especially when the crime is victimless. In the second study, we relate piracy to an abstract public goods problem in economics. Specifically, we design and implement an experiment with several treatments to investigate the role of information targeting on coordination in a multi-threshold public goods game. Our ...

In the evolving landscape of cybersecurity, understanding the psychological dimensions of both attackers and defenders is crucial. Cybersecurity is not just a technical field but also one that is deeply intertwined with human behaviour and psychology. This whitepaper delves into the intersection of psychology and cybersecurity, focusing on profiling attackers, understanding their intentions, and exploring the role of psychology in cyber forensics. By understanding the cognitive and behavioural patterns of attackers, organizations can develop more robust defence mechanisms and improve incident response strategies. By integrating insights from psychological research, this paper aims to provide a deeper understanding of cyber threats and enhance strategies for mitigating risks.

Currently, the software handled by hackers is the main one to tackle a series of empirical knowledge, with this software attacking and helping organizations. The main objective is to analyze and systematize the software that is detected by hackers and crackers, in order to prevent risks and study the tactical levels and strategies for a given process. The analytical method is used in this investigation, for the study or analysis of the offensive software structure in public organizations. The results obtained from this research were an attack launching algorithm, software prototype taken by hackers, massive obfuscation model, and quantitative encryption model. It was concluded that piracy tools are used for preventive prevention and systems aggression, that is, to be defensive or offensive for a period, throughout an attack cycle.