Problems and Vulnerabilities of Ethical Hacking in Pakistan

Imran, Muhammad; Faisal, Muhammad; Islam, Noman

doi:10.1109/intellect47034.2019.8955459

Cited by 5 publications

(4 citation statements)

References 4 publications

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“…Furthermore, pioneering approaches, such as the Low-Latency and High-Throughput Multipath routing technique, as elucidated by Ramachandran et al (2022), have been devised to counter novel threats such as black hole attacks. Meanwhile, Imran et al (2019) have employed machine learning and nature-inspired algorithms to scrutinize credit card data, fortifying fraud prevention measures. Against this backdrop, integrating artificial intelligence, machine learning, and IoT technologies has heralded a new era in cybercrime analysis and cybersecurity enhancement, a paradigm eloquently underscored by Sood and Enbody (2013) and epitomized in the broader research landscape.…”

Section: Literature Reviewmentioning

confidence: 99%

Psychological profiling of hackers via machine learning toward sustainable cybersecurity

Hani,

Sohaib,

Khan

et al. 2024

Front. Comput. Sci.

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This research addresses a challenge of the hacker classification framework based on the “big five personality traits” model (OCEAN) and explores associations between personality traits and hacker types. The method's application prediction performance was evaluated in two groups: Students with hacking experience who intend to pursue information security and ethical hacking and industry professionals who work as White Hat hackers. These professionals were further categorized based on their behavioral tendencies, incorporating Gray Hat traits. The k-means algorithm analyzed intra-cluster dependencies, elucidating variations within different clusters and their correlation with Hat types. The study achieved an 88% accuracy in mapping clusters with Hat types, effectively identifying cyber-criminal behaviors. Ethical considerations regarding privacy and bias in personality profiling methodologies within cybersecurity are discussed, emphasizing the importance of informed consent, transparency, and accountability in data management practices. Furthermore, the research underscores the need for sustainable cybersecurity practices, integrating environmental and societal impacts into security frameworks. This study aims to advance responsible cybersecurity practices by promoting awareness and ethical considerations and prioritizing privacy, equity, and sustainability principles.

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Section: Literature Reviewmentioning

confidence: 99%

Psychological profiling of hackers via machine learning toward sustainable cybersecurity

Hani,

Sohaib,

Khan

et al. 2024

Front. Comput. Sci.

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“…Different social media companies and cellular companies do not cooperate with FIA's cyber need to establish a mutual legal assistance all out information for solving a case. In Pakistan, hacking is relatively new type of cybercrimes for the federal investigation agencies (Imran, et al, 2019). Cybercrimes wing has lodged 1576 complaints of banking sector in 2022.…”

Section: Case Study Of Pakistanmentioning

confidence: 99%

Impact of Enactment of ‘The Prevention of Electronic Crimes Act, 2016’ as Legal Support in Pakistan

Chen

Afzal

2023

AESSR

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This work is based on impact of implementation of digital laws in Pakistan. The focus of this study was on implementation of Digital Laws as Legal support for digital operations in Pakistan. The theoretical conclusions resulting from the work carried out can be used in the development of conceptual concepts of digital laws and its implementation as legal support. The data of three years 2019, 2020 and 2021 is compiled for the analysis, after the implementation of Electronic Crimes Act, 2016. The implementation of Electronic Crimes Act of Pakistan provided positive results. There was a positive change in the number of cases dealt under this law after its implementation. This act is being used as legal tool to solve digital crimes. The analytical results of this research report outcome will stand unlimited influence further study of digital law.

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“…While the current security devices attention to the appearance of the violence, somewhat after the attacker. Further, it focused on the attacker behavior analysis due to it being a challenging problem [26], [27], [28],[29], [30], [31], [32], [33],[34], [35],[36],[37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48],[49], [50].…”

Section: Bsummary Of Other Associated Research Papersmentioning

confidence: 99%

Using ML and Data-Mining Techniques in Automatic Vulnerability Software Discovery

2021

IJATCSE

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Today’s age is Machine Learning (ML) and Data-Mining (DM) Techniques, as both techniques play a significant role in measuring vulnerability prediction accuracy. In the field of computer security, vulnerability is a fault that might be exploited as a risk artist that performs unlawful activities inside computer security. The attackers have several different fitting tools and they are taking advantage to operate software illegally and are using it for getting self-profit. Additionally, that helps to expose and identify the violence external. Weakness management remains a repeating exercise to identify, remediating, and justifying weaknesses. These exercises normally send software faults in computing security. The meaning of using weakness with the same risk might go to misperception. It is possible to have a major effect because of possible stability and the window of weakness presented a risk hole in the software and required to fruitfully finish and smoothly operate. A security room has to be set up (zero-day invaders). Software Security Faults stand serious among unavoidable complications in the realm of computer risk. In this study, we have provided a comprehensive review of three book chapters, more than a hundred research articles papers, and several associated papers of different work that have been studied within the capacity of SVA and discovery applying ML and data-mining techniques. The earlier work has been thoroughly read and an adequately comprehensive summary has been provided in table-1. ML techniques that can professionally handle these attacks and we expect the net result of this survey article to help indesigning the new detection model for identifying the above-mentioned attacks

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Problems and Vulnerabilities of Ethical Hacking in Pakistan

Cited by 5 publications

References 4 publications

Psychological profiling of hackers via machine learning toward sustainable cybersecurity

Psychological profiling of hackers via machine learning toward sustainable cybersecurity

Impact of Enactment of ‘The Prevention of Electronic Crimes Act, 2016’ as Legal Support in Pakistan

Using ML and Data-Mining Techniques in Automatic Vulnerability Software Discovery

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