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overkillsecurity 142 overkillsecuritypdf 52 news 47 keypoints 38 nsa 26 fbi 25 adapt tactics 11 Living Off the Land 11 LOTL 11 unpacking 10 vulnerability 9 cyber security 8 Digest 8 edge routers 8 Essential Eight Maturity Model 8 malware 8 Maturity Model 8 Monthly Digest 8 research 8 ubiquiti 8 IoT 7 lolbin 7 lolbins 7 Cyber Attacks 6 phishing 6 Forensics 5 Ransomware 5 soho 5 authToken 4 BYOD 4 MDM 4 OAuth 4 Energy Consumption 3 IoMT 3 medical 3 ai 2 AnonSudan 2 authentication 2 av 2 battery 2 Buffer Overflow 2 console architecture 2 cve 2 cybersecurity 2 energy 2 Google 2 incident response 2 MITM 2 mqtt 2 Passkeys 2 Retro 2 Velociraptor 2 video 2 Vintage 2 vmware 2 windows 2 1981 1 5g network research 1 8-bit 1 Ad Removal 1 Ad-Free Experience 1 ADCS 1 advisory 1 airwatch 1 AlphV 1 AMSI 1 android 1 Android15 1 announcement 1 antiPhishing 1 AntiPhishStack 1 antivirus 1 Apple 1 Atlassian 1 Attack 1 AttackGen 1 BatBadBut 1 Behavioral Analytics 1 BianLian 1 bias 1 Biocybersecurity 1 Biometric 1 bite 1 bitlocker 1 bitlocker bypass 1 Black Lotus Labs 1 blackberry 1 blizzard 1 botnet 1 Browser Data Theft 1 BucketLoot 1 CellularSecurity 1 checkpoint 1 china 1 chisel 1 cisa 1 CloudSecurity 1 CloudStorage 1 content 1 content category 1 cpu 1 Credential Dumping 1 CVE-2023-22518 1 CVE-2023-35080 1 CVE-2023-38043 1 CVE-2023-38543 1 CVE-2024-0204 1 CVE-2024-21111 1 CVE-2024-21345 1 cve-2024-21447 1 CVE-2024-24919 1 CVE-2024-26218 1 cve-2024-27129 1 cve-2024-27130 1 cve-2024-27131 1 cve-2024-3400 1 cvss 1 cyber operations 1 Cyber Toufan Al-Aqsa 1 cyberops 1 D-Link 1 dark pink apt 1 data leakage 1 dcrat 1 Demoscene 1 DevSecOps 1 Dex 1 disassembler 1 DOS 1 e8mm 1 EDR 1 Embedded systems 1 Employee Training 1 EntraID 1 ESC8 1 Event ID 4663 1 Event ID 4688 1 Event ID 5145 1 Evilginx 1 EvilLsassTwin 1 Facebook 1 FBI IC3 1 FIDO2 1 filewave 1 Firebase 1 Firmware 1 Fortra's GoAnywhere MFT 1 france 1 FraudDetection 1 fuxnet 1 fuzzer 1 game console 1 gamification 1 GeminiNanoAI 1 genzai 1 go 1 GoogleIO2024 1 GooglePlayProtect 1 GoPhish 1 gpu 1 ICS 1 ICSpector 1 IDA 1 IncidentResponse 1 Industrial Control Systems 1 jazzer 1 jetbrains 1 jvm 1 KASLR 1 KillNet 1 LeftOverLocals 1 Leviathan 1 lg smart tv 1 lockbit 1 LSASS 1 m-trends 1 Machine Learning Integration 1 Mallox 1 MalPurifier 1 mandiant 1 MediHunt 1 Meta Pixel 1 ML 1 mobile network analysis 1 mobileiron 1 nes 1 nexus 1 NGO 1 Nim 1 Nimfilt 1 NtQueryInformationThread 1 OFGB 1 oracle 1 paid content 1 panos 1 Passwordless 1 Phishing Resilience 1 PingFederate 1 Platform Lock-in Tool 1 PlayIntegrityAPI 1 PlayStation 1 playstation 2 1 playstation 3 1 plc 1 podcast 1 Privilege Escalation 1 ps2 1 ps3 1 PulseVPN 1 qcsuper 1 qemu 1 qualcomm diag protocol 1 radio frame capture 1 Raytracing 1 Real-time Attack Detection 1 Red Team 1 Registry Modification 1 Risk Mitigation 1 RiskManagement 1 rodrigo copetti 1 rooted android devices 1 Router 1 rust 1 Sagemcom 1 sandworm 1 ScamCallDetection 1 security 1 Security Awareness 1 session hijacking 1 SharpADWS 1 SharpTerminator 1 shellcode 1 SIEM 1 Siemens 1 skimming 1 Smart Devices 1 snes 1 SSO 1 stack overflow 1 TA427 1 TA547 1 TDDP 1 telecom security 1 Telegram 1 telerik 1 TeleTracker 1 TEMP.Periscope 1 Terminator 1 Think Tanks 1 Threat 1 threat intelligence 1 threat intelligence analysis 1 Threat Simulation 1 tool 1 toolkit 1 tp-link 1 UK 1 UserManagerEoP 1 uta0218 1 virtualbox 1 VPN 1 vu 1 wargame 1 Web Authentication 1 WebAuthn 1 webos 1 What2Log 1 Windows 11 1 Windows Kernel 1 Windstream 1 women 1 WSUS 1 wt-2024-0004 1 wt-2024-0005 1 wt-2024-0006 1 xbox 1 xbox 360 1 xbox original 1 xss 1 Yubico 1 Z80A 1 ZX Spectrum 1 Больше тегов
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MediHunt

