International Journal for Electronic Crime Investigation

A Comprehensive Study for Malware Detection through Machine Learning in Executable Files

Zohaib Ahmad — Wed, 13 Mar 2024 00:00:00 +0500

Two methods are frequently used to analyze malware and start specimens: static analysis and
dynamic analysis. Following analysis, distinct characteristics are retrieved to distinguish malware
from benign samples. The detection capacity of malware is contingent upon the effectiveness with
which discriminative malware characteristics are retrieved through analysis methods. While
conventional approaches and techniques were used inadvertently, machine learning algorithms are
now utilized to classify malware, which can deal with the complexity and velocity of malware
creation. However, even though a few research papers have been published, recent classifications of
signature, behavioral and hybrid machine learning is not introduced well. Based on this demand, we
provide a comprehensive analysis of malware detection using machine learning, as well as address
the different difficulties associated with building the malware classifier. Finally, future work is
addressed to build an effective malware detection system by addressing different malware detection
problems.

Online shopping, Cyber frauds and Fraud prevention Strategies

Aftab Ahmad Malik — Wed, 13 Mar 2024 00:00:00 +0500

Online shopping is increasingly being targeted by hackers and cyber criminals, who exploit the
anonymity of the internet to deceive unsuspecting shoppers. These scams involve fake websites or
ads, posing as legitimate sellers, damaging innocent citizens' bank accounts and databases, and
causing damage to customers. Online shopping fraud involves using stolen credit or debit cards for
purchases, while identity theft involves stealing personal information for fraudulent purposes like
credit or illegal purchases. We discuss, the safety tips to avoid online shopping scams, using these
safety tips before making a purchase. In United states a government agency FTC has been entrusted
the task of implementation the civil law related to anti-trust; it also indorses and promotes the
protection of consumers rights while working with Justice Department. Online shopping scams were
the second most common fraud category in 2021, according to the FTC. To avoid them, use safety
tips to identify and avoid scams. Cybercriminals steal and can use personal information to make
unauthorized purchases or engage in fraudulent activities. Identity theft is a crime involving capturing and the misuse of another's personal identifying information like Id-card, credit card and bank
account information. Fraudsters often use stolen credit cards to purchase items, return them for
refunds, and then sell the refunded money or goods. Machine learning is a rapidly evolving technology that can significantly enhance online shopping security and user awareness which is coupled
with artificial intelligence

IoT Malware: A Comprehensive Survey of Threats, Vulnerabilities, and Mitigation Strategies

Muhammad Shairoze Malik — Wed, 13 Mar 2024 00:00:00 +0500

The proliferation of the Internet of Things (IoT) has ushered in a new era of connectivity and
convenience, linking a vast array of devices from household appliances to industrial machinery.
However, this interconnectivity also introduces significant security vulnerabilities, making IoT
systems attractive targets for malicious actors. This comprehensive survey delves into the multifaceted world of IoT malware, exploring the evolving landscape of threats that plague these systems.
We methodically analyze various types of IoT malware, identifying common attack vectors and the
intrinsic vulnerabilities that IoT devices often possess. These vulnerabilities range from inadequate
security protocols to the use of default credentials and unpatched software. Furthermore, the paper
highlights real-world instances where IoT devices have been compromised, leading to significant
disruptions and breaches of privacy. In addressing these challenges, we outline an array of mitigation strategies. These strategies include but are not limited to, enhanced encryption methods, regular
firmware updates, network segmentation, and the adoption of robust authentication mechanisms.
We also discuss the role of machine learning and artificial intelligence in predicting and preventing
IoT malware attacks. Moreover, our survey extends to the regulatory and ethical considerations
surrounding IoT security, advocating for a more proactive approach in standard-setting and compliance enforcement. The findings of this study aim to serve as a foundational resource for researchers,
cybersecurity professionals, and policymakers, emphasizing the need for a collective and informed
effort in fortifying the IoT ecosystem against the ever-growing threat of malware.

