Investigation of cyber attacks using post-installation app detection method

The widespread use of smartphones worldwide in recent years has led to a corresponding rise in the number of mobile applications available for Android devices. These apps offer users convenient ways to perform various daily tasks but their proliferation has also created an environment in which attackers can steal sensitive information from smartphones. Insecure options employed by many app developers to create vulnerabilities that can be exploited by the attackers to gain access smartphones’ data. While existing methods can detect malware during an app installation but they do not sufficiently address the post-installation attacks such as fake apps or Man-in-the-Disk (MITD) attacks. The proposed method provide solution to address the post-installation attacks includes data leakage, malware injection, repackaging, reverse engineering, privilege escalation, and UI spoofing. To mitigate this risk, the Post-Installation App Detection Method is proposed to monitor and regulate sensitive information flow and prevent MITD attacks and is achieved 97% accuracy in detection of MITD attacks.

Authors

Institutions

Publication Details

Journal
Cogent Engineering
Published
2024-10-09
DOI
https://doi.org/10.1080/23311916.2024.2411859
Citations
2
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation of cyber attacks using post-installation app detection method

Anil Kumar Saxena, Mamidi Kiran Kumar, Sudeepthi Govathoti, Ammar Hameed Shnain et al.
2 citations
Cogent Engineering
Advanced Malware Detection Techniques
0.70
article

Investigation of cyber attacks using post-installation app detection method

Anil Kumar Saxena, Mamidi Kiran Kumar, Sudeepthi Govathoti, Ammar Hameed Shnain, Khristina Maksudovna Vafaeva, Karuna Gotlur, Kireet Muppavaram
article en
2 citations

Abstract

The widespread use of smartphones worldwide in recent years has led to a corresponding rise in the number of mobile applications available for Android devices. These apps offer users convenient ways to perform various daily tasks but their proliferation has also created an environment in which attackers can steal sensitive information from smartphones. Insecure options employed by many app developers to create vulnerabilities that can be exploited by the attackers to gain access smartphones’ data. While existing methods can detect malware during an app installation but they do not sufficiently address the post-installation attacks such as fake apps or Man-in-the-Disk (MITD) attacks. The proposed method provide solution to address the post-installation attacks includes data leakage, malware injection, repackaging, reverse engineering, privilege escalation, and UI spoofing. To mitigate this risk, the Post-Installation App Detection Method is proposed to monitor and regulate sensitive information flow and prevent MITD attacks and is achieved 97% accuracy in detection of MITD attacks.

Cogent EngineeringVol. 11(1)
Lovely Professional University (IN), Iraqi University (IQ), Uttaranchal University (IN), GITAM University (IN)
Openalex Percentile: Top 31%
Advanced Malware Detection Techniques
0.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Investigation of cyber attacks using post-installation app detection method — Anil Kumar Saxena, Mamidi Kiran Kumar, et al. · Cogent Engineering (2024) | TGRS Research Map | TGRS