The ‎paper‏ ‎«MediHunt: ‎A ‎Network ‎Forensics ‎Framework‏ ‎for ‎Medical‏ ‎IoT‏ ‎Devices» ‎is ‎a‏ ‎real ‎page-turner.‏ ‎It ‎starts ‎by ‎addressing‏ ‎the‏ ‎oh-so-urgent ‎need‏ ‎for ‎robust‏ ‎network ‎forensics ‎in ‎Medical ‎Internet‏ ‎of‏ ‎Things ‎(MIoT)‏ ‎environments. ‎You‏ ‎know, ‎those ‎environments ‎where ‎MQTT‏ ‎(Message‏ ‎Queuing‏ ‎Telemetry ‎Transport)‏ ‎networks ‎are‏ ‎the ‎darling‏ ‎of‏ ‎smart ‎hospitals‏ ‎because ‎of ‎their ‎lightweight ‎communication‏ ‎protocol.

MediHunt ‎is‏ ‎an‏ ‎automatic ‎network ‎forensics‏ ‎framework ‎designed‏ ‎for ‎real-time ‎detection ‎of‏ ‎network‏ ‎flow-based ‎traffic‏ ‎attacks ‎in‏ ‎MQTT ‎networks. ‎It ‎leverages ‎machine‏ ‎learning‏ ‎models ‎to‏ ‎enhance ‎detection‏ ‎capabilities ‎and ‎is ‎suitable ‎for‏ ‎deployment‏ ‎on‏ ‎those ‎ever-so-resource-constrained‏ ‎MIoT ‎devices.‏ ‎Because, ‎naturally,‏ ‎that’s‏ ‎what ‎we’ve‏ ‎all ‎been ‎losing ‎sleep ‎over.

These‏ ‎points ‎set‏ ‎the‏ ‎stage ‎for ‎the‏ ‎detailed ‎discussion‏ ‎of ‎the ‎framework, ‎its‏ ‎experimental‏ ‎setup, ‎and‏ ‎evaluation ‎presented‏ ‎in ‎the ‎subsequent ‎sections ‎of‏ ‎the‏ ‎paper. ‎Can’t‏ ‎wait ‎to‏ ‎dive ‎into ‎those ‎thrilling ‎details!

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The‏ ‎paper‏ ‎addresses‏ ‎the ‎need‏ ‎for ‎robust‏ ‎network ‎forensics‏ ‎in‏ ‎Medical ‎Internet‏ ‎of ‎Things ‎(MIoT) ‎environments, ‎particularly‏ ‎focusing ‎on‏ ‎MQTT‏ ‎(Message ‎Queuing ‎Telemetry‏ ‎Transport) ‎networks.‏ ‎These ‎networks ‎are ‎commonly‏ ‎used‏ ‎in ‎smart‏ ‎hospital ‎environments‏ ‎for ‎their ‎lightweight ‎communication ‎protocol.‏ ‎It‏ ‎highlights ‎the‏ ‎challenges ‎in‏ ‎securing ‎MIoT ‎devices, ‎which ‎are‏ ‎often‏ ‎resource-constrained‏ ‎and ‎have‏ ‎limited ‎computational‏ ‎power. ‎The‏ ‎lack‏ ‎of ‎publicly‏ ‎available ‎flow-based ‎MQTT-specific ‎datasets ‎for‏ ‎training ‎attack‏ ‎detection‏ ‎systems ‎is ‎mentioned‏ ‎as ‎a‏ ‎significant ‎challenge.