Enhancement of Security and Privacy of Smart Contracts in Blockchain

Syed Khurram Hassan — Wed, 13 Mar 2024 00:00:00 +0500

Smart contracts, leveraging the power of blockchain technology, have revolutionized the execution
and enforcement of agreements. However, their adoption also brings forth substantial challenges in
terms of security and privacy. This research paper aims to identify the recent areas of focus and
provide a comprehensive perspective on blockchain applications and smart contracts, highlighting
their main issues and corresponding solutions. Furthermore, it seeks to address the gaps in current
research and outline future avenues of investigation. The primary objective is to assess the security
and privacy concerns associated with smart contracts in blockchain and propose effective measures
to enhance their robustness. By conducting a thorough analysis of vulnerabilities, attack vectors, and
privacy considerations, this study offers valuable insights into the risks involved in smart contracts.
It also puts forth practical solutions and best practices to mitigate these risks, ensuring a more secure
and privacy-preserving environment for the deployment and execution of smart contracts.

Digital Investigations: Navigating Challenges in Tool Selection for Operating System Forensics

Kausar Parveen — Wed, 13 Mar 2024 00:00:00 +0500

The process of gathering, identifying, extracting, and documenting electronic evidence for use in
court is known as "digital forensics." We have a lot of tools at our disposal to make this procedure
quick and straightforward. Four tools have been selected for investigation and analysis in this work.
For every kind of digital forensics, the top tools have been selected based on several criteria. For
computer forensic tools, (Stellar and Forensic Tool Kit) have been investigated; for network forensic
tools, Network Map has been selected, and OSF mount has been examined as a live forensic tool.
Other forensic tool types, such as database, operating system, and mail forensic tools, are also
covered in this work. The role of Artificial intelligence in Digital Forensic tools has been discussed
in this paper by using both Decision Stump and Bayes net machine learning techniques. After
making an investigation of the IoT device traffic dataset using these two techniques, Decision Stump
gives us less accurate results compared with Bayes net.

Role of Technology by Police to Maintain Peace During Muharram

Gulam Rasul Zahid — Wed, 13 Mar 2024 00:00:00 +0500

Over the past several decades, policing agencies have implemented an array of technological advancements
to improve operational efficiency. Pakistan has increased security measures across the country for muharram
processions carried out for Ashura. Security has been enhanced across the country for the peaceful observance
of Ashura due to wave of religious terrorism from previous few decads. For this, a huge personnel of regular
police officers, along with an additional reserve officers, are deployed to guard mourning processions and
gatherings across the country and to keep the law and order situation under control. Role of police in providing peace during muharram is very significant. Police personel perform their duties for late nights with great
spirit during 1st week of Muharram under harsh weather (usually hot days), and danger of terrorism despite
limited resources. Good behavior, determination, dedication of police force during the muharram duties is
praise worthy and exemplary and it ensured maintenance of atmosphere of law and order work with diligence
and commitment. Police officers remain alert to counter any untoward incident and keep keen eye on sensitive
areas during Ashura. Police sealed many parts of inner as part of security for Ashura. They blocked roads and
streets leading to these places. cellular phone signals remained suspended as part of upgraded security. Checkpoints are kept functional across the country and additional security personnel is served during 9th and10th
muharram. District police personnel, bomb disposal units, Scouts, platoons of Constabulary and soldiers are
deployed to protect processions and sacred places and authorities took extraordinary measures to confirm the
security of people and religious gatherings during Ashura. Police installed closed circuit television cameras
(CCTV) along the procession routes. Police champions bear tough circumstances and nothing can down the
determination of the of Police force. We hope that the law enforcement agencies would continue to perform
their duties in the same way to ensure the protection of life and property of the citizens across the country

Malware Detection and Analysis Using Reverse Engineering

Muhammad Taseer Suleman — Wed, 13 Mar 2024 00:00:00 +0500

The pervasive and persistent nature of malware in the contemporary digital realm demands sophisticated methodologies for detection and analysis. Reverse engineering has emerged as a pivotal strategy in malware analysis, offering the means to unravel the intricate workings of malicious code. This
research paper presents a comprehensive exploration of the role of reverse engineering in the
domain of malware detection and analysis. It delves into the fundamental stages of the reverse
engineering process, encompassing code disassembly, static analysis, and dynamic analysis. Additionally, reverse engineering facilitates meticulous analysis of malware, encompassing intricate
examination of its structural attributes, operational mechanisms, and behavioral characteristics.
However, the landscape of reverse engineering is not devoid of challenges. Malware authors employ
sophisticated obfuscation techniques and antianalysis mechanisms to impede reverse engineering
endeavors. These measures encompass code encryption, packing, anti-debugging, and anti-virtualization strategies. By providing a comprehensive examination of the important role of reverse
engineering in malware detection and analysis, this research paper will elucidate an extensive array
of tools and methodologies.