The ‎paper ‎presents‏ ‎MediHunt‏ ‎as ‎an‏ ‎automatic ‎network‏ ‎forensics ‎solution ‎designed ‎for ‎real-time‏ ‎detection‏ ‎of ‎network‏ ‎flow-based ‎traffic‏ ‎attacks ‎in ‎MQTT ‎networks. ‎It‏ ‎aims‏ ‎to‏ ‎provide ‎a‏ ‎comprehensive ‎solution‏ ‎for ‎data‏ ‎collection,‏ ‎analysis, ‎attack‏ ‎detection, ‎presentation, ‎and ‎preservation ‎of‏ ‎evidence. ‎It‏ ‎is‏ ‎designed ‎to ‎detect‏ ‎a ‎variety‏ ‎of ‎TCP/IP ‎layers ‎and‏ ‎application‏ ‎layer ‎attacks‏ ‎on ‎MQTT‏ ‎networks. ‎It ‎leverages ‎machine ‎learning‏ ‎models‏ ‎to ‎enhance‏ ‎the ‎detection‏ ‎capabilities ‎and ‎is ‎suitable ‎for‏ ‎deployment‏ ‎on‏ ‎resource ‎constrained‏ ‎MIoT ‎devices.

The‏ ‎primary ‎objective‏ ‎of‏ ‎the ‎MediHunt‏ ‎is ‎to ‎strengthen ‎the ‎forensic‏ ‎analysis ‎capabilities‏ ‎in‏ ‎MIoT ‎environments, ‎ensuring‏ ‎that ‎malicious‏ ‎activities ‎can ‎be ‎traced‏ ‎and‏ ‎mitigated ‎effectively.

Benefits

📌 Real-time‏ ‎Attack ‎Detection:‏ ‎MediHunt ‎is ‎designed ‎to ‎detect‏ ‎network‏ ‎flow-based ‎traffic‏ ‎attacks ‎in‏ ‎real-time, ‎which ‎is ‎crucial ‎for‏ ‎mitigating‏ ‎potential‏ ‎damage ‎and‏ ‎ensuring ‎the‏ ‎security ‎of‏ ‎MIoT‏ ‎environments.

📌 Comprehensive ‎Forensic‏ ‎Capabilities: ‎The ‎framework ‎provides ‎a‏ ‎complete ‎solution‏ ‎for‏ ‎data ‎collection, ‎analysis,‏ ‎attack ‎detection,‏ ‎presentation, ‎and ‎preservation ‎of‏ ‎evidence.‏ ‎This ‎makes‏ ‎it ‎a‏ ‎robust ‎tool ‎for ‎network ‎forensics‏ ‎in‏ ‎MIoT ‎environments.

📌 Machine‏ ‎Learning ‎Integration:‏ ‎By ‎leveraging ‎machine ‎learning ‎models,‏ ‎MediHunt‏ ‎enhances‏ ‎its ‎detection‏ ‎capabilities. ‎The‏ ‎use ‎of‏ ‎a‏ ‎custom ‎dataset‏ ‎that ‎includes ‎flow ‎data ‎for‏ ‎both ‎TCP/IP‏ ‎layer‏ ‎and ‎application ‎layer‏ ‎attacks ‎allows‏ ‎for ‎more ‎accurate ‎and‏ ‎effective‏ ‎detection ‎of‏ ‎a ‎wide‏ ‎range ‎of ‎cyber-attacks.

📌 High ‎Performance: ‎The‏ ‎framework‏ ‎has ‎demonstrated‏ ‎high ‎performance,‏ ‎with ‎F1 ‎scores ‎and ‎detection‏ ‎accuracy‏ ‎exceeding‏ ‎0.99 ‎and‏ ‎indicates ‎that‏ ‎it ‎is‏ ‎highly‏ ‎reliable ‎in‏ ‎detecting ‎attacks ‎on ‎MQTT ‎networks.

📌 Resource‏ ‎Efficiency: ‎Despite‏ ‎its‏ ‎comprehensive ‎capabilities, ‎MediHunt‏ ‎is ‎designed‏ ‎to ‎be ‎resource-efficient, ‎making‏ ‎it‏ ‎suitable ‎for‏ ‎deployment ‎on‏ ‎resource-constrained ‎MIoT ‎devices ‎like ‎Raspberry‏ ‎Pi.

Drawbacks

📌 Dataset‏ ‎Limitations: ‎While‏ ‎MediHunt ‎uses‏ ‎a ‎custom ‎dataset ‎for ‎training‏ ‎its‏ ‎machine‏ ‎learning ‎models,‏ ‎the ‎creation‏ ‎and ‎maintenance‏ ‎of‏ ‎such ‎datasets‏ ‎can ‎be ‎challenging. ‎The ‎dataset‏ ‎needs ‎to‏ ‎be‏ ‎regularly ‎updated ‎to‏ ‎cover ‎new‏ ‎and ‎emerging ‎attack ‎scenarios.

📌 Resource‏ ‎Constraints:‏ ‎Although ‎MediHunt‏ ‎is ‎designed‏ ‎to ‎be ‎resource-efficient, ‎the ‎inherent‏ ‎limitations‏ ‎of ‎MIoT‏ ‎devices, ‎such‏ ‎as ‎limited ‎computational ‎power ‎and‏ ‎memory,‏ ‎can‏ ‎still ‎pose‏ ‎challenges. ‎Ensuring‏ ‎that ‎the‏ ‎framework‏ ‎runs ‎smoothly‏ ‎on ‎these ‎devices ‎without ‎impacting‏ ‎their ‎primary‏ ‎functions‏ ‎can ‎be ‎difficult.

📌 Complexity‏ ‎of ‎Implementation: Implementing‏ ‎and ‎maintaining ‎a ‎machine‏ ‎learning-based‏ ‎network ‎forensics‏ ‎framework ‎can‏ ‎be ‎complex. ‎It ‎requires ‎expertise‏ ‎in‏ ‎cybersecurity ‎and‏ ‎machine ‎learning,‏ ‎which ‎may ‎not ‎be ‎readily‏ ‎available‏ ‎in‏ ‎all ‎healthcare‏ ‎settings.

📌 Dependence ‎on‏ ‎Machine ‎Learning‏ ‎Models:‏ ‎The ‎effectiveness‏ ‎of ‎MediHunt ‎heavily ‎relies ‎on‏ ‎the ‎accuracy‏ ‎and‏ ‎robustness ‎of ‎its‏ ‎machine ‎learning‏ ‎models. ‎These ‎models ‎need‏ ‎to‏ ‎be ‎trained‏ ‎on ‎high-quality‏ ‎data ‎and ‎regularly ‎updated ‎to‏ ‎remain‏ ‎effective ‎against‏ ‎new ‎types‏ ‎of ‎attacks.

📌 Scalability ‎Issues: While ‎the ‎framework‏ ‎is‏ ‎suitable‏ ‎for ‎small-scale‏ ‎deployments ‎on‏ ‎devices ‎like‏ ‎Raspberry‏ ‎Pi, ‎scaling‏ ‎it ‎up ‎to ‎larger, ‎more‏ ‎complex ‎MIoT‏ ‎environments‏ ‎may ‎present ‎additional‏ ‎challenges. ‎Ensuring‏ ‎consistent ‎performance ‎and ‎reliability‏ ‎across‏ ‎a ‎larger‏ ‎network ‎of‏ ‎devices ‎can ‎be ‎difficult


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overkillsecurity 142 overkillsecuritypdf 52 news 47 keypoints 38 nsa 26 fbi 25 adapt tactics 11 Living Off the Land 11 LOTL 11 unpacking 10 vulnerability 9 cyber security 8 Digest 8 edge routers 8 Essential Eight Maturity Model 8 malware 8 Maturity Model 8 Monthly Digest 8 research 8 ubiquiti 8 IoT 7 lolbin 7 lolbins 7 Cyber Attacks 6 phishing 6 Forensics 5 Ransomware 5 soho 5 authToken 4 BYOD 4 MDM 4 OAuth 4 Energy Consumption 3 IoMT 3 medical 3 ai 2 AnonSudan 2 authentication 2 av 2 battery 2 Buffer Overflow 2 console architecture 2 cve 2 cybersecurity 2 energy 2 Google 2 incident response 2 MITM 2 mqtt 2 Passkeys 2 Retro 2 Velociraptor 2 video 2 Vintage 2 vmware 2 windows 2 1981 1 5g network research 1 8-bit 1 Ad Removal 1 Ad-Free Experience 1 ADCS 1 advisory 1 airwatch 1 AlphV 1 AMSI 1 android 1 Android15 1 announcement 1 antiPhishing 1 AntiPhishStack 1 antivirus 1 Apple 1 Atlassian 1 Attack 1 AttackGen 1 BatBadBut 1 Behavioral Analytics 1 BianLian 1 bias 1 Biocybersecurity 1 Biometric 1 bite 1 bitlocker 1 bitlocker bypass 1 Black Lotus Labs 1 blackberry 1 blizzard 1 botnet 1 Browser Data Theft 1 BucketLoot 1 CellularSecurity 1 checkpoint 1 china 1 chisel 1 cisa 1 CloudSecurity 1 CloudStorage 1 content 1 content category 1 cpu 1 Credential Dumping 1 CVE-2023-22518 1 CVE-2023-35080 1 CVE-2023-38043 1 CVE-2023-38543 1 CVE-2024-0204 1 CVE-2024-21111 1 CVE-2024-21345 1 cve-2024-21447 1 CVE-2024-24919 1 CVE-2024-26218 1 cve-2024-27129 1 cve-2024-27130 1 cve-2024-27131 1 cve-2024-3400 1 cvss 1 cyber operations 1 Cyber Toufan Al-Aqsa 1 cyberops 1 D-Link 1 dark pink apt 1 data leakage 1 dcrat 1 Demoscene 1 DevSecOps 1 Dex 1 disassembler 1 DOS 1 e8mm 1 EDR 1 Embedded systems 1 Employee Training 1 EntraID 1 ESC8 1 Event ID 4663 1 Event ID 4688 1 Event ID 5145 1 Evilginx 1 EvilLsassTwin 1 Facebook 1 FBI IC3 1 FIDO2 1 filewave 1 Firebase 1 Firmware 1 Fortra's GoAnywhere MFT 1 france 1 FraudDetection 1 fuxnet 1 fuzzer 1 game console 1 gamification 1 GeminiNanoAI 1 genzai 1 go 1 GoogleIO2024 1 GooglePlayProtect 1 GoPhish 1 gpu 1 ICS 1 ICSpector 1 IDA 1 IncidentResponse 1 Industrial Control Systems 1 jazzer 1 jetbrains 1 jvm 1 KASLR 1 KillNet 1 LeftOverLocals 1 Leviathan 1 lg smart tv 1 lockbit 1 LSASS 1 m-trends 1 Machine Learning Integration 1 Mallox 1 MalPurifier 1 mandiant 1 MediHunt 1 Meta Pixel 1 ML 1 mobile network analysis 1 mobileiron 1 nes 1 nexus 1 NGO 1 Nim 1 Nimfilt 1 NtQueryInformationThread 1 OFGB 1 oracle 1 paid content 1 panos 1 Passwordless 1 Phishing Resilience 1 PingFederate 1 Platform Lock-in Tool 1 PlayIntegrityAPI 1 PlayStation 1 playstation 2 1 playstation 3 1 plc 1 podcast 1 Privilege Escalation 1 ps2 1 ps3 1 PulseVPN 1 qcsuper 1 qemu 1 qualcomm diag protocol 1 radio frame capture 1 Raytracing 1 Real-time Attack Detection 1 Red Team 1 Registry Modification 1 Risk Mitigation 1 RiskManagement 1 rodrigo copetti 1 rooted android devices 1 Router 1 rust 1 Sagemcom 1 sandworm 1 ScamCallDetection 1 security 1 Security Awareness 1 session hijacking 1 SharpADWS 1 SharpTerminator 1 shellcode 1 SIEM 1 Siemens 1 skimming 1 Smart Devices 1 snes 1 SSO 1 stack overflow 1 TA427 1 TA547 1 TDDP 1 telecom security 1 Telegram 1 telerik 1 TeleTracker 1 TEMP.Periscope 1 Terminator 1 Think Tanks 1 Threat 1 threat intelligence 1 threat intelligence analysis 1 Threat Simulation 1 tool 1 toolkit 1 tp-link 1 UK 1 UserManagerEoP 1 uta0218 1 virtualbox 1 VPN 1 vu 1 wargame 1 Web Authentication 1 WebAuthn 1 webos 1 What2Log 1 Windows 11 1 Windows Kernel 1 Windstream 1 women 1 WSUS 1 wt-2024-0004 1 wt-2024-0005 1 wt-2024-0006 1 xbox 1 xbox 360 1 xbox original 1 xss 1 Yubico 1 Z80A 1 ZX Spectrum 1 Больше тегов

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